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201. Healthcare services access challenges and determinants among persons with disabilities in Bangladesh.

Author: Rahman, Mizanur, Rana, Md Shohel, Rahman, Md Mostafizur, and Khan, Md Nuruzzaman
Subjects: *PEOPLE with disabilities, *FAMILY support, *CONSCIOUSNESS raising, *MULTILEVEL models, *MEDICAL care costs, *HEALTH facilities, *AGE groups
Abstract: Persons with disabilities in LMICs facing numerous challenges in accessing essential healthcare services. However, this understanding is lacking so far in LMICs and Bangladesh. This study aimed to explore the pattern and determinants of healthcare services access among persons with disabilities in Bangladesh. We analysed data from 4293 persons with disabilities extracted from the 2021 National Survey on Persons with Disabilities. The outcome variable was healthcare services access within three months of the survey, categorized as either "yes" or "no" based on perceived needs. Several individual, household, and community-level factors were considered as explanatory variables. We utilized a multilevel mixed-effect logistic regression model to explore the association of the outcome variable with explanatory variables. The analysis included stratification by age groups: 0–17 years and 18–95 years. One out of every four persons with disabilities in Bangladesh reported that they could not access healthcare services based on their needs within three months of the survey. The main reasons for not accessing services were healthcare costs (52.10%), followed by lack of family support (27.0%), and absence of healthcare facilities in their areas of residence (10.10%). Among those who did receive healthcare services, the majority reported accessing them from governmental hospitals (26.49%), followed by village practitioner (20.52%), and private healthcare centres (19.87%). There was a higher likelihood of accessing healthcare services among persons with disabilities residing in households with higher wealth quintiles and living in the Chattogram and Sylhet divisions. Unmarried or divorced/widowed/separated persons with disabilities reported lower likelihoods of accessing healthcare services. The findings of this study emphasize the need for policies and programs to ensure healthcare services for persons with disabilities in Bangladesh. This entails raising awareness about the importance of providing healthcare services for this demographic, as well as considering healthcare services as part of social safety net programs. [ABSTRACT FROM AUTHOR]
Published: 2024
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202. Effects of short inter-pregnancy/birth interval on adverse perinatal outcomes in Asia-Pacific region: A systematic review and meta-analysis.

Author: Hassen, Tahir Ahmed, Harris, Melissa L., Shifti, Desalegn Markos, Beyene, Tesfalidet, Khan, Md Nuruzzaman, Feyissa, Tesfaye Regassa, and Chojenta, Catherine
Subjects: *SMALL for gestational age, *BIRTH intervals, *REPRODUCTIVE health services, *FAMILY planning services, *NEONATAL mortality
Abstract: Background: Short inter-pregnancy or birth interval is associated with an increased risk of adverse perinatal outcomes. However, some emerging evidence questions this association and there are also inconsistencies among the existing findings. This study aimed to systematically review the evidence regarding the effect of short inter-pregnancy or birth intervals on adverse perinatal outcomes in the Asia-Pacific region. Methods: A comprehensive search of five databases was conducted targeting studies published between 2000 to 2023. Studies that reported on short inter-pregnancy or birth interval and examined adverse perinatal outcomes, such as low birthweight (LBW) preterm birth (PTB), small for gestational age (SGA), and neonatal mortality were included and appraised for methodological quality using the Joanna Briggs Institute critical appraisal tools. Three reviewers independently screened the studies and performed data extraction. Narrative synthesis and meta-analyses were conducted to summarise the key findings. Results: A total of 41 studies that fulfilled the inclusion criteria were included. A short-interpregnancy interval was associated with an increased risk of low birthweight (odds ratio [OR] = 1.65; 95%CI:1.39, 1.95), preterm birth (OR = 1.50; 95%CI: 1.35, 1.66), and small for gestational age (OR = 1.24; 95%CI:1.09, 1.41). We also found elevated odds of early neonatal mortality (OR = 1.91; 95%CI: 1.11, 3.29) and neonatal mortality (OR = 1.78; 95%CI: 1.25, 2.55) among women with short birth intervals. Conclusion: This review indicates that both short inter-pregnancy and birth interval increased the risk of adverse perinatal outcomes. This underscores the importance of advocating for and implementing strategies to promote optimal pregnancy and birth spacing to reduce the occurrence of adverse perinatal outcomes. Reproductive health policies and programs need to be further strengthened and promote access to comprehensive family planning services and increase awareness about the importance of optimal pregnancy and birth spacing. [ABSTRACT FROM AUTHOR]
Published: 2024
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203. Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Troeger, Christopher, Blacker, Brigette, Khalil, Ibrahim A., Rao, Puja C., Cao, Jackie, Zimsen, Stephanie Rm, Albertson, Samuel B., Deshpande, Aniruddha, Farag, Tamer, Abebe, Zegeye, Adetifa, Ifedayo Morayo O., Adhikari, Tara Ballav, Akibu, Mohammed, Al Lami, Faris Hasan, Al-Eyadhy, Ayman, Alvis-Guzman, Nelson, Amare, Azmeraw T., Amoako, Yaw Ampem, Antonio, Carl Abelardo T., Aremu, Olatunde, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Atey, Tesfay Mehari, Attia, Engi Farouk, Avokpaho, Euripide Frinel G. Arthur, Ayele, Henok Tadesse, Ayuk, Tambe Betrand, Balakrishnan, Kalpana, Barac, Aleksandra, Bassat, Quique, Behzadifar, Masoud, Behzadifar, Meysam, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Bijani, Ali, Brauer, Michael, Brown, Alexandria, Camargos, Paulo Am, Castañeda-Orjuela, Carlos A., Colombara, Danny, Conti, Sara, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Do, Huyen Phuc, Dubljanin, Eleonora, Edessa, Dumessa, Elkout, Hajer, Endries, Aman Yesuf, Fijabi, Daniel Obadare, Foreman, Kyle J., Forouzanfar, Mohammad H., Fullman, Nancy, Garcia-Basteiro, Alberto L., Gessner, Bradford D., Gething, Peter W., Gupta, Rahul, Gupta, Tarun, Hailu, Gessessew Bugssa, Hassen, Hamid Yimam, Hedayati, Mohammad T., Heidari, Mohsen, Hibstu, Desalegn Tsegaw, Horita, Nobuyuki, Ilesanmi, Olayinka S., Jakovljevic, Mihajlo B., Jamal, Amr A., Amaha Kahsay, Kasaeian, Amir, Kassa, Dessalegn Haile, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Md Nuruzzaman, Khang, Young-Ho, Kim, Yun Jin, Kissoon, Niranjan, Knibbs, Luke D., Kochhar, Sonali, Koul, Parvaiz A., Kumar, G. Anil, Lodha, Rakesh, Magdy Abd El Razek, Hassan, Malta, Deborah Carvalho, Mathew, Joseph L., Mengistu, Desalegn Tadese, Mezgebe, Haftay Berhane, Mohammad, Karzan Abdulmuhsin, Mohammed, Mohammed A., Momeniha, Fatemeh, Murthy, Srinivas, Nguyen, Cuong Tat, Nielsen, Katie R., Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Oren, Eyal, Ortiz, Justin R., Pa, Mahesh, Postma, Maarten J., Qorbani, Mostafa, Quansah, Reginald, Rai, Rajesh Kumar, Rana, Saleem M., Ranabhat, Chhabi Lal, Ray, Sarah E., Rezai, Mohammad Sadegh, Ruhago, George Mugambage, Safiri, Saeid, Salomon, Joshua A., Sartorius, Benn, Savic, Miloje, Sawhney, Monika, She, Jun, Sheikh, Aziz, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Singh, Jasvinder A., Somayaji, Ranjani, Stanaway, Jeffrey D., Sufiyan, Muawiyyah Babale, Taffere, Getachew Redae, Temsah, Mohamad-Hani, Thompson, Matthew J., Tobe-Gai, Ruoyan, Topor-Madry, Roman, Tran, Bach Xuan, Tran, Tung Thanh, Tuem, Kald Beshir, Ukwaja, Kingsley Nnanna, Vollset, Stein Emil, Walson, Judd L., Weldegebreal, Fitsum, Werdecker, Andrea, West, T. Eoin, Yonemoto, Naohiro, Zaki, Maysaa El Sayed, Zhou, Lei, Zodpey, Sanjay, Vos, Theo, Naghavi, Mohsen, Lim, Stephen S., Mokdad, Ali H., Murray, Christopher Jl, Hay, Simon I., Reiner, Robert C., Troeger, C, Blacker, B, Khalil, I, Rao, P, Cao, J, Zimsen, S, Albertson, S, Deshpande, A, Farag, T, Abebe, Z, Adetifa, I, Adhikari, T, Akibu, M, Al Lami, F, Al-Eyadhy, A, Alvis-Guzman, N, Amare, A, Amoako, Y, Antonio, C, Aremu, O, Asfaw, E, Asgedom, S, Atey, T, Attia, E, Avokpaho, E, Ayele, H, Ayuk, T, Balakrishnan, K, Barac, A, Bassat, Q, Behzadifar, M, Bhaumik, S, Bhutta, Z, Bijani, A, Brauer, M, Brown, A, Camargos, P, Castañeda-Orjuela, C, Colombara, D, Conti, S, Dadi, A, Dandona, L, Dandona, R, Do, H, Dubljanin, E, Edessa, D, Elkout, H, Endries, A, Fijabi, D, Foreman, K, Forouzanfar, M, Fullman, N, Garcia-Basteiro, A, Gessner, B, Gething, P, Gupta, R, Gupta, T, Hailu, G, Hassen, H, Hedayati, M, Heidari, M, Hibstu, D, Horita, N, Ilesanmi, O, Jakovljevic, M, Jamal, A, Kahsay, A, Kasaeian, A, Kassa, D, Khader, Y, Khan, E, Khan, M, Khang, Y, Kim, Y, Kissoon, N, Knibbs, L, Kochhar, S, Koul, P, Kumar, G, Lodha, R, Magdy Abd El Razek, H, Malta, D, Mathew, J, Mengistu, D, Mezgebe, H, Mohammad, K, Mohammed, M, Momeniha, F, Murthy, S, Nguyen, C, Nielsen, K, Ningrum, D, Nirayo, Y, Oren, E, Ortiz, J, Pa, M, Postma, M, Qorbani, M, Quansah, R, Rai, R, Rana, S, Ranabhat, C, Ray, S, Rezai, M, Ruhago, G, Safiri, S, Salomon, J, Sartorius, B, Savic, M, Sawhney, M, She, J, Sheikh, A, Shiferaw, M, Shigematsu, M, Singh, J, Somayaji, R, Stanaway, J, Sufiyan, M, Taffere, G, Temsah, M, Thompson, M, Tobe-Gai, R, Topor-Madry, R, Tran, B, Tran, T, Tuem, K, Ukwaja, K, Vollset, S, Walson, J, Weldegebreal, F, Werdecker, A, West, T, Yonemoto, N, Zaki, M, Zhou, L, Zodpey, S, Vos, T, Naghavi, M, Lim, S, Mokdad, A, Murray, C, Hay, S, Reiner, R, and Public Health
Subjects: Adult, Male, Adolescent, Biostatistics, Global Health, Global Buren of Disease, Lower Respiratory Infections, Article, Global Burden of Disease, Young Adult, Cost of Illness, Risk Factors, Prevalence, Humans, Child, Respiratory Tract Infections, Aged, Aged, 80 and over, Incidence, Infant, Newborn, Infant, Bacterial Infections, Middle Aged, Survival Analysis, Virus Diseases, Child, Preschool, Female, Topography, Medical, Morbidity, Epidemiologic Methods
Abstract: [Background] Lower respiratory infections are a leading cause of morbidity and mortality around the world. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016, provides an up-to-date analysis of the burden of lower respiratory infections in 195 countries. This study assesses cases, deaths, and aetiologies spanning the past 26 years and shows how the burden of lower respiratory infection has changed in people of all ages. [Methods] We used three separate modelling strategies for lower respiratory infections in GBD 2016: a Bayesian hierarchical ensemble modelling platform (Cause of Death Ensemble model), which uses vital registration, verbal autopsy data, and surveillance system data to predict mortality due to lower respiratory infections; a compartmental meta-regression tool (DisMod-MR), which uses scientific literature, population representative surveys, and health-care data to predict incidence, prevalence, and mortality; and modelling of counterfactual estimates of the population attributable fraction of lower respiratory infection episodes due to Streptococcus pneumoniae, Haemophilus influenzae type b, influenza, and respiratory syncytial virus. We calculated each modelled estimate for each age, sex, year, and location. We modelled the exposure level in a population for a given risk factor using DisMod-MR and a spatio-temporal Gaussian process regression, and assessed the effectiveness of targeted interventions for each risk factor in children younger than 5 years. We also did a decomposition analysis of the change in LRI deaths from 2000–16 using the risk factors associated with LRI in GBD 2016. [Findings] In 2016, lower respiratory infections caused 652 572 deaths (95% uncertainty interval [UI] 586 475–720 612) in children younger than 5 years (under-5s), 1 080 958 deaths (943 749–1 170 638) in adults older than 70 years, and 2 377 697 deaths (2 145 584–2 512 809) in people of all ages, worldwide. Streptococcus pneumoniae was the leading cause of lower respiratory infection morbidity and mortality globally, contributing to more deaths than all other aetiologies combined in 2016 (1 189 937 deaths, 95% UI 690 445–1 770 660). Childhood wasting remains the leading risk factor for lower respiratory infection mortality among children younger than 5 years, responsible for 61·4% of lower respiratory infection deaths in 2016 (95% UI 45·7–69·6). Interventions to improve wasting, household air pollution, ambient particulate matter pollution, and expanded antibiotic use could avert one under-5 death due to lower respiratory infection for every 4000 children treated in the countries with the highest lower respiratory infection burden. [Interpretation] Our findings show substantial progress in the reduction of lower respiratory infection burden, but this progress has not been equal across locations, has been driven by decreases in several primary risk factors, and might require more effort among elderly adults. By highlighting regions and populations with the highest burden, and the risk factors that could have the greatest effect, funders, policy makers, and programme implementers can more effectively reduce lower respiratory infections among the world's most susceptible populations. [Findings] Bill & Melinda Gates Foundation.

204. Association between household air pollution and child mortality in Myanmar using a multilevel mixed-effects Poisson regression with robust variance.

Author: Rana, Juwel, Islam, Rakibul M., Khan, Md Nuruzzaman, Aliani, Razia, and Oulhote, Youssef
Subjects: *AIR pollution, *CHILD mortality, *NEONATAL mortality, *POISSON regression
Abstract: Household air pollution (HAP) from solid fuel use (SFU) for cooking is a major public health threat for women and children in low and middle-income countries. This study investigated the associations between HAP and neonatal, infant, and under-five child mortality in Myanmar. The study consisted of 3249 sample of under-five children in the households from the first Myanmar Demographic and Health Survey 2016. Fuel types and levels of exposure to SFU (no, moderate and high) were proxies for HAP. We estimated covariate-adjusted relative risks (aRR) of neonatal, infant, and under-five child mortality with 95% confidence intervals, accounting for the survey design. The prevalence of SFU was 79.0%. The neonatal, infant, and under-five child mortality rates were 26, 45, and 49 per 1000 live births, respectively. The risks of infant (aRR 2.02; 95% CI 1.01–4.05; p-value = 0.048) and under-five mortality (aRR 2.16; 95% CI 1.07–4.36; p-value = 0.031), but not neonatal mortality, were higher among children from households with SFU compared to children from households using clean fuel. Likewise, children highly exposed to HAP had higher risks of mortality than unexposed children. HAP increases the risks of infant and under-five child mortality in Myanmar, which could be reduced by increasing access to clean cookstoves and fuels. [ABSTRACT FROM AUTHOR]
Published: 2021
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205. Exploration of modern contraceptive methods using patterns among later reproductive-aged women in Bangladesh.

Author: Rana, Md. Shohel, Khanam, Shimlin Jahan, Alam, Md. Badsha, Hassen, Md. Tahir, Kabir, Md. Iqbal, and Khan, Md. Nuruzzaman
Subjects: *CHILDBEARING age, *OLDER women, *CONTRACEPTION, *MEDIA exposure, *BIRTH intervals, *UNPLANNED pregnancy, *DEMOGRAPHIC surveys
Abstract: Background: With the rapid increase in the number of women in their later reproductive years (aged 35 and above) in the present decade, the concern surrounding their contraceptive considerations has reached a critical point of importance. This study aims to examine the trends and determinants of modern contraceptive uptake among later reproductive-aged women in Bangladesh. Methods: A total of 17,736 women aged 35 and above were included in the analysis, utilizing data from three consecutives Bangladesh Demographic and Health Surveys conducted in 2011, 2014, and 2017–18. The outcome variable was the uptake of modern contraceptive methods (yes or no). The explanatory variables encompassed survey years, individual characteristics of the women, as well as characteristics of their partners and the community. Multilevel logistic regression model was used to explore the association of the outcome variable with explanatory variables. Results: We found that approximately 54% of women aged 35 and more do not use modern contraceptive methods, and there have been no significant shifts in their usage observed over the survey years. Compared to women aged 35–39, women aged 40–45 (aOR = 0.53, 95% CI: 0.49–0.57) and 45–49 (aOR = 0.24, 0.22–0.26) reported lower likelihoods of modern contraceptive method uptake. Higher education correlated with increased uptake of modern contraceptive methods (112%-142%), while partner's education showed a negative association. Later reproductive-aged women in richer (aOR = 0.83, 95% CI: 0.74–0.94) and richest (aOR = 0.76, 95% CI: 0.66–0.88) quintiles reported lower uptake of modern contraceptive methods compared to their counterparts in the poorest quintile. Later reproductive-aged women in Dhaka (aOR = 1.22, 95% CI: 1.07–1.38) and Rajshahi (aOR = 1.37, 95% CI: 1.19–1.59) regions had higher uptake of modern contraception than those residing in the Barishal division. Modern contraceptive methods uptake was 1.22 times higher among women who reported exposure to mass media and 1.19 times higher among women who reported engagement in paid work compared to among women who reported no exposure to mass media and participation in no formal work, respectively. Modern contraceptive methods uptake was 43% higher (aOR = 1.43, 95% CI: 1.32–1.55) in women with more than 2 children compared to those with ≤2 children. Conclusion: The study highlights no significant change in modern contraception uptake among later reproductive-aged women in Bangladesh. This raises concerns about the elevated risk of unintended pregnancies and shorter birth intervals, emphasizing the need for targeted interventions to address the specific needs and preferences of this demographic. [ABSTRACT FROM AUTHOR]
Published: 2024
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206. Prevalence and patterns of comorbidities in people with disabilities and their associated socio-demographic factors.

Author: Rana, Md Shohel, Alam, Md Badsha, Khanam, Shimlin Jahan, Kabir, Md Iqbal, Khandaker, Gulam, and Khan, Md Nuruzzaman
Subjects: *SOCIODEMOGRAPHIC factors, *PEOPLE with disabilities, *ASSISTIVE technology, *LOGISTIC regression analysis, *CHRONIC diseases, *HOUSEHOLD surveys, *COMORBIDITY
Abstract: The presence of comorbidities among individuals with disabilities worsens their already complex health and social circumstances. This study aims to explore prevalence and patterns of morbidities among persons with disabilities in Bangladesh and identify associated socio-demographic factors. Data from 4270 persons with disability was analysed extracted from the 2021 Bangladesh National Household Survey on Persons with Disability. Outcome variable considered was the occurrence of morbidity among persons with disabilities. Explanatory variables encompassed factors at the individual, household, and community levels. Adjusted and unadjusted multilevel mixed-effects logistic regression model was used to explore association of outcome variable with explanatory variables. We found that approximately half of individuals with disabilities experienced one or more morbidities, with chronic conditions being the most prevalent (44%). Around 42% of total persons with disability were unable to work. Specifically, hypertension (18.3%), diabetes (9.1%), and heart problems (17.1%) were prevalent chronic conditions. The likelihood of experiencing comorbidity was found to be higher among females (aOR 1.3, 95% CI 1.1, 1.7), increase year of education (aOR, 1.1, 95% CI 1.0–1.2), and those from wealthier households (aOR 1.6, 95% CI 1.2, 2.2). This underscores the need for targeted policies and interventions addressing their distinct healthcare needs. [ABSTRACT FROM AUTHOR]
Published: 2024
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207. Spatial pattern and influential factors for early marriage: evidence from Bangladesh Demographic Health Survey 2017-18 data.

Author: Billah, Md Arif, Khan, Md. Mostaured Ali, Hanifi, Syed Manzoor Ahmed, Islam, M. Mofizul, and Khan, Md. Nuruzzaman
Subjects: *CHILD marriage, *DEMOGRAPHIC surveys, *POOR communities, *HEALTH surveys, *POISSON regression
Abstract: Background: Early marriage is highly prevalent in Bangladesh. It is linked with a range of adverse outcomes, including maternal and child mortality. However, research on regional variations and factors associated with early marriage is scarce in Bangladesh. This study aimed to explore the geographical variations and predictors of early marriage in Bangladesh. Methods: Data of women aged 20–24 in the Bangladesh Demographic and Health Survey 2017–18 were analysed. The occurrence of early marriage was the outcome variable. Explanatory variables were several individual-, household- and community-level factors. Geographical hot spots and cold spots of early marriage were first determined using Global Moran's I statistic. Multilevel mixed-effect Poisson regression was used to determine the association of early marriage with individual-, household-, and community-level factors. Results: Almost 59% of women aged 20–24 reported they were married before reached 18. The hotspots of early marriage were mainly concentrated in Rajshahi, Rangpur and Barishal, and the cold spots were in Sylhet and Chattogram divisions. The prevalence of early marriage was lower among higher educated (adjusted prevalence ratio (aPR): 0.45; 95% CI: 0.40, 0.52), and non-Muslim women (aPR: 0.89; 95% CI: 0.79, 0.99) than their counterparts. Higher community-level poverty was significantly associated with early marriage (aPR, 1.16; 95% CI: 1.04, 1.29). Conclusion: The study concludes that promoting girls' education, awareness-building programs about the adverse effects of early marriage and proper application of the child marriage restraint act, particularly in disadvantaged communities are recommended. [ABSTRACT FROM AUTHOR]
Published: 2023
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208. Impact of climate change on vector-borne diseases: Exploring hotspots, recent trends and future outlooks in Bangladesh.

Author: Jibon, Md. Jannatul Naeem, Ruku, S.M. Ridwana Prodhan, Islam, Abu Reza Md Towfiqul, Khan, Md. Nuruzzaman, Mallick, Javed, Bari, A.B.M. Mainul, and Senapathi, Venkatramanan
Subjects: *OCEAN temperature, *SOUTHERN oscillation, *ATMOSPHERIC models, *VECTOR-borne diseases, *ARBOVIRUS diseases, EL Nino
Abstract: • Climate change and dengue nexus have increased in recent time. • Dhaka and Chittagong Hill Tracts are dengue and malaria research hotspots. • A weak connection was observed between dengue incidents, ENSO, and IOD. • No association between malaria cases and SST was identified in this paper. Climate change is a significant risk multiplier and profoundly influences the transmission dynamics, geographical distribution, and resurgence of vector-borne diseases (VBDs). Bangladesh has a noticeable rise in VBDs attributed to climate change. Despite the severity of this issue, the interconnections between climate change and VBDs in Bangladesh have yet to be thoroughly explored. To address this research gap, our review meticulously examined existing literature on the relationship between climate change and VBDs in Bangladesh. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, we identified 3849 records from SCOPUS, Web of Science, and Google Scholar databases. Ultimately, 22 research articles meeting specific criteria were included. We identified that the literature on the subject matter of this study is non-contemporaneous, with 68% of studies investing datasets before 2014, despite studies on climate change and dengue nexus having increased recently. We pinpointed Dhaka and Chittagong Hill Tracts as the dengue and malaria research hotspots, respectively. We highlighted that the 2023 dengue outbreak illustrates a possible shift in dengue-endemic areas in Bangladesh. Moreover, dengue cases surged by 317% in 2023 compared to 2019 records, with a corresponding 607% increase in mortality compared to 2022. A weak connection was observed between dengue incidents and climate drivers, including the El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). However, no compelling evidence supported an association between malaria cases, and Sea Surface Temperature (SST) in the Bay of Bengal, along with the NINO3 phenomenon. We observed minimal microclimatic and non-climatic data inclusion in selected studies. Our review holds implications for policymakers, urging the prioritization of mitigation measures such as year-round surveillance and early warning systems. Ultimately, it calls for resource allocation to empower researchers in advancing the understanding of VBD dynamics amidst changing climates. [ABSTRACT FROM AUTHOR]
Published: 2024
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209. Exploring hot spots of short birth intervals and associated factors using a nationally representative survey in Bangladesh.

Author: Islam, Mohammad Zahidul, Islam, M. Mofizul, Rahman, Md. Mostafizur, and Khan, Md. Nuruzzaman
Subjects: *BIRTH intervals, *MEDICAL care, *REPRODUCTIVE health services, *HEALTH facilities, *CHILD death
Abstract: Short Birth Interval (SBI, defined as < 33 months interval between the two most recent births or < 24 months between one live birth to the next pregnancy) is a public health problem in most low- and lower-middle-income countries. Understanding geographic variations in SBI, particularly SBI hot spots and associated factors, may help intervene with tailored programs. This study identified the geographical hot spots of SBI in Bangladesh and the factors associated with them. We analyzed women's data extracted from the 2017/18 Bangladesh Demographic and Health Survey and the healthcare facility data extracted from the 2017 Service Provision Assessment. SBI was the outcome variable, and it was defined as an interval between consecutive births of 33 months or less, as recommended by the World Health Organization. The characteristics of mothers and their partners were the explanatory variables. Moran's I was used to examine the spatial variation of SBI in Bangladesh whereas the Getis-Ord G i ∗ (d) was used to determine the hot spots of SBI. The Geographical Weighted Regression (GWR) was used to assess the predictors of SBI at the enumeration areas' level. The variables included in the GWR were selected using the exploratory regression and ordinary least square regression model. Data of 5941 women were included in the analyses. Around 26% of the total births in Bangladesh had occurred in short intervals. A majority of the SBI hot spots were found in the Sylhet division, and almost all SBI cold spots were in the Rajshahi and Khulna divisions. No engagement with formal income-generating activities, high maternal parity, and history of experiencing the death of a child were significantly associated with SBI in the Sylhet division. Women's age of 34 years or less at the first birth was a protective factor of SBI in the Rajshahi and Khulna divisions. The prevalence of SBI in Bangladesh is highly clustered in the Sylhet division. We recommend introducing tailored reproductive health care services in the hot spots instead of the existing uniform approach across the country. [ABSTRACT FROM AUTHOR]
Published: 2022
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210. Prevalence of undiagnosed diabetes and the relative importance of its risk factors among adults in Bangladesh: Findings from a nationwide survey.

Author: Islam, Rakibul M., Magliano, Dianna J., Khan, Md. Nuruzzaman, Hossain, Mohammad Bellal, Rana, Juwel, and Oldroyd, John C.
Subjects: *DIABETES, *BLOOD sugar measurement, *POISSON regression, *BODY mass index, *DEMOGRAPHIC surveys
Abstract: Aim: To estimate the prevalence of undiagnosed diabetes, and to identify the relative importance of risk factors for undiagnosed diabetes among Bangladeshi adults.Method: Data from 11, 421 Bangladeshi adults aged 18 years and older available from the most recent nationally representative Bangladesh Demographic and Health Survey 2017-18 were used. Anthropometric measurements and fasting blood glucose samples were taken as part of the survey. Prevalence estimates of undiagnosed diabetes was age-standardised with direct standarisation, and risk factors were identified using multilevel mix-effects Poisson regression models with robust variance.Results: The overall age-standardised prevalence of undiagnosed diabetes was 6.0% (95 %CI, 5.5-6.4%) (men: 6.1%, women: 5.9%). Risk factors associated with undiagnosed diabetes were older age, elevated body mass index (BMI), highest wealth quintile, hypertension, and being male. The top two modifiable risk factors contributing over 50% to undiagnosed diabetes were BMI and wealth quintiles.Conclusion: Undiagnosed diabetes affects a substantial proportion of Bangladeshi adults. Since elevated BMI and the highest wealth quintile are strong risk factors, these offer an opportunity for early detection and screening to reduce undiagnosed diabetes in Bangladesh. In addition, wide-reaching awareness campaigns among the general public, clinicians, and policymakers are needed. [ABSTRACT FROM AUTHOR]
Published: 2022
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211. Global mortality associated with 33 bacterial pathogens in 2019

Author: Kevin S Ikuta, Lucien R Swetschinski, Gisela Robles Aguilar, Fablina Sharara, Tomislav Mestrovic, Authia P Gray, Nicole Davis Weaver, Eve E Wool, Chieh Han, Anna Gershberg Hayoon, Amirali Aali, Semagn Mekonnen Abate, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Sherief Abd-Elsalam, Getachew Abebe, Aidin Abedi, Amir Parsa Abhari, Hassan Abidi, Richard Gyan Aboagye, Abdorrahim Absalan, Hiwa Abubaker Ali, Juan Manuel Acuna, Tigist Demssew Adane, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Zahra Babaei Aghdam, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Ali Ahmed, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Marjan Ajami, Budi Aji, Mostafa Akbarzadeh-Khiavi, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Fares Alahdab, Ziyad Al-Aly, Mamoon A Aldeyab, Alicia V Aleman, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Atiyeh Alizadeh, Syed Mohamed Aljunid, Kasim Allel, Sami Almustanyir, Edward Kwabena Ameyaw, Arianna Maever L Amit, Nivedita Anandavelane, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Dewi Anggraini, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Aleksandr Y Aravkin, Demelash Areda, Timur Aripov, Anton A Artamonov, Judie Arulappan, Raphael Taiwo Aruleba, Muhammad Asaduzzaman, Tahira Ashraf, Seyyed Shamsadin Athari, Daniel Atlaw, Sameh Attia, Marcel Ausloos, Tewachew Awoke, Beatriz Paulina Ayala Quintanilla, Tegegn Mulatu Ayana, Sina Azadnajafabad, Amirhossein Azari Jafari, Darshan B B, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Sara Bagherieh, Atif Amin Baig, Indrajit Banerjee, Aleksandra Barac, Mainak Bardhan, Francesco Barone-Adesi, Hiba Jawdat Barqawi, Amadou Barrow, Pritish Baskaran, Saurav Basu, Abdul-Monim Mohammad Batiha, Neeraj Bedi, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Rose G Bender, Bharti Bhandari, Dinesh Bhandari, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Suraj Bhattarai, Saeid Bitaraf, Danilo Buonsenso, Zahid A Butt, Florentino Luciano Caetano dos Santos, Jiao Cai, Daniela Calina, Paulo Camargos, Luis Alberto Cámera, Rosario Cárdenas, Muge Cevik, Joshua Chadwick, Jaykaran Charan, Akhilanand Chaurasia, Patrick R Ching, Sonali Gajanan Choudhari, Enayet Karim Chowdhury, Fazle Rabbi Chowdhury, Dinh-Toi Chu, Isaac Sunday Chukwu, Omid Dadras, Fentaw Teshome Dagnaw, Xiaochen Dai, Saswati Das, Anna Dastiridou, Sisay Abebe Debela, Fitsum Wolde Demisse, Solomon Demissie, Diriba Dereje, Msganaw Derese, Hardik Dineshbhai Desai, Fikadu Nugusu Dessalegn, Samuel Abebe A Dessalegni, Belay Desye, Kartik Dhaduk, Meghnath Dhimal, Sameer Dhingra, Nancy Diao, Daniel Diaz, Shirin Djalalinia, Milad Dodangeh, Deepa Dongarwar, Bezabih Terefe Dora, Fariba Dorostkar, Haneil Larson Dsouza, Eleonora Dubljanin, Susanna J Dunachie, Oyewole Christopher Durojaiye, Hisham Atan Edinur, Habtamu Bekele Ejigu, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Hassan El-Abid, Muhammed Elhadi, Mohamed A Elmonem, Amir Emami, Luchuo Engelbert Bain, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Babak Eshrati, Farshid Etaee, Adeniyi Francis Fagbamigbe, Shahab Falahi, Aida Fallahzadeh, Emerito Jose A Faraon, Ali Fatehizadeh, Ginenus Fekadu, João C Fernandes, Allegra Ferrari, Getahun Fetensa, Irina Filip, Florian Fischer, Masoud Foroutan, Peter Andras Gaal, Muktar A Gadanya, Abhay Motiramji Gaidhane, Balasankar Ganesan, Mesfin Gebrehiwot, Reza Ghanbari, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Ali Gholamrezanezhad, Abdolmajid Gholizadeh, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Amador Goodridge, Damitha Asanga Gunawardane, Yuming Guo, Rajat Das Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Alemu Guta, Parham Habibzadeh, Atlas Haddadi Avval, Rabih Halwani, Asif Hanif, Md. Abdul Hannan, Harapan Harapan, Shoaib Hassan, Hadi Hassankhani, Khezar Hayat, Behzad Heibati, Golnaz Heidari, Mohammad Heidari, Reza Heidari-Soureshjani, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Praveen Hoogar, Nobuyuki Horita, Md Mahbub Hossain, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Soodabeh Hoveidamanesh, Junjie Huang, Salman Hussain, Nawfal R Hussein, Segun Emmanuel Ibitoye, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mohammad Tarique Imam, Mustapha Immurana, Leeberk Raja Inbaraj, Arnaud Iradukunda, Nahlah Elkudssiah Ismail, Chidozie C D Iwu, Chinwe Juliana Iwu, Linda Merin J, Mihajlo Jakovljevic, Elham Jamshidi, Tahereh Javaheri, Fatemeh Javanmardi, Javad Javidnia, Sathish Kumar Jayapal, Umesh Jayarajah, Rime Jebai, Ravi Prakash Jha, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Laleh R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Himal Kandel, Neeti Kapoor, Samad Karkhah, Bekalu Getnet Kassa, Nicholas J Kassebaum, Patrick DMC Katoto, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Imteyaz A Khan, Maseer Khan, Md Nuruzzaman Khan, Moien AB Khan, Moawiah Mohammad Khatatbeh, Mona M Khater, Hamid Reza Khayat Kashani, Jagdish Khubchandani, Hanna Kim, Min Seo Kim, Ruth W Kimokoti, Niranjan Kissoon, Sonali Kochhar, Farzad Kompani, Soewarta Kosen, Parvaiz A Koul, Sindhura Lakshmi Koulmane Laxminarayana, Fiorella Krapp Lopez, Kewal Krishan, Vijay Krishnamoorthy, Vishnutheertha Kulkarni, Naveen Kumar, Om P Kurmi, Ambily Kuttikkattu, Hmwe Hmwe Kyu, Dharmesh Kumar Lal, Judit Lám, Iván Landires, Savita Lasrado, Sang-woong Lee, Jacopo Lenzi, Sonia Lewycka, Shanshan Li, Stephen S Lim, Wei Liu, Rakesh Lodha, Michael J Loftus, Ayush Lohiya, László Lorenzovici, Mojgan Lotfi, Ata Mahmoodpoor, Mansour Adam Mahmoud, Razzagh Mahmoudi, Azeem Majeed, Jamal Majidpoor, Alaa Makki, Galana Ayana Mamo, Yosef Manla, Miquel Martorell, Clara N Matei, Barney McManigal, Entezar Mehrabi Nasab, Ravi Mehrotra, Addisu Melese, Oliver Mendoza-Cano, Ritesh G Menezes, Alexios-Fotios A Mentis, Georgia Micha, Irmina Maria Michalek, Ana Carolina Micheletti Gomide Nogueira de Sá, Neda Milevska Kostova, Shabir Ahmad Mir, Mojgan Mirghafourvand, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Mohammad Mirza-Aghazadeh-Attari, Abay Sisay Misganaw, Awoke Misganaw, Sanjeev Misra, Esmaeil Mohammadi, Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Ali H Mokdad, Sara Momtazmanesh, Lorenzo Monasta, Catrin E Moore, Maryam Moradi, Mostafa Moradi Sarabi, Shane Douglas Morrison, Majid Motaghinejad, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Seyed Ali Mousavi-Aghdas, Sumaira Mubarik, Francesk Mulita, Getaneh Baye B Mulu, Sandra B Munro, Saravanan Muthupandian, Tapas Sadasivan Nair, Atta Abbas Naqvi, Himanshi Narang, Zuhair S Natto, Muhammad Naveed, Biswa Prakash Nayak, Shumaila Naz, Ionut Negoi, Seyed Aria Nejadghaderi, Sandhya Neupane Kandel, Che Henry Ngwa, Robina Khan Niazi, Antonio Tolentino Nogueira de Sá, Nafise Noroozi, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Jerry John Nutor, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Rahman Md Obaidur, Vivek Anand Ojha, Akinkunmi Paul Okekunle, Osaretin Christabel Okonji, Andrew T Olagunju, Bolajoko Olubukunola Olusanya, Ahmed Omar Bali, Emad Omer, Nikita Otstavnov, Bilcha Oumer, Mahesh P A, Jagadish Rao Padubidri, Keyvan Pakshir, Tamás Palicz, Adrian Pana, Shahina Pardhan, Jose L Paredes, Utsav Parekh, Eun-Cheol Park, Seoyeon Park, Ashish Pathak, Rajan Paudel, Uttam Paudel, Shrikant Pawar, Hamidreza Pazoki Toroudi, Minjin Peng, Umberto Pensato, Veincent Christian Filipino Pepito, Marcos Pereira, Mario F P Peres, Norberto Perico, Ionela-Roxana Petcu, Zahra Zahid Piracha, Indrashis Podder, Nayanum Pokhrel, Ramesh Poluru, Maarten J Postma, Naeimeh Pourtaheri, Akila Prashant, Ibrahim Qattea, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Saber Raeghi, Sima Rafiei, Pankaja Raghav Raghav, Leila Rahbarnia, Vafa Rahimi-Movaghar, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Pradhum Ram, Muhammad Modassar Ali Nawaz Ranjha, Sowmya J Rao, Mohammad-Mahdi Rashidi, Azad Rasul, Zubair Ahmed Ratan, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Elrashdy Moustafa Mohamed Redwan, Misganu Teshoma Regasa, Giuseppe Remuzzi, Melese Abate Reta, Nazila Rezaei, Aziz Rezapour, Abanoub Riad, Rezaul Karim Ripon, Kristina E Rudd, Basema Saddik, Saeid Sadeghian, Umar Saeed, Mohsen Safaei, Azam Safary, Sher Zaman Safi, Maryam Sahebazzamani, Amirhossein Sahebkar, Harihar Sahoo, Saina Salahi, Sarvenaz Salahi, Hedayat Salari, Sana Salehi, Hossein Samadi Kafil, Abdallah M Samy, Nima Sanadgol, Senthilkumar Sankararaman, Francesco Sanmarchi, Brijesh Sathian, Monika Sawhney, Ganesh Kumar Saya, Subramanian Senthilkumaran, Allen Seylani, Pritik A Shah, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mequannent Melaku Sharew, Athena Sharifi-Razavi, Purva Sharma, Rahim Ali Sheikhi, Ali Sheikhy, Pavanchand H Shetty, Mika Shigematsu, Jae Il Shin, Hesamaddin Shirzad-Aski, K M Shivakumar, Parnian Shobeiri, Seyed Afshin Shorofi, Sunil Shrestha, Migbar Mekonnen Sibhat, Negussie Boti Sidemo, Mustafa Kamal Sikder, Luís Manuel Lopes Rodrigues Silva, Jasvinder A Singh, Paramdeep Singh, Surjit Singh, Md Shahjahan Siraj, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Damtew Damtew Solomon, Yimeng Song, Chandrashekhar T Sreeramareddy, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Saima Sultana, Miklós Szócska, Seyed-Amir Tabatabaeizadeh, Mohammad Tabish, Majid Taheri, Elahe Taki, Ker-Kan Tan, Sarmila Tandukar, Nathan Y Tat, Vivian Y Tat, Belay Negash Tefera, Yibekal Manaye Tefera, Gebremaryam Temesgen, Mohamad-Hani Temsah, Samar Tharwat, Arulmani Thiyagarajan, Imad I Tleyjeh, Christopher E Troeger, Krishna Kishore Umapathi, Era Upadhyay, Sahel Valadan Tahbaz, Pascual R Valdez, Jef Van den Eynde, H. Rogier van Doorn, Siavash Vaziri, Georgios-Ioannis Verras, Harimadhav Viswanathan, Bay Vo, Abdul Waris, Gizachew Tadesse Wassie, Nuwan Darshana Wickramasinghe, Sajad Yaghoubi, Gahin Abdulraheem Tayib Yahya Yahya, Seyed Hossein Yahyazadeh Jabbari, Arzu Yigit, Vahit Yiğit, Dong Keon Yon, Naohiro Yonemoto, Mazyar Zahir, Burhan Abdullah Zaman, Sojib Bin Zaman, Moein Zangiabadian, Iman Zare, Mikhail Sergeevich Zastrozhin, Zhi-Jiang Zhang, Peng Zheng, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Simon I Hay, Christiane Dolecek, Benn Sartorius, Christopher J L Murray, Mohsen Naghavi, Ikuta, Kevin S, Swetschinski, Lucien R, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Davis Weaver, Nicole, Wool, Eve E, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fare, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azari Jafari, Amirhossein, B, Darshan B, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Baskaran, Pritish, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Bedi, Neeraj, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bender, Rose G, Bhandari, Bharti, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhattarai, Suraj, Bitaraf, Saeid, Buonsenso, Danilo, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Jiao, Calina, Daniela, Camargos, Paulo, Cámera, Luis Alberto, Cárdenas, Rosario, Cevik, Muge, Chadwick, Joshua, Charan, Jaykaran, Chaurasia, Akhilanand, Ching, Patrick R, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Das, Saswati, Dastiridou, Anna, Debela, Sisay Abebe, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Derese, Msganaw, Desai, Hardik Dineshbhai, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Desye, Belay, Dhaduk, Kartik, Dhimal, Meghnath, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Dora, Bezabih Terefe, Dorostkar, Fariba, Dsouza, Haneil Larson, Dubljanin, Eleonora, Dunachie, Susanna J, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ejigu, Habtamu Bekele, Ekholuenetale, Michael, Ekundayo, Temitope Cyru, El-Abid, Hassan, Elhadi, Muhammed, Elmonem, Mohamed A, Emami, Amir, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshrati, Babak, Etaee, Farshid, Fagbamigbe, Adeniyi Franci, Falahi, Shahab, Fallahzadeh, Aida, Faraon, Emerito Jose A, Fatehizadeh, Ali, Fekadu, Ginenu, Fernandes, João C, Ferrari, Allegra, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andra, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Ganesan, Balasankar, Gebrehiwot, Mesfin, Ghanbari, Reza, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Goodridge, Amador, Gunawardane, Damitha Asanga, Guo, Yuming, Gupta, Rajat Da, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atla, Halwani, Rabih, Hanif, Asif, Hannan, Md. Abdul, Harapan, Harapan, Hassan, Shoaib, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Iwu, Chinwe Juliana, J, Linda Merin, Jakovljevic, Mihajlo, Jamshidi, Elham, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jebai, Rime, Jha, Ravi Prakash, Joo, Tama, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kapoor, Neeti, Karkhah, Samad, Kassa, Bekalu Getnet, Kassebaum, Nicholas J, Katoto, Patrick DMC, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abba, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khatatbeh, Moawiah Mohammad, Khater, Mona M, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Hanna, Kim, Min Seo, Kimokoti, Ruth W, Kissoon, Niranjan, Kochhar, Sonali, Kompani, Farzad, Kosen, Soewarta, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krapp Lopez, Fiorella, Krishan, Kewal, Krishnamoorthy, Vijay, Kulkarni, Vishnutheertha, Kumar, Naveen, Kurmi, Om P, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Lasrado, Savita, Lee, Sang-woong, Lenzi, Jacopo, Lewycka, Sonia, Li, Shanshan, Lim, Stephen S, Liu, Wei, Lodha, Rakesh, Loftus, Michael J, Lohiya, Ayush, Lorenzovici, László, Lotfi, Mojgan, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Mamo, Galana Ayana, Manla, Yosef, Martorell, Miquel, Matei, Clara N, McManigal, Barney, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza-Cano, Oliver, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Micha, Georgia, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Milevska Kostova, Neda, Mir, Shabir Ahmad, Mirghafourvand, Mojgan, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke, Misra, Sanjeev, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moore, Catrin E, Moradi, Maryam, Moradi Sarabi, Mostafa, Morrison, Shane Dougla, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Mulita, Francesk, Mulu, Getaneh Baye B, Munro, Sandra B, Muthupandian, Saravanan, Nair, Tapas Sadasivan, Naqvi, Atta Abba, Narang, Himanshi, Natto, Zuhair S, Naveed, Muhammad, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Ngwa, Che Henry, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Ojha, Vivek Anand, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Nikita, Oumer, Bilcha, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palicz, Tamá, Pana, Adrian, Pardhan, Shahina, Paredes, Jose L, Parekh, Utsav, Park, Eun-Cheol, Park, Seoyeon, Pathak, Ashish, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Pereira, Marco, Peres, Mario F P, Perico, Norberto, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Podder, Indrashi, Pokhrel, Nayanum, Poluru, Ramesh, Postma, Maarten J, Pourtaheri, Naeimeh, Prashant, Akila, Qattea, Ibrahim, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Raeghi, Saber, Rafiei, Sima, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Regasa, Misganu Teshoma, Remuzzi, Giuseppe, Reta, Melese Abate, Rezaei, Nazila, Rezapour, Aziz, Riad, Abanoub, Ripon, Rezaul Karim, Rudd, Kristina E, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salahi, Saina, Salahi, Sarvenaz, Salari, Hedayat, Salehi, Sana, Samadi Kafil, Hossein, Samy, Abdallah M, Sanadgol, Nima, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shah, Pritik A, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Sharew, Mequannent Melaku, Sharifi-Razavi, Athena, Sharma, Purva, Sheikhi, Rahim Ali, Sheikhy, Ali, Shetty, Pavanchand H, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shobeiri, Parnian, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Sidemo, Negussie Boti, Sikder, Mustafa Kamal, Silva, Luís Manuel Lopes Rodrigue, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solomon, Damtew Damtew, Song, Yimeng, Sreeramareddy, Chandrashekhar T, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Szócska, Mikló, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taki, Elahe, Tan, Ker-Kan, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Belay Negash, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tharwat, Samar, Thiyagarajan, Arulmani, Tleyjeh, Imad I, Troeger, Christopher E, Umapathi, Krishna Kishore, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Van den Eynde, Jef, van Doorn, H. Rogier, Vaziri, Siavash, Verras, Georgios-Ioanni, Viswanathan, Harimadhav, Vo, Bay, Waris, Abdul, Wassie, Gizachew Tadesse, Wickramasinghe, Nuwan Darshana, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yahyazadeh Jabbari, Seyed Hossein, Yigit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, Zahir, Mazyar, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zangiabadian, Moein, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, and Naghavi, Mohsen
Subjects: Male, Bacteria, Syndrome, Bacterial Infections, General Medicine, Global Health, Global Burden of Disease, Risk Factors, Sepsis, Humans, Female, Mortality, Child, Africa South of the Sahara
Abstract: Background: Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. Methods: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. Findings: From an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2–18·1) of all global deaths and 56·2% (52·1–60·1) of all sepsis-related deaths in 2019. Five leading pathogens—Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa—were responsible for 54·9% (52·9–56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185–285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4–71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. Interpretation: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.
Published: 2022

212. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author: Lozano, R., Haakenstad, A., Yearwood, J. A., Fullman, N., Bintz, C., Bienhoff, K., Weaver, M. R., Nandakumar, V., Joffe, J. N., LeGrand, K. E., Knight, M., Abbafati, C., Abbasi-Kangevari, M., Abdoli, A., Zuniga, R. A. A., Adedeji, I. A., Adekanmbi, V., Adetokunboh, O. O., Afzal, M. S., Afzal, S., Agudelo-Botero, M., Ahinkorah, B. O., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, A., Rashid, T. A., Aji, B., Akande-Sholabi, W., Alam, K., Al Hamad, H., Alhassan, R. K., Ali, L., Alipour, V., Aljunid, S. M., Ameyaw, E. K., Amin, T. T., Amu, H., Amugsi, D. A., Ancuceanu, R., Andrade, P. P., Anjum, A., Arabloo, J., Arab-Zozani, M., Ariffin, H., Arulappan, J., Aryan, Z., Ashraf, T., Atnafu, D. D., Atreya, A., Ausloos, M., Avila-Burgos, L., Ayano, G., Ayanore, M. A., Azari, S., Badiye, A. D., Baig, A. A., Bairwa, M., Bakkannavar, S. M., Baliga, S., Banik, P. C., Barnighausen, T. W., Barra, F., Barrow, A., Basu, S., Bayati, M., Belete, R., Bell, A. W., Bhagat, D. S., Bhagavathula, A. S., Bhardwaj, P., Bhardwaj, N., Bhaskar, S., Bhattacharyya, K., Bhutta, Z. A., Bibi, S., Bijani, A., Bikbov, B., Biondi, A., Bolarinwa, O. A., Bonny, A., Brenner, H., Buonsenso, D., Burkart, K., Busse, R., Butt, Z. A., Butt, N. S., dos Santos, F. L. C., Cahuana Hurtado, Lucero, Camera, Luis Alberto, Cardenas, R., Carneiro, V. L. A., Catala-Lopez, F., Chandan, J. S., Charan, J., Chavan, P. P., Chen, S. M., Chen, S., Choudhari, S. G., Chowdhury, E. K., Chowdhury, M. A. K., Cirillo, M., Corso, B., Dadras, O., Dahlawi, S. M. A., Dai, X. C., Dandona, L., Dandona, R., Dangel, W. J., Davila-Cervantes, C. A., Davletov, K., Deuba, K., Dhimal, M., Dhimal, M. L., Djalalinia, S., Do, H. P., Doshmangir, L., Duncan, B. B., Effiong, A., Ehsani-Chimeh, E., Elgendy, I. Y., Elhadi, M., El Sayed, I., El Tantawi, M., Erku, D. A., Eskandarieh, S., Fares, J., Farzadfar, F., Ferrero, S., Desideri, L. F., Fischer, F., Foigt, N. A., Foroutan, M., Fukumoto, T., Gaal, P. A., Gaihre, S., Gardner, W. 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Kandel, Himal, Kantar, Rami S, Kapoor, Neeti, Karanikolos, Marina, Katikireddi, Srinivasa Vittal, Kavetskyy, Tara, Kawakami, Norito, Kayode, Gbenga A, Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalilov, Rovshan, Khammarnia, Mohammad, Khan, Md Nuruzzaman, Khan, Moien AB, Khan, Maseer, Khezeli, Mehdi, Kim, Min Seo, Kim, Yun Jin, Kisa, Sezer, Kisa, Adnan, Klymchuk, Vitalii, Koly, Kamrun Nahar, Korzh, Oleksii, Kosen, Soewarta, Koul, Parvaiz A, Kuate Defo, Barthelemy, Kumar, G Anil, Kusuma, Dian, Kyu, Hmwe Hmwe, Larsson, Anders O, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Lee, Chiachi Bonnie, Li, Shanshan, Lucchetti, Giancarlo, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Makki, Alaa, Malekzadeh, Reza, Malik, Ahmad Azam, Malta, Deborah Carvalho, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martinez-Valle, Adolfo, Martins-Melo, Francisco Rogerlândio, Masoumi, Seyedeh Zahra, Mathur, Manu Raj, Maude, Richard Jame, Maulik, Pallab K, Mckee, Martin, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mirrakhimov, Erkin M, Misganaw, Awoke, Misra, Sanjeev, Moazen, Babak, Mohammadi, Mokhtar, Mohammed, Shafiu, Moitra, Modhurima, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Ghobad, Moreira, Rafael Silveira, Mosser, Jonathan F, Mostafavi, Ebrahim, Mouodi, Simin, Nagarajan, Ahamarshan Jayaraman, Nagata, Chie, Naghavi, Mohsen, Nangia, Vinay, Narasimha Swamy, Sreeniva, Narayana, Aparna Ichalangod, Nascimento, Bruno Ramo, Nassereldine, Hasan, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Nepal, Samata, Neupane Kandel, Sandhya, Ngunjiri, Josephine W, Nguyen, Huong Lan Thi, Nguyen, Cuong Tat, Ningrum, Dina Nur Anggraini, Noubiap, Jean Jacque, Oancea, Bogdan, Oghenetega, Onome Bright, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Onwujekwe, Obinna E, Otoiu, Adrian, Padubidri, Jagadish Rao, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pardhan, Shahina, Pasupula, Deepak Kumar, Pathak, Praveen Kumar, Patton, George C, Pawar, Shrikant, Pereira, Jeevan, Pilania, Manju, Piroozi, Bakhtiar, Podder, Vivek, Pokhrel, Khem Narayan, Postma, Maarten J, Prada, Sergio I, Quazi Syed, Zahiruddin, Rabiee, Navid, Radhakrishnan, Raghu Anekal, Rahman, Md Mosfequr, Rahman, Mosiur, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahmani, Amir Masoud, Ranabhat, Chhabi Lal, Rao, Chythra R, Rao, Sowmya J, Rasella, Davide, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Renzaho, Andre M N, Reshmi, Bhageerathy, Resnikoff, Serge, Rezapour, Aziz, Riahi, Seyed Mohammad, Ripon, Rezaul Karim, Sacco, Simona, Sadeghi, Masoumeh, Saeed, Umar, Sahebkar, Amirhossein, Sahiledengle, Biniyam, Sahoo, Harihar, Sahu, Maitreyi, Salama, Joseph S, Salamati, Payman, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Sathian, Brijesh, Sawhney, Monika, Schmidt, Maria Inê, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shaikh, Masood Ali, Sheikh, Aziz, Shetty, Adithi, Shigematsu, Mika, Shiri, Rahman, Shivakumar, K M, Shokri, Azad, Singh, Jasvinder A, Sinha, Dhirendra Narain, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sofi-Mahmudi, Ahmad, Sousa, Raúl A R C, Stephens, Jacqueline H, Sun, Jing, Szócska, Mikló, Tabarés-Seisdedos, Rafael, Tadbiri, Hooman, Tamiru, Animut Tagele, Thankappan, Kavumpurathu Raman, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Tran, Bach Xuan, Tripathi, Niharika, Tripathy, Jaya Prasad, Troeger, Christopher E, Uezono, Deinzel Roble, Ullah, Saif, Ullah, Anayat, Unnikrishnan, Bhaskaran, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vasic, Milena, Veroux, Massimiliano, Vervoort, Dominique, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Waheed, Yasir, Wamai, Richard G, Wang, Yuan-Pang, Wang, Yanzhong, Ward, Paul, Wiangkham, Taweewat, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yi, Siyan, Yiğit, Vahit, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Sojib Bin, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H, Lim, Stephen S, Murray, Christopher J L, Lozano, Rafael, Haakenstad, A, Yearwood, J, Fullman, N, Bintz, C, Bienhoff, K, Weaver, M, Nandakumar, V, Joffe, J, Legrand, K, Knight, M, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abeldano Zuniga, R, Adedeji, I, Adekanmbi, V, Adetokunboh, O, Afzal, M, Afzal, S, Agudelo-Botero, M, Ahinkorah, B, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, A, Ahmed Rashid, T, Aji, B, Akande-Sholabi, W, Alam, K, Al Hamad, H, Alhassan, R, Ali, L, Alipour, V, Aljunid, S, Ameyaw, E, Amin, T, Amu, H, Amugsi, D, Ancuceanu, R, Andrade, P, Anjum, A, Arabloo, J, Arab-Zozani, M, Ariffin, H, Arulappan, J, Aryan, Z, Ashraf, T, Atnafu, D, Atreya, A, Ausloos, M, Avila-Burgos, L, Ayano, G, Ayanore, M, Azari, S, Badiye, A, Baig, A, Bairwa, M, Bakkannavar, S, Baliga, S, Banik, P, Barnighausen, T, Barra, F, Barrow, A, Basu, S, Bayati, M, Belete, R, Bell, A, Bhagat, D, Bhagavathula, A, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhattacharyya, K, Bhutta, Z, Bibi, S, Bijani, A, Bikbov, B, Biondi, A, Bolarinwa, O, Bonny, A, Brenner, H, Buonsenso, D, Burkart, K, Busse, R, Butt, Z, Butt, N, Caetano dos Santos, F, Cahuana-Hurtado, L, Camera, L, Cardenas, R, Carneiro, V, Catala-Lopez, F, Chandan, J, Charan, J, Chavan, P, Chen, S, Choudhari, S, Chowdhury, E, Chowdhury, M, Cirillo, M, Corso, B, Dadras, O, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Dangel, W, Davila-Cervantes, C, Davletov, K, Deuba, K, Dhimal, M, Djalalinia, S, Do, H, Doshmangir, L, Duncan, B, Effiong, A, Ehsani-Chimeh, E, Elgendy, I, Elhadi, M, El Sayed, I, El Tantawi, M, Erku, D, Eskandarieh, S, Fares, J, Farzadfar, F, Ferrero, S, Ferro Desideri, L, Fischer, F, Foigt, N, Foroutan, M, Fukumoto, T, Gaal, P, Gaihre, S, Gardner, W, Garg, T, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gilani, S, Gill, P, Goharinezhad, S, Golechha, M, Guadamuz, J, Guo, Y, Gupta, R, Gupta, V, Hamiduzzaman, M, Hanif, A, Haro, J, Hasaballah, A, Hasan, M, Hashi, A, Hay, S, Hayat, K, Heidari, M, Heidari, G, Henry, N, Herteliu, C, Holla, R, Hossain, S, Hossain, M, Hosseinzadeh, M, Hostiuc, S, Hoveidamanesh, S, Hsieh, V, Hu, G, Huang, J, Huda, M, Ifeagwu, S, Ikuta, K, Ilesanmi, O, Irvani, S, Islam, R, Islam, S, Ismail, N, Iso, H, Isola, G, Itumalla, R, Iwagami, M, Jahani, M, Jahanmehr, N, Jain, R, Jakovljevic, M, Janodia, M, Jayapal, S, Jayaram, S, Jha, R, Jonas, J, Joo, T, Joseph, N, Jurisson, M, Kabir, A, Kalankesh, L, Kalhor, R, Kamath, A, Kamenov, K, Kandel, H, Kantar, R, Kapoor, N, Karanikolos, M, Katikireddi, S, Kavetskyy, T, Kawakami, N, Kayode, G, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khalilov, R, Khammarnia, M, Khan, M, Khezeli, M, Kim, M, Kim, Y, Kisa, S, Kisa, A, Klymchuk, V, Koly, K, Korzh, O, Kosen, S, Koul, P, Kuate Defo, B, Kumar, G, Kusuma, D, Kyu, H, Larsson, A, Lasrado, S, Lee, W, Lee, Y, Lee, C, Li, S, Lucchetti, G, Mahajan, P, Majeed, A, Makki, A, Malekzadeh, R, Malik, A, Malta, D, Mansournia, M, Mantovani, L, Martinez-Valle, A, Martins-Melo, F, Masoumi, S, Mathur, M, Maude, R, Maulik, P, Mckee, M, Mendoza, W, Menezes, R, Mensah, G, Meretoja, A, Meretoja, T, Mestrovic, T, Michalek, I, Mirrakhimov, E, Misganaw, A, Misra, S, Moazen, B, Mohammadi, M, Mohammed, S, Moitra, M, Mokdad, A, Molokhia, M, Monasta, L, Moni, M, Moradi, G, Moreira, R, Mosser, J, Mostafavi, E, Mouodi, S, Nagarajan, A, Nagata, C, Naghavi, M, Nangia, V, Narasimha Swamy, S, Narayana, A, Nascimento, B, Nassereldine, H, Nayak, B, Nazari, J, Negoi, I, Nepal, S, Neupane Kandel, S, Ngunjiri, J, Nguyen, H, Nguyen, C, Ningrum, D, Noubiap, J, Oancea, B, Oghenetega, O, Oh, I, Olagunju, A, Olakunde, B, Omar Bali, A, Omer, E, Onwujekwe, O, Otoiu, A, Padubidri, J, Palladino, R, Pana, A, Panda-Jonas, S, Pandi-Perumal, S, Pardhan, S, Pasupula, D, Pathak, P, Patton, G, Pawar, S, Pereira, J, Pilania, M, Piroozi, B, Podder, V, Pokhrel, K, Postma, M, Prada, S, Quazi Syed, Z, Rabiee, N, Radhakrishnan, R, Rahman, M, Rahmani, A, Ranabhat, C, Rao, C, Rao, S, Rasella, D, Rawaf, S, Rawaf, D, Rawal, L, Renzaho, A, Reshmi, B, Resnikoff, S, Rezapour, A, Riahi, S, Ripon, R, Sacco, S, Sadeghi, M, Saeed, U, Sahebkar, A, Sahiledengle, B, Sahoo, H, Sahu, M, Salama, J, Salamati, P, Samy, A, Sanabria, J, Santric-Milicevic, M, Sathian, B, Sawhney, M, Schmidt, M, Seidu, A, Sepanlou, S, Seylani, A, Shaikh, M, Sheikh, A, Shetty, A, Shigematsu, M, Shiri, R, Shivakumar, K, Shokri, A, Singh, J, Sinha, D, Skryabin, V, Skryabina, A, Sofi-Mahmudi, A, Sousa, R, Stephens, J, Sun, J, Szocska, M, Tabares-Seisdedos, R, Tadbiri, H, Tamiru, A, Thankappan, K, Topor-Madry, R, Tovani-Palone, M, Tran, M, Tran, B, Tripathi, N, Tripathy, J, Troeger, C, Uezono, D, Ullah, S, Ullah, A, Unnikrishnan, B, Vacante, M, Valadan Tahbaz, S, Valdez, P, Vasic, M, Veroux, M, Vervoort, D, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Waheed, Y, Wamai, R, Wang, Y, Ward, P, Wiangkham, T, Yadav, L, Yahyazadeh Jabbari, S, Yamagishi, K, Yaya, S, Yazdi-Feyzabadi, V, Yi, S, Yigit, V, Yonemoto, N, Younis, M, Yu, C, Yunusa, I, Zaman, S, Zastrozhin, M, Zhang, Z, Zhong, C, Zuniga, Y, Lim, S, Murray, C, Lozano, R, Bill & Melinda Gates Foundation, King Edward Medical University (Pakistán), Kuwait University (Kuwait), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Alexander von Humboldt Foundation, Federal Ministry of Education & Research (Alemania), Unión Europea. Comisión Europea. H2020, University of Aberdeen (Reino Unido), Novo Nordisk Foundation, National Health and Medical Research Council (Australia), National Research, Development and Innovation Office (Hungria), National Records of Scotland (Reino Unido), Medical Research Council (Reino Unido), Scottish Government (Reino Unido), Jatiya Kabi Kazi Nazrul Islam University (Bangladesh), Xiamen University Malaysia (Malasia), National Council for Scientific and Technological Development (Brasil), Ministero della Salute (Italia), Fondazione IRCCS. Istituto Nazionale dei Tumori, King College London, IRCCS Materno Infantile Burlo Garofolo (Italia), Edwards Lifesciences Foundation, Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Brasil), Manipal Academy of Higher Education (India), Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España), Government of Catalonia (España), International Center of Medical Sciences Research (Pakistán), Ain Shams University (Egipto), Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red - CIBERSAM (Salud Mental), INCLIVA Health Research Institute (España), Canadian Institutes of Health Research, Australian Government, and Ministry of Education, Science and Technological Development (Serbia)
Subjects: Adult, Adolescent, Population, Global Health, Health Services Accessibility, Global Burden of Disease, Health system quality, Young Adult, Nations, Health systems, health care access, Risk Factors, Quality-Adjusted Life Year, Humans, Child, Global Burden of Disease Study 2019, Health-care access, Aged, Quality of Health Care, quality, performance, The Healthcare Access and Quality Index, Risk Factor, Infant, Newborn, Infant, eu-repo/semantics/review [info], Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Health-care quality, Middle Aged, 3141 Health care science, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Indicator, Medical-care, Child, Preschool, Deaths, Amenable mortality, Quality-Adjusted Life Years, Age groups, Trends, Human
Abstract: Background: Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. Methods: We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. Findings: Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. Interpretation: Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. O Adetokunboh acknowledges support from Department of Science and Innovation and National Research Foundation. S Afzal acknowledges the institutional support of King Edward Medical University. S Aljunid acknowledges Department of Health Policy and Management, College of Public Health, Health Science Centre, Kuwait University for the approval and support to participate in this research project. M Ausloos, C Herteliu, and A Pana acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu also acknowledges partial support by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the Federal Ministry of Education and Research. B Bikbov acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Institute of Applied Health Sciences; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Scotland. The salary for N Ghith is covered by a grant from Novo Nordisk Foundation (NNF16OC0021856). V B Gupta acknowledges funding support from National Health and Medical Research Council (NHMRC) Australia. V K Gupta acknowledges funding support from National Health and Medical Research Council (NHMRC) Australia. T Joo acknowledges support from the National Research, Development and Innovation Office of Hungary under grant RRF-2.3.1-21-2022-00006 (Data-driven Health Division of Health Security National Laboratory). S Vittal Katikireddi acknowledges funding from a NRS Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). M N Khan acknowledges the support of Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh. Y J Kim acknowledges support from the Research Management Centre Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. G Lucchetti is a grantee of the Brazilian National Council for Scientific and Technological Development Research Productivity - Level 1D. L Mantovani acknowledges support by Italian Ministry of Health Ricerca Corrente - IRCCS Multimedica. M Molokhia acknowledges support by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta reports support for the present manuscript from the Italian Ministry of Health on project Ricerca Corrente 34/2017 and payments made to the Institute for Maternal and Child Health IRCCS Burlo Garofolo. R Moreira acknowledges the CNPQ productivity grant (316607/2021-5). B R Nascimento is partially supported by CNPq (Research Productivity Grant, 312382/2019-7), the Edwards Lifesciences Foundation (Improving the prevention and detection of Heart Valve disease across the Lifespan, 2021), and FAPEMIG (grant APQ-000627-20). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India for their constant support in conducting research. D Rasella reports financial support from the Spanish Ministry of Science and Innovation and State Research Agency through the Centro de Excelencia Severo Ochoa 2019-2023 programme (CEX2018-000806-S), and financial support from the Generalitat de Catalunya through the Centres de Recerca de Catalunya programme. U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. U Saeed would like to acknowledge Kasturba Medical College, Mangalore. Manipal Academy of Higher Education, Manipal for supporting research activities. R T-S is supported by the Spanish Ministry of Science and Innovation, Institute of Health Carlos III, CIBERSAM, INCLIVA (PID2021-129099OB-I00). D Vervoort is supported by the Canadian Institutes of Health Research (CIHR) Vanier Canada Graduate Scholarship. S B Zaman acknowledges receiving a scholarship from the Australian Government Research Training Program (RTP) in support of his academic career. Serbian part of this GBD contribution was co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of The Republic of Serbia. This work was supported, in whole or in part, by the Bill & Melinda Gates Foundation OPP1152504. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. Sí
Published: 2022

213. Examining person-centered maternity care in a peri-urban setting in Embakasi, Nairobi, Kenya

Author: Patience A. Afulani, Danice Brown Guzmán, Laura E. Miller-Graff, Jackline Oluoch-Aridi, Cindy Makanga, and Khan, Md Nuruzzaman
Subjects: Palliative care, Quality management, Maternal Health, Health Care Providers, 8.1 Organisation and delivery of services, Nurses, Social Sciences, Reproductive health and childbirth, Academic Skills, Literacy, Labor and Delivery, Health facility, Pregnancy, Patient-Centered Care, Medicine and Health Sciences, Psychology, Medical Personnel, media_common, Multidisciplinary, Multilevel model, Palliative Care, Obstetrics and Gynecology, Prenatal Care, Health Services, Middle Aged, Professions, Scale (social sciences), Medicine, Female, Autonomy, Health and social care services research, Research Article, Adult, medicine.medical_specialty, Clinical officer, Adolescent, General Science & Technology, media_common.quotation_subject, Science, Young Adult, Clinical Research, Antenatal Care, Physicians, medicine, Humans, Maternal Health Services, business.industry, Cognitive Psychology, Infant, Newborn, Infant, Biology and Life Sciences, Newborn, Kenya, Health Care, Good Health and Well Being, Cross-Sectional Studies, Health Care Facilities, Family medicine, People and Places, Birth, Women's Health, Cognitive Science, Population Groupings, Health Facilities, business, Neuroscience
Abstract: Introduction Peri-urban settings have high maternal mortality and the quality of care received in different types of health facilities is varied. Yet few studies have explored the construct of person-centered maternity care (PCMC) within peri-urban settings. Understanding women’s experience of maternity care in peri-urban settings will allow health facility managers and policy makers to improve services in these settings. This study examines factors associated with PCMC in a peri-urban setting in Kenya. Methods and materials We analyzed data from a cross-sectional study with 307 women aged 18–49 years who had delivered a baby within the preceding six weeks. Women were recruited from public (n = 118), private (n = 76), and faith based (n = 113) health facilities. We measured PCMC using the 30-item validated PCMC scale which evaluates women’s experiences of dignified and respectful care, supportive care, and communication and autonomy. Factors associated with PCMC were evaluated using multilevel models, with women nested within facilities. Results The average PCMC score was 58.2 (SD = 13.66) out of 90. Controlling for other factors, literate women had, on average, about 6-point higher PCMC scores than women who were not literate (β = 5.758, p = 0.006). Women whose first antenatal care (ANC) visit was in the second (β = -5.030, p = 0.006) and third trimester (β = -7.288, p = 0.003) had lower PCMC scores than those whose first ANC were in the first trimester. Women who were assisted by an unskilled attendant or an auxiliary nurse/midwife at birth had lower PCMC than those assisted by a nurse, midwife or clinical officer (β = -8.962, p = 0.016). Women who were interviewed by phone (β = -7.535, p = 0.006) had lower PCMC scores than those interviewed in person. Conclusions Factors associated with PCMC include literacy, ANC timing and duration, and delivery provider. There is a need to improve PCMC in these settings as part of broader quality improvement activities to improve maternal and neonatal health.
Published: 2021

214. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

Author: Nancy, Fullman, Jamal, Yearwood, Solomon, M, Abay, Cristiana, Abbafati, Foad, Abd-Allah, Jemal, Abdela, Ahmed, Abdelalim, Zegeye, Abebe, Teshome, Abuka, Abebo, Victor, Aboyans, Haftom, Niguse, Abraha, Daisy, M, X, Abreu, Laith, Abu-Raddad, J, Akilew, Awoke, Adane, Rufus, Adesoji, Adedoyin, Olatunji, Adetokunboh, Tara, Ballav, Adhikari, Mohsen, Afarideh, Ashkan, Afshin, Gina, Agarwal, Dominic, Agius, Anurag, Agrawal, Sutapa, Agrawal, Aliasghar, Ahmad, Kiadaliri, Miloud, Taki, Eddine, Aichour, Mohammed, Akibu, Rufus, Olusola, Akinyemi, Tomi, Akinyemiju, F, Nadia, Akseer, Faris, Hasan, Lami, Al, Fares, Alahdab, Ziyad, Al-Aly, Khurshid, Alam, Tahiya, Alam, Deena, Alasfoor, Mohammed, I, Albittar, Kefyalew, Addis, Alene, Ayman, Al-Eyadhy, Syed, Danish, Ali, Mehran, Alijanzadeh, Syed, M, Aljunid, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Mahmoud, A, Alomari, Rajaa, Al-Raddadi, Ubai, Alsharif, Khalid, A, Altirkawi, Nelson, Alvis-Guzman, Azmeraw, T, Amare, Kebede, Amenu, Walid, Ammar, Yaw, Ampem, Amoako, Nahla, Anber, Catalina, Liliana, Andrei, Sofia, Androudi, Carl, Abelardo, Antonio, T, Valdelaine, E, Araújo, M, Olatunde, Aremu, Johan, Ärnlöv, Artaman, Al, Krishna, Kumar, Aryal, Hamid, Asayesh, Ephrem, Tsegay, Asfaw, Solomon, Weldegebreal, Asgedom, Rana, Jawad, Asghar, Mengistu, Mitiku, Ashebir, Netsanet, Abera, Asseffa, Tesfay, Mehari, Atey, Sachin, R, Atre, Madhu, Atteraya, S, Leticia, Avila-Burgos, Euripide, Frinel, Arthur, G, Avokpaho, Ashish, Awasthi, Beatriz, Paulina, Ayala, Quintanilla, Animut, Alebel, Ayalew, Henok, Tadesse, Ayele, Rakesh, Ayer, Tambe, Betrand, Ayuk, Peter, Azzopardi, Natasha, Azzopardi-Muscat, Tesleem, Kayode, Babalola, Hamid, Badali, Alaa, Badawi, Maciej, Banach, Amitava, Banerjee, Amrit, Banstola, Ryan, M, Barber, Miguel, Barboza, A, Suzanne, L, Barker-Collo, Till, Bärnighausen, Simon, Barquera, Lope, H, Barrero, Quique, Bassat, Sanjay, Basu, Bernhard, T, Baune, Shahrzad, Bazargan-Hejazi, Neeraj, Bedi, Ettore, Beghi, Masoud, Behzadifar, Meysam, Behzadifar, Bayu, Begashaw, Bekele, Abate, Bekele, Belachew, Saba, Abraham, Belay, Yihalem, Abebe, Belay, Michelle, L, Bell, Aminu, Bello, K, Derrick, A, Bennett, James, Bennett, R, Isabela, M, Bensenor, Derbew, Fikadu, Berhe, Eduardo, Bernabé, Robert, Steven, Bernstein, Mircea, Beuran, Ashish, Bhalla, Paurvi, Bhatt, Soumyadeep, Bhaumik, Zulfiqar, A, Bhutta, Belete, Biadgo, Ali, Bijani, Boris, Bikbov, Charles, Birungi, Stan, Biryukov, Hailemichael, Bizuneh, Ian, W, Bolliger, Kaylin, Bolt, Ibrahim, R, Bou-Orm, Kayvan, Bozorgmehr, Oliver, Jerome, Brady, Alexandra, Brazinova, Nicholas, J, Breitborde, K, Hermann, Brenner, Gabrielle, Britton, Traolach, S, Brugha, Zahid, Butt, A, Lucero, Cahuana-Hurtado, Ismael, Ricardo, Campos-Nonato, Julio, Cesar, Campuzano, Josip, Car, Mate, Car, Rosario, Cárdenas, Juan, Jesus, Carrero, Felix, Carvalho, Carlos, A, Castañeda-Orjuela, Jacqueline, Castillo, Rivas, Ferrán, Catalá-López, Kelly, Cercy, Julian, Chalek, Hsing-Yi, Chang, Jung-Chen, Chang, Aparajita, Chattopadhyay, Pankaj, Chaturvedi, Peggy, Pei-Chia, Chiang, Vesper, Hichilombwe, Chisumpa, Jee-Young, J, Choi, Hanne, Christensen, Devasahayam, Jesudas, Christopher, Sheng-Chia, Chung, Liliana, G, Ciobanu, Cirillo, Massimo, Danny, Colombara, Sara, Conti, Cyrus, Cooper, Leslie, Cornaby, Paolo, Angelo, Cortesi, Monica, Cortinovis, Alexandre, Costa, Pereira, Ewerton, Cousin, Michael, H, Criqui, Elizabeth, Cromwell, A, Christopher, Stephen, Crowe, John, Crump, A, Alemneh, Kabeta, Daba, Berihun, Assefa, Dachew, Abel, Fekadu, Dadi, Lalit, Dandona, Rakhi, Dandona, Paul, I, Dargan, Ahmad, Daryani, Maryam, Daryani, Jai, Das, Siddharth, Kumar, Das, José, Das, Neves, Nicole, Davis, Weaver, Kairat, Davletov, Barbora, De, Courten, Diego, Leo, De, Jan-Walter, De, Neve, Robert, Dellavalle, P, Gebre, Demoz, Kebede, Deribe, Don, C, Des, Jarlais, Subhojit, Dey, Samath, D, Dharmaratne, Meghnath, Dhimal, Shirin, Djalalinia, David, Teye, Doku, Kate, Dolan, Ray, E, Dorsey, Kadine, Priscila, Bender, Dos, Santos, Kerrie, E, Doyle, Tim, Driscoll, R, Manisha, Dubey, Eleonora, Dubljanin, Bruce, Bartholow, Duncan, Michelle, Echko, Dumessa, Edessa, David, Edvardsson, Joshua, R, Ehrlich, Erika, Eldrenkamp, Ziad, El-Khatib, Matthias, Endres, Aman, Yesuf, Endries, Babak, Eshrati, Sharareh, Eskandarieh, Alireza, Esteghamati, Mahdi, Fakhar, Tamer, Farag, Mahbobeh, Faramarzi, Emerito, Jose, Aquino, Faraon, André, Faro, Farshad, Farzadfar, Adesegun, Fatusi, Mir, Sohail, Fazeli, Valery, Feigin, L, Andrea, B, Feigl, Netsanet, Fentahun, Seyed-Mohammad, Fereshtehnejad, Eduarda, Fernandes, João, C, Fernandes, Daniel, Obadare, Fijabi, Irina, Filip, Florian, Fischer, Christina, Fitzmaurice, Abraham, D, Flaxman, Luisa, Sorio, Flor, Nataliya, Foigt, Kyle, J, Foreman, Joseph, Frostad, J, Thomas, Fürst, Neal, D, Futran, Emmanuela, Gakidou, Silvano, Gallus, Ketevan, Gambashidze, Amiran, Gamkrelidze, Morsaleh, Ganji, Abadi, Kahsu, Gebre, Tsegaye, Tewelde, Gebrehiwot, Amanuel, Tesfay, Gebremedhin, Yalemzewod, Assefa, Gelaw, Johanna, M, Geleijnse, Demeke, Geremew, Peter, W, Gething, Reza, Ghadimi, Khalil, Ghasemi, Falavarjani, Maryam, Ghasemi-Kasman, Paramjit, Singh, Gill, Ababi, Zergaw, Giref, Maurice, Giroud, Melkamu, Dedefo, Gishu, Giorgia, Giussani, William, W, Godwin, Srinivas, Goli, Hector, Gomez-Dantes, Philimon, N, Gona, Amador, Goodridge, Sameer, Vali, Gopalani, Yevgeniy, Goryakin, Alessandra, Carvalho, Goulart, Ayman, Grada, Max, Griswold, Giuseppe, Grosso, Harish, Chander, Gugnani, Yuming, Guo, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Tarun, Gupta, Vipin, Gupta, Juanita, A, Haagsma, Vladimir, Hachinski, Nima, Hafezi-Nejad, Gessessew, Bugssa, Hailu, Randah, Ribhi, Hamadeh, Samer, Hamidi, Graeme, J, Hankey, Hilda, Harb, L, Heather, C, Harewood, Sivadasanpillai, Harikrishnan, Josep, Maria, Haro, Hamid, Yimam, Hassen, Rasmus, Havmoeller, Caitlin, Hawley, Simon, I, Hay, Jiawei, He, Stephen, J, Hearps, C, Mohamed, I, Hegazy, Behzad, Heibati, Mohsen, Heidari, Delia, Hendrie, Nathaniel, J, Henry, Victor, Hugo, Herrera, Ballesteros, Claudiu, Herteliu, Desalegn, Tsegaw, Hibstu, Molla, Kahssay, Hiluf, Hans, W, Hoek, Enayatollah, Homaie, Rad, Nobuyuki, Horita, Dean, H, Hosgood, Mostafa, Hosseini, Seyed, Reza, Hosseini, Mihaela, Hostiuc, Sorin, Hostiuc, Damian, G, Hoy, Mohamed, Hsairi, Aung, Soe, Htet, Guoqing, Hu, John, J, Huang, Kim, Moesgaard, Iburg, Fachmi, Idris, Ehimario, Uche, Igumbor, Chad, Ikeda, Bogdan, Vasile, Ileanu, Olayinka, Ilesanmi, S, Kaire, Innos, Seyed, Sina, Naghibi, Irvani, Caleb, M, Irvine, S, Farhad, Islami, Troy, A, Jacobs, Kathryn, Jacobsen, H, Nader, Jahanmehr, Rajesh, Jain, Sudhir, Kumar, Jain, Mihajlo, Jakovljevic, M, Moti, Tolera, Jalu, Amr, Jamal, A, Mehdi, Javanbakht, Achala, Upendra, Jayatilleke, Panniyammakal, Jeemon, Ravi, Prakash, Jha, Vivekanand, Jha, Jacek, Józwiak, Oommen, John, Sarah, Charlotte, Johnson, Jost, Jonas, B, Vasna, Joshua, Mikk, Jürisson, Zubair, Kabir, Rajendra, Kadel, Amaha, Kahsay, Rizwan, Kalani, Chittaranjan, Kar, Marina, Karanikolos, André, Karch, Corine, Kakizi, Karema, Seyed, Karimi, M, Amir, Kasaeian, Dessalegn, Haile, Kassa, Getachew, Mullu, Kassa, Tesfaye, Dessale, Kassa, Nicholas, Kassebaum, J, Srinivasa, Vittal, Katikireddi, Anil, Kaul, Norito, Kawakami, Konstantin, Kazanjan, Seifu, Kebede, Peter, Njenga, Keiyoro, Grant, Rodgers, Kemp, Andre, Pascal, Kengne, Maia, Kereselidze, Ezra, Belay, Ketema, Yousef, Saleh, Khader, Morteza, Abdullatif, Khafaie, Alireza, Khajavi, Ibrahim, A, Khalil, Ejaz, Ahmad, Khan, Gulfaraz, Khan, Nuruzzaman, Md, Khan, Muhammad, Ali, Khan, Mukti, Nath, Khanal, Young-Ho, Khang, Mona, M, Khater, Abdullah, Tawfih, Abdullah, Khoja, Ardeshir, Khosravi, Jagdish, Khubchandani, Getiye, Dejenu, Kibret, Daniel, Ngari, Kiirithio, Daniel, Kim, Yun, Jin, Kim, Ruth, Kimokoti, W, Yohannes, Kinfu, Sanjay, Kinra, Adnan, Kisa, Niranjan, Kissoon, Sonali, Kochhar, Yoshihiro, Kokubo, Jacek, A, Kopec, Soewarta, Kosen, Parvaiz, A, Koul, 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Ray, Dos Santos, Kadine Priscila Bender, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duncan, Bruce Bartholow, Echko, Michelle, Edessa, Dumessa, Edvardsson, David, Ehrlich, Joshua R., Eldrenkamp, Erika, El-Khatib, Ziad, Endres, Matthia, Endries, Aman Yesuf, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Fakhar, Mahdi, Farag, Tamer, Faramarzi, Mahbobeh, Faraon, Emerito Jose Aquino, Faro, André, Farzadfar, Farshad, Fatusi, Adesegun, Fazeli, Mir Sohail, Feigin, Valery L., Feigl, Andrea B., Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, João C., Fijabi, Daniel Obadare, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D., Flor, Luisa Sorio, Foigt, Nataliya, Foreman, Kyle J., Frostad, Joseph J., Fürst, Thoma, Futran, Neal D., Gakidou, Emmanuela, Gallus, Silvano, Gambashidze, Ketevan, Gamkrelidze, Amiran, Ganji, Morsaleh, Gebre, Abadi Kahsu, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M., Geremew, Demeke, Gething, Peter W., Ghadimi, Reza, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Gill, Paramjit Singh, Giref, Ababi Zergaw, Giroud, Maurice, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W., Goli, Sriniva, Gomez-Dantes, Hector, Gona, Philimon N., Goodridge, Amador, Gopalani, Sameer Vali, Goryakin, Yevgeniy, Goulart, Alessandra Carvalho, Grada, Ayman, Griswold, Max, Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Tarun, Gupta, Vipin, Haagsma, Juanita A., Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hankey, Graeme J., Harb, Hilda L., Harewood, Heather C., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassen, Hamid Yimam, Havmoeller, Rasmu, Hawley, Caitlin, Hay, Simon I., He, Jiawei, Hearps, Stephen J.C., Hegazy, Mohamed I., Heibati, Behzad, Heidari, Mohsen, Hendrie, Delia, Henry, Nathaniel J., Herrera Ballesteros, Victor Hugo, Herteliu, Claudiu, Hibstu, Desalegn Tsegaw, Hiluf, Molla Kahssay, Hoek, Hans W., Homaie Rad, Enayatollah, Horita, Nobuyuki, Hosgood, H. Dean, Hosseini, Mostafa, Hosseini, Seyed Reza, Hostiuc, Mihaela, Hostiuc, Sorin, Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Iburg, Kim Moesgaard, Idris, Fachmi, Igumbor, Ehimario Uche, Ikeda, Chad, Ileanu, Bogdan Vasile, Ilesanmi, Olayinka S., Innos, Kaire, Irvani, Seyed Sina Naghibi, Irvine, Caleb M.S., Islami, Farhad, Jacobs, Troy A., Jacobsen, Kathryn H., Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo M., Jalu, Moti Tolera, Jamal, Amr A., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Józwiak, Jacek, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Joshua, Vasna, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kar, Chittaranjan, Karanikolos, Marina, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn Haile, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodger, Kengne, Andre Pascal, Kereselidze, Maia, Ketema, Ezra Belay, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Muhammad Ali, Khanal, Mukti Nath, Khang, Young-Ho, Khater, Mona M., Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khubchandani, Jagdish, Kibret, Getiye Dejenu, Kiirithio, Daniel Ngari, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohanne, Kinra, Sanjay, Kisa, Adnan, Kissoon, Niranjan, Kochhar, Sonali, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krishan, Kewal, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kumar, G. Anil, Kumar, Pushpendra, Kutz, Michael, Kuzin, Igor, Kyu, Hmwe H., Lad, Deepesh Pravinkumar, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lan, Qing, Lang, Justin J., Lansingh, Van C., Lansky, Sonia, Larsson, Ander, Latifi, Arman, Lazarus, Jeffrey Victor, Leasher, Janet L., Lee, Paul H., Legesse, Yirga, Leigh, Jame, Leshargie, Cheru Tesema, Leta, Samson, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liang, Juan, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S., Lind, Margaret, Linn, Shai, Listl, Stefan, Liu, Patrick Y., Liu, Shiwei, Lodha, Rakesh, Lopez, Alan D., Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lucas, Timothy C.D., Lunevicius, Raimunda, Lurton, Grégoire, Lyons, Ronan A., Maalouf, Fadi, Macarayan, Erlyn Rachelle King, Mackay, Mark T., Maddison, Emilie R., Madotto, Fabiana, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A., Manguerra, Helena, Manhertz, Treh, Mansournia, Mohammad Ali, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Margono, Christopher, Martinez-Raga, Jose, Martins, Sheila Cristina Ourique, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K., Mazidi, Mohsen, McAlinden, Colm, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehrotra, Ravi, Mehta, Kala M., Mehta, Varshil, Meier, Toni, Mejia-Rodriguez, Fabiola, Meles, Kidanu Gebremariam, Melku, Mulugeta, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengiste, Degu Abate, Mengistu, Desalegn Tadese, Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Mezgebe, Haftay Berhane, Miazgowski, Tomasz, Micha, Renata, Milam, Robert, Millear, Anoushka, Miller, Ted R., Mini, G.K., Minnig, Shawn, Mirica, Andreea, Mirrakhimov, Erkin M., Misganaw, Awoke, Mitchell, Philip B., Mlashu, Fitsum Weldegebreal, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammadibakhsh, Roghayeh, Mohammed, Ebrahim, Mohammed, Mohammed A., Mohammed, Shafiu, Mokdad, Ali H., Mola, Glen Liddell D., Molokhia, Mariam, Momeniha, Fatemeh, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Moosazadeh, Mahmood, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreno Velasquez, Ilai, Mori, Rintaro, Morrison, Shane D., Moses, Mark, Mousavi, Seyyed Meysam, Mueller, Ulrich O., Murhekar, Manoj, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naik, Gurudatta A., Naik, Nitish, Najafi, Farid, Naldi, Luigi, Nangia, Vinay, Nansseu, Jobert Richie Njingang, Narayan, K.M. Venkat, Nascimento, Bruno Ramo, Negoi, Ionut, Negoi, Ruxandra Irina, Newton, Charles R., Ngunjiri, Josephine Wanjiku, Nguyen, Grant, Nguyen, Long, Nguyen, Trang Huyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nolte, Ellen, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N., Nyandwi, Alypio, Obermeyer, Carla Makhlouf, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olivares, Pedro R., De Oliveira, Patricia Pereira Vasconcelo, Olsen, Helen E., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortega-Altamirano, Doris V., Ortiz, Alberto, Ozdemir, Raziye, Pa, Mahesh, Pain, Amanda W., Palone, Marcos Roberto Tovani, Pana, Adrian, Panda-Jonas, Songhomitra, Pandian, Jeyaraj D., Park, Eun-Kee, Parsian, Hadi, Patel, Teja, Pati, Sanghamitra, Patil, Snehal T., Patle, Ajay, Patton, George C., Paturi, Vishnupriya Rao, Paudel, Deepak, De Moares Pedroso, Marcel, Pedroza, Sandra P., Pereira, David M., Perico, Norberto, Peterson, Hannah, Petzold, Max, Peykari, Niloofar, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pillay, Julian David, Piradov, Michael A., Polinder, Suzanne, Pond, Constance D., Postma, Maarten J., Pourmalek, Farshad, Prakash, Swayam, Prakash, V., Prasad, Narayan, Prasad, Noela Marie, Purcell, Caroline, Qorbani, Mostafa, Quintana, Hedley Knewjen, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Raju, Sree Bhushan, Ram, Usha, Rana, Saleem M., Rankin, Zane, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E., Razo-García, Christian Aspacia, Reddy, Priscilla, Reiner, Robert C., Reis, Cesar, Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M.N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rios Blancas, Maria Jesu, Rivera, Juan A., Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Roy, Nobhojit, Ruhago, George Mugambage, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafi, Safdarian, Mahdi, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salama, Joseph, Salamati, Payman, De Freitas Saldanha, Raphael, Salimzadeh, Hamideh, Salomon, Joshua A., Samy, Abdallah M., Sanabria, Juan Ramon, Sancheti, Parag K., Sanchez-Niño, Maria Dolore, Santomauro, Damian, Santos, Itamar S., Santric Milicevic, Milena M., Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schaeffner, Elke, Schmidhuber, Josef, Schmidt, Maria Inê, Schneider, Ione J.C., Schumacher, Austin E., Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Sekerija, Mario, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shafieesabet, Azadeh, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Shams-Beyranvand, Mehran, Sharafi, Heidar, Sharif-Alhoseini, Mahdi, Shariful Islam, Sheikh Mohammed, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shfare, Mebrahtu Teweldemedhin, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shinohara, Yukito, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shrime, Mark G., Shukla, Sharvari Rahul, Siabani, Soraya, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singh, Jasvinder A., Singh, Lavanya, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Sinke, Abiy Hiruye, Sisay, Mekonnen, Skirbekk, Vegard, Sliwa, Karen, Smith, Alison, Soares Filho, Adauto Martin, Sobaih, Badr H.A., Somai, Melek, Soneji, Samir, Soofi, Moslem, Sorensen, Reed J.D., Soriano, Joan B., Soyiri, Ireneous N., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J., Stokes, Mark Andrew, Sturua, Lela, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F., Sur, Patrick J., Sykes, Bryan L., Sylaja, P.N., Szoeke, Cassandra E.I., Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadesse, Andualem Henok, Taffere, Getachew Redae, Tandon, Nikhil, Tariku, Amare Tariku, Taveira, Nuno, Tehrani-Banihashemi, Arash, Temam Shifa, Girma, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Azeb Gebresilassie, Tesfaye, Dawit Jember, Tessema, Belay, Thakur, J.S., Thomas, Nihal, Thompson, Matthew J., Tillmann, Taavi, To, Quyen G., Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna, Tortajada, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Avnish, Tripathy, Srikanth Prasad, Troeger, Christopher, Truelsen, Thoma, Tsoi, Derrick, Tudor Car, Lorainne, Tuem, Kald Beshir, Tyrovolas, Stefano, Uchendu, Uche S., Ukwaja, Kingsley Nnanna, Ullah, Irfan, Updike, Rachel, Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, Valdez, Pascual Rubén, Van Boven, Job F.M., Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S., Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagnew, Fasil, Waheed, Yasir, Wallin, Mitchell T., Walson, Judd L., Wang, Yafeng, Wang, Yuan-Pang, Wassie, Molla Mesele, Weaver, Marcia R., Weiderpass, Elisabete, Weintraub, Robert G., Weiss, Jordan, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T. 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Sd, Aljunid, Sm, Alomari, Ma, Altirkawi, Ka, Amare, At, Amoako, Ya, Andrei, Cl, Antonio, Cat, Araújo, Vem, Aryal, Kk, Asfaw, Et, Asgedom, Sw, Asghar, Rj, Ashebir, Mm, Asseffa, Na, Atey, Tm, Atre, Sr, Avokpaho, Efga, Ayala Quintanilla, Bp, Ayalew, Aa, Ayele, Ht, Ayuk, Tb, Babalola, Tk, Barber, Rm, Barboza, Ma, Barker-Collo, Sl, Barrero, Lh, Baune, Bt, Bekele, Bb, Belachew, Ab, Belay, Sa, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bennett, Jr, Bensenor, Im, Berhe, Df, Bhutta, Za, Bolliger, Iw, Bou-Orm, Ir, Brady, Oj, Breitborde, Njk, Butt, Za, Campos-Nonato, Ir, Campuzano, Jc, Carrero, Jj, Castañeda-Orjuela, Ca, Chang, Hy, Chang, Jc, Chiang, Pp, Chisumpa, Vh, Choi, Jj, Christopher, Dj, Chung, Sc, Ciobanu, Lg, Cortesi, Pa, Criqui, Mh, Cromwell, Ea, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dargan, Pi, Das, Sk, De Neve, Jw, Dellavalle, Rp, Des Jarlais, Dc, Dharmaratne, Sd, Doku, Dt, Dorsey, Er, Dos Santos, Kpb, Doyle, Ke, Driscoll, Tr, Duncan, Bb, Ehrlich, Jr, El-Khatib, Zz, Endries, 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Kim, Yj, Kimokoti, Rw, Kopec, Ja, Koul, Pa, Krohn, Kj, Kumar, Ga, Kyu, Hh, Lad, Dp, Lal, Dk, Lang, Jj, Lansingh, Vc, Lazarus, Jv, Leasher, Jl, Lee, Ph, Leshargie, Ct, Liben, Ml, Lim, Ll, Lopez, Ad, Lorch, Sa, Lotufo, Pa, Lucas, Tcd, Lyons, Ra, Macarayan, Erk, Mackay, Mt, Maddison, Er, Malta, Dc, Mamun, Aa, Mansournia, Ma, Mantovani, Lg, Mapoma, Cc, Martins, Sco, Martins-Melo, Fr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehta, Km, Meles, Kg, Memish, Za, Mengiste, Da, Mengistu, Dt, Menota, Bg, Mensah, Ga, Meretoja, Tj, Mezgebe, Hb, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Mitchell, Pb, Mlashu, Fw, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Mola, Gl, Montañez Hernandez, Jc, Morrison, Sd, Mousavi, Sm, Mueller, Uo, Murthy, Gv, Musa, Ki, Naik, Ga, Nansseu, Jrn, Narayan, Kv, Nascimento, Br, Negoi, Ri, Newton, Cr, Ngunjiri, Jw, Nguyen, Th, Ningrum, Dna, Nong, Vm, Norheim, Of, Noubiap, Jjn, Obermeyer, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Oliveira, Ppv, Olsen, He, Olusanya, Bo, Olusanya, Jo, Opio, Jn, Ortega-Altamirano, Dv, Pain, Aw, Palone, Mrt, Pandian, Jd, Park, Ek, Patil, St, Patton, Gc, Paturi, Vr, Pedroso, Mm, Pedroza, Sp, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Piradov, Ma, Pond, Cd, Postma, Mj, Prasad, Nm, Quintana, Hk, Rahman, Ma, Rahman, Su, Rai, Rk, Raju, Sb, Rana, Sm, Rawaf, Dl, Ray, Se, Razo-García, Ca, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Ribeiro, Al, Rios Blancas, Mj, Rivera, Ja, Roth, Ga, Ruhago, Gm, Sabde, Yd, Sahraian, Ma, Saldanha, Rf, Salomon, Ja, Samy, Am, Sanabria, Jr, Sancheti, Pk, Sanchez-Niño, Md, Santric Milicevic, Mm, Sarker, Ar, Saylan, Mi, Schmidt, Mi, Schneider, Ijc, Schumacher, Ae, Schutte, Ae, Schwebel, Dc, Sepanlou, Sg, Servan-Mori, Ee, Shaikh, Ma, Shariful Islam, Sm, Shfare, Mt, Shrime, Mg, Shukla, Sr, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silveira, Dga, Singh, Ja, Singh, Np, Sinha, Dn, Sinke, Ah, Soares Filho, Am, Sobaih, Bha, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Stein, Dj, Stokes, Ma, Sufiyan, Mb, Suliankatchi, Ra, Sunguya, Bf, Sur, Pj, Sykes, Bl, Sylaja, Pn, Tadakamadla, Sk, Tadesse, Ah, Taffere, Gr, Tariku, At, Temsah, Mh, Tesema, Ag, Tesfaye, Dj, Thompson, Mj, To, Qg, Tran, Bx, Tran, Kb, Tripathy, Sp, Tuem, Kb, Ukwaja, Kn, Uthman, Oa, Uzochukwu, Bsc, Valdez, Pr, van Boven, Jfm, Vladimirov, Sk, Vlassov, Vv, Vollset, Se, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weaver, Mr, Weintraub, Rg, Weldegwergs, Kg, West, Te, White, Rg, Whiteford, Ha, Wolfe, Cd, Wondimkun, Ya, Wyper, Gma, Yan, Ll, Yimer, Nb, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaki, Me, Zaman, Sb, Zenebe, Zm, Zimsen, Srm, Zuhlke, Lj, Murray, Cjl, and Lozano, R.
Subjects: Peformance, Coverage, Dánartíðni, Lífslíkur, Life expectancy, GBD, Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0–100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best), universal health coverage, Article, access quality health care, health care access and quality index, Nations, Healthcare Acce, Cause-specific mortality, Psychology, Healthcare Access and Quality Index, Mælitæki, States, Medicine (all), Health care, Þjóðir, Public Health, Global Health, Social Medicine and Epidemiology, Quality, Heilbrigðisþjónusta, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Sálfræði, Indicator, Amenable mortality, Transition, we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0–100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8–98·1) in Iceland, followed by 96·6 (94·9–97·9) in Norway and 96·1 (94·5–97·3) in the Netherlands, to values as low as 18·6 (13·1–24·4) in the Central African Republic, 19·0 (14·3–23·7) in Somalia, and 23·4 (20·2–26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1–93·6) in Beijing to 48·0 (43·4–53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6–68·8) in Goa to 34·0 (30·3–38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view—and subsequent provision—of quality health care for all populations, Trends, Inequalities
Abstract: Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97.1 (95% UI 95.8-98.1) in Iceland, followed by 96.6 (94.9-97.9) in Norway and 96.1 (94.5-97.3) in the Netherlands, to values as low as 18.6 (13.1-24.4) in the Central African Republic, 19.0 (14.3-23.7) in Somalia, and 23.4 (20.2-26.8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91.5 (89.1-936) in Beijing to 48.0 (43.4-53.2) in Tibet (a 43.5-point difference), while India saw a 30.8-point disparity, from 64.8 (59.6-68.8) in Goa to 34.0 (30.3-38.1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4.8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20.9-point to 17.0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17.2-point to 20.4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view and subsequent provision of quality health care for all populations., Bill & Melinda Gates Foundation. Barbora de Courten is supported by a National Heart Foundation Future Leader Fellowship (100864). Ai Koyanagi’s work is supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R + D + I and funded by the ISCIII —General Branch Evaluation and Promotion of Health Research—and the European Regional Development Fund (ERDF-FEDER). Alberto Ortiz was supported by Spanish Government (Instituto de Salud Carlos III RETIC REDINREN RD16/0019 FEDER funds). Ashish Awasthi acknowledges funding support from Department of Science and Technology, Government of India through INSPIRE Faculty scheme Boris Bikbov has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Boris Bikbov acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Panniyammakal Jeemon acknowledges support from the clinical and public health intermediate fellowship from the Wellcome Trust and Department of Biotechnology, India Alliance (2015–20). Job F M van Boven was supported by the Department of Clinical Pharmacy & Pharmacology of the University Medical Center Groningen, University of Groningen, Netherlands. Olanrewaju Oladimeji is an African Research Fellow hosted by Human Sciences Research Council (HSRC), South Africa and he also has honorary affiliations with Walter Sisulu University (WSU), Eastern Cape, South Africa and School of Public Health, University of Namibia (UNAM), Namibia. He is indeed grateful for support from HSRC, WSU and UNAM. EUI is supported in part by the South African National Research Foundation (NRF UID: 86003). Ulrich Mueller acknowledges funding by the German National Cohort Study grant No 01ER1511/D, Gabrielle B Britton is supported by Secretaría Nacional de Ciencia, Tecnología e Innovación and Sistema Nacional de Investigación de Panamá. Giuseppe Remuzzi acknowledges that the work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Behzad Heibati would like to acknowledge Air pollution Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. Syed Aljunid acknowledges the National University of Malaysia for providing the approval to participate in this GBD Project. Azeem Majeed and Imperial College London are grateful for support from the Northwest London National Insititute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research & Care. Tambe Ayuk acknowledges the Institute of Medical Research and Medicinal Plant Studies for office space provided. José das Neves was supported in his contribution to this work by a Fellowship from Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/92934/2013). João Fernandes gratefully acknowledges funding from FCT–Fundação para a Ciência e a Tecnologia (grant number UID/Multi/50016/2013). Jan-Walter De Neve was supported by the Alexander von Humboldt Foundation. Kebede Deribe is funded by a Wellcome Trust Intermediate Fellowship in Public Health and Tropical Medicine (201900). Kazem Rahimi was supported by grants from the Oxford Martin School, the NIHR Oxford BRC and the RCUK Global Challenges Research Fund. Laith J Abu-Raddad acknowledges the support of Qatar National Research Fund (NPRP 9-040-3-008) who provided the main funding for generating the data provided to the GBD-IHME effort. Liesl Zuhlke is funded by the national research foundation of South Africa and the Medical Research Council of South Africa. Monica Cortinovis acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Chuanhua Yu acknowleges support from the National Natural Science Foundation of China (grant number 81773552 and grant number 81273179) Norberto Perico acknowledges that work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Charles Shey Wiysonge’s work is supported by the South African Medical Research Council and the National Research Foundation of South Africa (grant numbers 106035 and 108571). John J McGrath is supported by grant APP1056929 from the John Cade Fellowship from the National Health and Medical Research Council and the Danish National Research Foundation (Niels Bohr Professorship). Quique Bassat is an ICREA (Catalan Institution for Research and Advanced Studies) research professor at ISGlobal. Richard G White is funded by the UK MRC and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement that is also part of the EDCTP2 programme supported by the European Union (MR/P002404/1), the Bill & Melinda Gates Foundation (TB Modelling and Analysis Consortium: OPP1084276/OPP1135288, CORTIS: OPP1137034/OPP1151915, Vaccines: OPP1160830), and UNITAID (4214-LSHTM-Sept15; PO 8477-0-600). Rafael Tabarés-Seisdedos was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIII-FEDER. Mihajlo Jakovljevic acknowleges contribution from the Serbian Ministry of Education Science and Technological Development of the Republic of Serbia (grant OI 175 014). Shariful Islam is funded by a Senior Fellowship from Institute for Physical Activity and Nutrition, Deakin University and received career transition grants from High Blood Pressure Research Council of Australia. Sonia Saxena is funded by various grants from the NIHR. Stefanos Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral program (reference number CD15/00019 from the Instituto de Salud Carlos III (ISCIII–Spain) and the Fondos Europeo de Desarrollo Regional. Stefanos was awarded with a 6 months visiting fellowship funding at IHME from M-AES (reference no. MV16/00035 from the Instituto de Salud Carlos III). S Vittal Katikreddi was funded by a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the MRC (MC_UU_12017/13 & MC_ UU_12017/15) and the Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15). Traolach S Brugha has received funding from NHS Digital UK to collect data used in this study. The work of Hamid Badali was financially supported by Mazandaran University of Medical Sciences, Sari, Iran. The work of Stefan Lorkowski is funded by the German Federal Ministry of Education and Research (nutriCARD, Grant agreement number 01EA1411A). Mariam Molokhia’s research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. We also thank the countless individuals who have contributed to GBD 2016 in various capacities.
Published: 2018

215. Child undernutrition and its association with household environmental conditions in Bangladesh.

Author: Khan MMA, Billah MA, Fatima K, Islam MM, Sarker BK, Khanam SJ, Banke-Thomas A, and Khan MN
Abstract: Objectives: Child undernutrition among under 5 aged children is a prevalent global issue, especially in Bangladesh. This study aimed to explore relationships of household environmental conditions (HECs) with child under-nutrition in Bangladesh, with a specific focus on rural-urban differences., Design: We analysed children's data from the 2017/18 Bangladesh Demographic Health Survey (BDHS). The outcome variable considered were measures of child under-nutrition, including stunting, wasting, and underweight. The major exposure variable considered was indicators of HECs. We used a hierarchical Poisson regression model to explore the association between outcomes and exposures adjusted for potential confounders., Setting: Nationally representative cross-sectional survey., Participants: 8,057 under-5 aged children., Results: The prevalence of stunting, wasting and underweight in Bangladesh was 31%, 8% and 22%, respectively, with significant urban-rural variations. Under-5 children who lived in houses constructed with unimproved materials (aRR: 1.17), exposed to household air pollution (HAP) (aPR: 1.37), had unimproved drinking water sources (aPR: 1.28), or had poor handwashing facilities (aPR: 1.24) had a greater likelihood of stunting compared to their counterparts. Similar associations were observed for underweight. The likelihood of stunting and underweight increased with increasing scores of poor HECs, varying significantly across urban-rural areas., Conclusion: The high prevalence of stunting and underweight in Bangladesh is linked to poor HECs. Therefore, policies and programs aimed at reducing child undernutrition need to account for household environmental conditions, with a particular focus on children in poor household environments.
Published: 2024
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216. Menstrual hygiene management among reproductive-aged women with disabilities in Bangladesh.

Author: Khan MN, Khanam SJ, Chowdhury AR, Hossain R, Kabir MA, and Alam MB
Abstract: Background: Women with disabilities in low- and middle-income countries face unique challenges in managing menstruation, affecting their health, dignity, and quality of life., Aim: This study aimed to explore menstrual hygiene management (MHM) practices among reproductive-aged women with disabilities in Bangladesh and its impact on social participation., Methods: We analyzed data from 51,535 women from the 2019 Multiple Indicator Cluster Survey (MICS). The outcome variables were: (i) material used to manage blood flow while menstruating (appropriate, inappropriate), (ii) availability of a private place for washing and changing menstruation rags (yes, no), and (iii) impact on attendance of social activities, school, or work during menstruation (yes, no). Disability status was considered as a major explanatory variable and categorized as no disabilities, moderate disabilities, and severe disabilities. Associations of outcome variables with explanatory variables were determined using a multilevel mixed-effects binary logistic regression model adjusted for individual-level factors, household-level factors, and community-level factors., Results: Among the sample, 2.7% reported severe disability and 19.2% moderate disabilities, with vision-related disabilities (12.2%) being the most prevalent, followed by cognitive (9.5%) and walking disabilities (8.2%). Overall, 4% reported using inappropriate materials for menstrual flow, rising to 8.0% among those with severe disabilities and 5.8% for moderate disabilities. Women with moderate to severe disabilities had 33%-47% lower odds of using appropriate materials and 34%-44% lower odds of having a private place to change at home. Additionally, women with severe disabilities were 1.66 times more likely to report that menstruation impacted their social activities., Conclusion: Women with disabilities in Bangladesh face significant barriers to effective MHM. Addressing these issues requires targeted interventions, including disability-inclusive menstrual health education, improved access to menstrual products and sanitation facilities, and community initiatives to reduce stigma., Competing Interests: The authors declare no conflict of interest., (© 2024 The Author(s). Health Science Reports published by Wiley Periodicals LLC.)
Published: 2024
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217. Pattern of contraceptive use among reproductive-aged women with disabilities in Bangladesh: Evidence from multiple indicator cluster survey 2019.

Author: Alam MB, Rana MS, Kabir MA, Khanam SJ, and Khan MN
Subjects: Humans, Female, Bangladesh epidemiology, Adult, Young Adult, Adolescent, Middle Aged, Family Planning Services statistics & numerical data, Surveys and Questionnaires, Pregnancy, Disabled Persons statistics & numerical data, Contraception Behavior statistics & numerical data, Contraception statistics & numerical data, Contraception methods
Abstract: Background: Contraception is crucial for reproductive-aged women with disabilities, empowering them to manage reproductive choices and enhancing overall health, autonomy, and well-being., Objective: The objective of this study was to examine the usage patterns of contraceptive methods among reproductive-aged women with disabilities in Bangladesh., Methods: We analyzed data from 47,465 reproductive-aged women from the 2019 Bangladesh Multiple Indicator Cluster Survey. Outcome variables included contraceptive usage patterns, grouped into any contraceptive methods, any modern contraceptive methods, and any traditional contraceptive methods. The primary explanatory variable considered was disabilities level (women with no disabilities, women with moderate disabilities, and women with severe disabilities), along with types of disabilities. A multilevel mixed-effects logistic regression model was used to assess associations between outcomes and explanatory variables while accounting for confounding., Results: The prevalence of any contraceptive methods use was 66.4 %, declining to 54 % among women with severe disabilities. The odd of modern contraception use was 31 % lower (aOR, 0.69, 95 % CI, 0.65-0.73) among women with moderate disabilities and 47 % lower (aOR, 0.53, 95 % CI, 0.47-0.60) among those with severe disabilities, compared to women with no disabilities. Within the individual domains of disabilities, those with vision, walking, cognitive, and self-care-related disabilities reported lower odds of modern contraception uptake than those with no disabilities., Conclusions: The study highlights that women with disabilities use contraceptives less often, increasing vulnerability to unintended and short interval pregnancies and unsafe abortion. Strengthening family planning and prioritizing women with disabilities for modern contraceptives are vital., Competing Interests: Declaration of competing interest The authors have no conflicts of interest to declare., (Copyright © 2024 Elsevier Inc. All rights reserved.)
Published: 2024
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218. Exploring the impact of perceived early marriage on women's education and employment in Bangladesh through a mixed-methods study.

Author: Khan MN, Khanam SJ, Khan MMA, Billah MA, and Akter S
Subjects: Humans, Female, Bangladesh, Adolescent, Young Adult, Adult, Socioeconomic Factors, Marriage psychology, Employment, Educational Status
Abstract: Child marriage negatively affects women's socio-economic empowerment, particularly in education and employment. This study aimed to explore women' perspectives on the timing of their marriages, considering their educational and employment status at the time. It also sought to identify factors influencing early married women's perception of their marriages as timely. We analyzed both quantitative and qualitative data. The quantitative data included a sample of 5,596 women aged 15-24 from the 2017/18 Bangladesh Demographic and Health Survey. Additionally, we collected qualitative data through six in-depth interviews, two focus group discussions, and 13 key informant interviews. We used a multilevel mixed-effects Poisson regression model to examine the relationship between women's formal employment, education, and child marriage. Thematic analysis was employed for the qualitative data. Around 62% of the total women analysed reported their married occurred early with the mean age at marriage was 15.2 years. Approximately 55% of the total early married women believed their marriages occurred at the right time, especially among those who were employed at the time of their marriage. Among this subset, we also noticed a higher likelihood of discontinuing work and education following marriage. Qualitative findings revealed reasons behind this perception, such as escaping poverty, safety concerns, limited job prospects, and the impact of non-marital relationship and societal norms. While many early-married women perceived their marriage as timely, particularly those initially employed, this decision often coincides with a subsequent withdrawal from work and education. This underscores the pressing need for policies and programs aimed at educating women about the legal age for marriage and the negative consequences associated with early marriage while also equipping them with knowledge and resources for informed decision-making., (© 2024. The Author(s).)
Published: 2024
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219. Factors associated with essential newborn care practices among non-institutional births in urban Bangladesh: evidence from Bangladesh Urban Health Survey 2021.

Author: Khanam SJ, Begum MF, Alam MB, Kabir MA, and Khan MN
Subjects: Humans, Bangladesh epidemiology, Female, Infant, Newborn, Adult, Young Adult, Adolescent, Socioeconomic Factors, Infant Care statistics & numerical data, Pregnancy, Male, Urban Population statistics & numerical data, Health Surveys
Abstract: Background: Non-institutional births remain prevalent in low- and middle-income countries, associated with a majority of adverse maternal and child health outcomes, including maternal and child mortality. Ensuring essential newborn care (ENC) practices for these non-institutional births is crucial for reducing these adverse outcomes. This study aimed to identify the prevalence, and factors associated with the adoption of ENC practices among non-institutional births in urban Bangladesh., Methods: A total of 2,165 children's data were analyzed, extracted from the 35,186 ever-married women interviewed in the 2021 Bangladesh Urban Health Survey. Six ENC components and their level (lowest/none, moderate, and highest) were considered as the outcome variables. Several socio-demographic factors were considered as the explanatory variables. Multivariate binary and multinomial logistic regression model were used to explore the association between outcome and explanatory variables., Results: Approximately 49% of all mothers reported practicing the highest level of ENC. Among the individual components, the highest adherence was observed for the use of a disinfected instrument to cut the umbilical cord (90%). The likelihood of adopting the highest level of ENC practices was higher among mothers with relatively higher education and wealth quintiles and lower among those residing in slum and other urban areas of city corporations compared to non-slum areas. Mothers living in the Khulna and Sylhet divisions had a lower likelihood of adopting the highest level of ENC practices., Conclusion: Awareness building programs are needed to educate the population, particularly mothers, about the importance of practicing ENC for improving maternal and child health outcomes.
Published: 2024
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220. Comparison of two survey methods for estimating unplanned pregnancy, Bangladesh.

Author: Khan MN, Khanam SJ, and Harris ML
Subjects: Humans, Female, Bangladesh epidemiology, Pregnancy, Adult, Cross-Sectional Studies, Young Adult, Adolescent, Health Surveys, Prevalence, Socioeconomic Factors, Middle Aged, Sociodemographic Factors, Pregnancy, Unplanned
Abstract: Objective: To compare the prevalence of unintended pregnancy measured by the Demographic and Health Survey (DHS) and the London Measure of Unplanned Pregnancy in Bangladesh, and explore the extent of discordance between the measures and the factors associated with the discordance., Methods: In 2023, we conducted a cross-sectional survey in four randomly selected districts in Bangladesh: Kurigram, Mymensingh, Pabna and Satkhira. We randomly selected 20 hospitals, five from each district. We collected data from 1200 women who had recently delivered a baby and were visiting the hospitals for postnatal care. We interviewed the women about their pregnancy intention in their last pregnancy using questions in the DHS and the London Measure of Unplanned Pregnancy and examined the discordance in their responses. We used multivariable logistic regression analysis to identify factors associated with discordant responses in reported pregnancy intention., Findings: The prevalence of unintended pregnancy was 24.3% (292/1200) using the DHS measure and 31.0% (373/1200) using the London Measure of Unplanned Pregnancy. Discordance in responses to pregnancy intention between the two measures was 27.1% (325/1200). Factors associated with discordance were older age, female sex of the last child born, having more than two children, being in a poorer wealth quintile, living in a rural area and living in Kurigram district., Conclusion: The prevalence of unintended pregnancy in Bangladesh measured by the DHS measure may be an underestimate, suggesting that the adverse effects of unintended pregnancy are greater than realized and emphasizing the need to bolster Bangladesh's family planning programme., ((c) 2024 The authors; licensee World Health Organization.)
Published: 2024
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221. Effects of short birth interval on child malnutrition in the Asia-Pacific region: Evidence from a systematic review and meta-analysis.

Author: Khan MN, Harris ML, Hassen TA, Bagade T, Shifti DM, Feyissa TR, and Chojenta C
Subjects: Humans, Asia epidemiology, Growth Disorders epidemiology, Pacific Islands epidemiology, Risk Factors, Child, Birth Intervals statistics & numerical data, Child Nutrition Disorders epidemiology
Abstract: Child malnutrition remains a significant concern in the Asia-Pacific region, with short birth intervals recognised as a potential risk factor. However, evidence of this association is inconclusive. This study aimed to systematically review the existing evidence and assess the summary effects of short birth interval on child malnutrition in the Asia-Pacific region. Five electronic databases were searched in May 2023 to identify relevant studies reporting the association between short birth interval and child malnutrition, including stunting, wasting, underweight, anaemia and overall malnutrition, in Asia-Pacific region between September 2000 and May 2023. Fixed-effects or random-effects meta-analysis was performed to estimate the summary effects of short birth interval on child malnutrition. Out of 56 studies meeting the inclusion criteria, 48 were included in quantitative synthesis through meta-analysis. We found a slightly higher likelihood of stunting (n = 25, odds ratio [OR] = 1.13; 95% confidence interval [CI]: 0.97-1.32) and overall malnutrition (n = 3, OR = 2.42; 95% CI: 0.88-6.65) among children born in short birth intervals compared to those with nonshort intervals, although the effect was not statistically significant. However, caution is warranted due to identified heterogeneity across studies. Subgroup analysis demonstrated significant effects of short birth intervals on child malnutrition in national-level studies and studies with larger sample sizes. These findings underscore short birth intervals as a significant contributor to child malnutrition in the Asia-Pacific region. Implementing effective policies and programs is vital to alleviate this burden, ultimately reducing child malnutrition and associated adverse outcomes, including child mortality., (© 2024 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd.)
Published: 2024
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222. Children's sex composition and modern contraceptive use among mothers in Bangladesh.

Author: Khan MN, Khanam SJ, Billah MA, Khan MMA, and Islam MM
Subjects: Humans, Bangladesh, Female, Adult, Male, Adolescent, Young Adult, Contraception statistics & numerical data, Parity, Middle Aged, Child, Health Surveys, Contraception Behavior statistics & numerical data, Mothers
Abstract: Background: The stagnation and relatively low use of modern contraceptives are ongoing public health concerns in Bangladesh and other low- and middle-income countries. Although a cultural preference for sons may be linked to the current use of contraceptives, this linkage has not been adequately explored in the Bangladesh context. We investigated the effects of child sex composition on the current use of modern contraceptives., Methods: We extracted and analysed data from 17,333 women who participated in the 2017/18 Bangladesh Demographic and Health Survey. The outcome variable was the current use of modern contraceptive methods. The study factor was the parity and sex composition of the living children. We used multilevel logistic regressions to determine the association between the study factor and outcome variables, adjusting for potential covariates at the individual-, household-, and community-levels., Results: Women with relatively high parity had higher odds of currently using modern contraceptives. Among the individual parities, compared to women with no live sons, women with one or more live sons were more likely to report currently using modern contraceptives. However, this association is significant for women up to three children. When examining both parity and children's sex composition in a regression model, in each parity category, the likelihood of using modern contraceptives tend to rise with an increasing number of sons compared to women with just one daughter., Conclusion: The findings of this study suggest that while the use of modern contraceptives by women increases with the increasing number of children and son preference is prevalent in Bangladesh, women also want to have a mixed composition of son and daughter. The study findings can be used in family planning programmes to customise contraceptive promotion and counselling messages., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Khan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2024
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223. Short birth interval in the Asia-Pacific region: A systematic review and meta-analysis.

Author: Hassen TA, Chojenta C, Khan MN, Shifti DM, and Harris ML
Subjects: Humans, Asia epidemiology, Female, Pregnancy, Infant, Newborn, Pacific Islands epidemiology, Birth Intervals statistics & numerical data
Abstract: Background: Short birth interval is associated with an increased risk of adverse health outcomes for mothers and children. Despite this, there is a lack of comprehensive evidence on short birth interval in the Asia-Pacific region. Thus, this study aimed to synthesise evidence related to the definition, classification, prevalence, and predictors of short birth interval in the Asia-Pacific region., Methods: Five databases (MEDLINE, Scopus, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, and Web of Science) were searched for studies published between September 2000 and May 2023 (the last search was conducted for all databases in May 2023). We included original studies published in English that reported on short birth interval in the Asia-Pacific region. Studies that combined birth interval with birth order, used multi-country data and were published as conference abstracts and commentaries were excluded. Three independent reviewers screened the articles for relevancy, and two reviewers performed the data extraction and quality assessment. The risk of bias was assessed using the Joanna Briggs Institute critical appraisal tool. The findings were both qualitatively and quantitatively synthesised and presented., Results: A total of 140 studies met the inclusion criteria for this review. About 58% (n = 82) of the studies defined short birth interval, while 42% (n = 58) did not. Out of 82 studies, nearly half (n = 39) measured a birth-to-birth interval, 37 studies measured a birth-to-pregnancy, four measured a pregnancy-to-pregnancy, and two studies measured a pregnancy loss-to-conception. Approximately 39% (n = 55) and 6% (n = 8) of studies classified short birth intervals as <24 months and <33 months, respectively. Most of the included studies were cross-sectional, and about two-thirds had either medium or high risk of bias. The pooled prevalence of short birth interval was 33.8% (95% confidence interval (CI) = 23.0-44.6, I 2 = 99.9%, P < 0.01) among the studies that used the World Health Organization definition., Conclusions: This review's findings highlighted significant variations in the definition, measurement, classification, and reported prevalence of short birth interval across the included studies. Future research is needed to harmonise the definition and classification of short birth interval to ensure consistency and comparability across studies and facilitate the development of targeted interventions and policies., Registration: PROSPERO CRD42023426975., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)
Published: 2024
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224. Effects of disability on adverse health outcomes and anthropometric deficits among under-five children in South Asian countries: evidence from multiple indicator cluster surveys.

Author: Alam MB, Khanam SJ, Rana MS, Khandaker G, Kabir MA, and Khan MN
Abstract: Background: Children with disabilities face an increased risk of adverse health outcomes and poor anthropometric deficits, although the focus on them is limited in the South Asian context thus far and need newer and more evidence. This study investigates the effects of disability on adverse health outcomes and anthropometric deficits among 2-4 years aged children in South Asian countries., Methods: We analyzed data from 93,180 children aged 2-4 years across Bangladesh, Nepal, Pakistan, and Afghanistan using Multiple Indicator Cluster Surveys (2017-2023). Disability status was the primary exposure, and outcomes included adverse health outcome (acute respiratory infection, diarrhea, fever), anthropometric deficit (stunting, wasting, underweight), and healthcare service sources during adverse health events (care received from skilled healthcare personnel, care received from non-professional personnel, and care received from health facility workers other than skilled healthcare personnel). Using multilevel and multinomial logistic regression models, we examined associations between exposure and outcome variables, adjusting for covariates., Findings: We found average disability prevalence in South Asia was 8.7% (8.3-9.0; n = 8072), varying from 3.4% (3.0-3.8; n = 446) in Bangladesh to 12.3% (11.4-13.3; n = 1259) in Afghanistan. Common health issues included fever (n = 24,982, 26.8%, 26.2-27.4) and diarrhea (n = 14,081, 15.1%, 14.7-15.6), while prevalent poor anthropometric deficits were stunting (n = 39,766, 42.7%, 42.0-43.3) and underweight (n = 22,390, 24.0%, 23.5-24.5). Children with disability had 1.30 (95% CI: 1.21-1.40) to 1.60 (95% CI: 1.47-1.75) times and 1.17 (95% CI: 1.05-1.29) to 1.39 (95% CI: 1.30-1.48) times higher likelihoods of adverse health outcomes and anthropometric deficits, respectively, with variations observed among countries and different disability types. Individuals with disability were 1.16 (95% CI: 1.00-1.35) to 1.26 (95% CI: 1.01-1.58) times more likely to receive healthcare services from skilled healthcare personnel compared to health facility workers other than skilled healthcare personnel., Interpretation: This study findings emphasizes the need for community-level awareness programs to improve anthropometric well-being and healthcare of the children with disability., Funding: This research did not receive any specific funds., Competing Interests: The authors have no conflicts of interest to declare., (© 2024 The Author(s).)
Published: 2024
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225. Availability and readiness of healthcare facilities and their effects on antenatal care services uptake in Bangladesh.

Author: Khan MN, Alam MB, Chowdhury AR, Kabir MA, and Khan MMA
Subjects: Pregnancy, Female, Humans, Bangladesh, Mothers, Delivery of Health Care, Prenatal Care, Health Facilities
Abstract: Background: Sustainable Development Goal (SDG) 3.7 aims to ensure universal access to sexual and reproductive healthcare services, where antenatal care (ANC) is a core component. This study aimed to examine the influence of health facility availability and readiness on the uptake of four or more ANC visits in Bangladesh., Methods: The 2017/18 Bangladesh Demographic and Health Survey data were linked with the 2017 Health Facility Survey and analyzed in this study. The associations of health facility-level factors with the recommended number of ANC uptakes were determined. A multilevel mixed-effect logistic regression model was used to determine the association, adjusting for potential confounders., Results: Nearly 44% of mothers reported four or more ANC uptakes, with significant variations across several areas in Bangladesh. The average distance of mothers' homes from the nearest health facilities was 6.36 km, higher in Sylhet division (8.25 km) and lower in Dhaka division (4.45 km). The overall uptake of the recommended number of ANC visits was positively associated with higher scores for the management (adjusted odds ratio (aOR) 1.85; 95% CI, 1.16-2.82) and infrastructure (aOR, 1.59; 95% CI, 1.09-2.19) of health facilities closest to mothers' homes. The odds of using the recommended number of ANC in mothers increased by 3.02 (95% CI, 2.01-4.19) and 2.36 (95% CI, 2.09-3.16) folds for each unit increase in the availability and readiness scores to provide ANC services at the closest health facilities, respectively. Every kilometer increase in the average regional-level distance between mothers' homes and the nearest health facilities reduced the likelihood of receiving the recommended number of ANC visits by nearly 42% (aOR, 0.58, 95% CI, 0.42-0.74)., Conclusion: The availability of healthcare facilities close to residence, as well as their improved management, infrastructure, and readiness to provide ANC, plays a crucial role in increasing ANC services uptake. Policies and programs should prioritize increasing the availability, accessibility, and readiness of health facilities to provide ANC services., (© 2024. The Author(s).)
Published: 2024
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226. Examining the influence of child nutritional disorders on early childhood development in Bangladesh: insights from the multiple indicator cluster survey.

Author: Khanam SJ and Khan MN
Subjects: Child, Child, Preschool, Humans, Infant, Bangladesh epidemiology, Cross-Sectional Studies, Nutritional Status, Growth Disorders epidemiology, Growth Disorders etiology, Child Development, Nutrition Disorders
Abstract: Objective: The objective of this study was to explore the relationship between various forms of child nutritional disorders and early childhood development in Bangladesh., Design: We analysed data from the nationally representative cross-sectional 2019 Multiple Indicator Cluster Survey. Early childhood development was evaluated using the Early Childhood Development Index (ECDI), which comprised 10 yes-or-no questions across four domains: literacy-numeracy, physical well-being, socio-emotional development, and learning abilities. Nutritional disorders (e.g. stunting, wasting, and underweight) were measured based on the World Health Organization's height and weight guidelines. To investigate the relationships between child development and nutritional disorders, we used multilevel logistic regression models., Setting: Bangladesh., Participants: Data of 9,455 children aged 3 and 4 years., Results: Approximately 38 % of the children analysed experienced a nutritional disorder, with stunting being the most prevalent at 28·15 %. Overall, 25·27 % did not meet expected developmental progress measured by the ECDI. Stunted children were more likely to be off track developmentally, while those without any nutritional disorder were more likely to be on track. Socio-demographic factors, including age, sex, attendance in early childhood education programme, maternal education, maternal functional difficulties, region, and income, were identified as determinants of ECDI., Conclusions: Childhood nutrition and socio-demographic factors significantly affect multiple developmental domains and overall ECDI among children aged 3-4 years. Prioritising policies and programmes that improve nutrition and address these determinants are crucial for fostering optimal development in children.
Published: 2024
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227. Clustering of home delivery in Bangladesh and its predictors: Evidence from the linked household and health facility level survey data.

Author: Fatima K, Khanam SJ, Rahman MM, Kabir MI, and Khan MN
Abstract: Around half of births in Bangladesh occur at home without skilled birth personnel. This study aims to identify the geographical hot spots and cold spots of home delivery in Bangladesh and associated factors. We analyzed data from the 2017/2018 Bangladesh Demographic and Health Survey and the 2017 Bangladesh Health Facility Survey. The outcome variable was home delivery without skilled personnel supervision (yes, no). Explanatory variables included individual, household, community, and healthcare facility level factors. Moran's I was used to determine hot spots (geographic locations with notably high rates of home delivery) and cold spots (geographic areas exhibiting significantly low rates of home delivery) of home delivery. Geographically weighted regression models were used to identify cluster-specific predictors of home delivery. The prevalence of without skilled personnel supervised home delivery was 53.18%. Hot spots of non-supervised and unskilled supervised home delivery were primarily located in Dhaka, Khulna, Rajshahi, and Rangpur divisions. Cold spots of home delivery were mainly located in Mymensingh and Sylhet divisions. Predictors of higher home births in hot spot areas included women's illiteracy, lack of formal job engagement, higher number of children ever born, partner's agriculture occupation, higher community-level illiteracy, and larger distance to the nearest healthcare facility from women's homes. The study findings suggest home delivery is prevalent in Bangladesh. Awareness-building programs should emphasize the importance of skilled and supervised institutional deliveries, particularly among the poor and disadvantaged groups., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Fatima et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2024
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228. Exploring the impact of preconception care and unintended pregnancy on access to antenatal healthcare services among Rohingya women: Insights from a cross-sectional survey.

Author: Khan MN, Khanam SJ, and Alam MB
Abstract: Background: The low utilization of antenatal healthcare services among Rohingya refugee women contributes to high maternal and child mortality rates. The objective of this study was to evaluate the prevalence of antenatal healthcare services utilization and the impacts of preconception care and pregnancy intention on accessing these services among Rohingya refugee women in Bangladesh., Methods: We analyzed data from 708 women collected through a multistage cross-sectional survey conducted in April 2023. The outcome variable was the uptake of at least one antenatal healthcare services, while the exposure variables were preconception care uptake and unintended pregnancy. We used a multivariate logistic regression model to determine the effects of preconception care and unintended pregnancy on antenatal care utilization, adjusting for potential covariates., Results: Approximately 47 % of women reported not accessing any antenatal healthcare services during their most recent pregnancy. Moreover, around 68 % of women did not receive any preconception care, and nearly one-third of pregnancies were unintended at conception. We observed lower likelihoods of antenatal care utilization among women without preconception care or with unintended pregnancy. The negative effects were even more pronounced when women reported no use of preconception care along with experiencing mistimed (aOR, 0.61, 95 % CI: 0.45-0.77) and unwanted (aOR, 0.43, 95 % CI: 0.34-0.52) pregnancy for their most recent pregnancy., Conclusion: Maternal healthcare service utilization is alarmingly low among Rohingya refugees, with a significant lack of preconception care and a high prevalence of unintended pregnancies. This underscores the critical importance of implementing awareness-building programs to increase uptake of antenatal healthcare services., Competing Interests: The authors declare there is no conflict of interests., (© 2024 The Author(s).)
Published: 2024
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229. Improving the uptake of contraception, Somalia.

Author: Khan MN, Khalif IY, Rana MS, Khan MMA, Khanam SJ, and Alam MB
Subjects: Humans, Somalia, Contraception, Family Planning Services
Published: 2024
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230. Association between maternal high-risk fertility behaviour and perinatal mortality in Bangladesh: Evidence from the Demographic and Health Survey.

Author: Khan MN and Harris ML
Subjects: Female, Humans, Pregnancy, Bangladesh epidemiology, Fertility, Infant, Newborn, Perinatal Death, Perinatal Mortality
Abstract: Background: High-risk fertility behaviours including pregnancy early or late in the reproductive life course, higher parity and short birth intervals are ongoing concerns in Low- and Middle-Income Countries (LMICs) such as Bangladesh. Although such factors have been identified as major risk factors for perinatal mortality, there has been a lack of progress in the area despite the implementation of the Millennium and Sustatinable Development Goals. We therefore explored the effects of high-risk maternal fertility behaviour on the occurrence of perinatal mortality in Bangladesh., Methods: A total of 8,930 singleton pregnancies of seven or more months gestation were extracted from 2017/18 Bangladesh Demographic and Health Survey for analysis. Perinatal mortality was the outcome variable (yes, no) and the primary exposure variable was high-risk fertility behaviour in the previous five years (yes, no). The association between the exposure and outcome variable was determined using a mixed-effect multilevel logistic regression model, adjusted for covariates., Results: Forty-six percent of the total births that occurred in the five years preceding the survey were high-risk. After adjusting for potential confounders, a 1.87 times (aOR, 1.87, 95% CI, 1.61-2.14) higher odds of perinatal mortality was found among women with any high-risk fertility behaviour as compared to women having no high-risk fertility behaviours. The odds of perinatal mortality were also found to increase in line with an increasing number of high-risk behaviour. A 1.77 times (95% CI, 1.50-2.05) increase in odds of perinatal mortality was found among women with single high-risk fertility behaviour and a 2.30 times (95% CI, 1.96-2.64) increase in odds was found among women with multiple high-risk fertility behaviours compared to women with no high-risk fertility behaviour., Conclusion: Women's high-risk fertility behaviour is an important predictor of perinatal mortality in Bangladesh. Increased contraceptive use to allow appropriate birth spacing, educational interventions around the potential risks associated with high risk fertility behaviour (including short birth interval) in future pregnacies, and improved continuity of maternal healthcare service use among this population are required to improve birth outcomes in Bangladesh., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Khan, Harris. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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231. The effectiveness of WHO's interpregnancy interval advice.

Author: Khan MN and Khanam SJ
Subjects: Humans, World Health Organization, Birth Intervals
Abstract: Competing Interests: We declare no competing interests.
Published: 2023
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232. Spatial variation in the non-use of modern contraception and its predictors in Bangladesh.

Author: Khan MN and Harris ML
Subjects: Humans, Female, Bangladesh, Biological Transport, Risk Factors, Contraception, Dermatitis
Abstract: This study aimed to investigate spatial variations in the non-use of modern contraception in Bangladesh and identify associated individual, household, and community-level factors. The analysis utilized data from 16,135 women, extracted from the 2017/18 Bangladesh Demographic and Health Survey. The study's main outcome was the prevalence of non-use of modern contraception (yes or no), while the explanatory variables included factors at the individual, household, and community level. To assess geographical heterogeneity in non-use of modern contraception, Moran's I statistics were applied. Additionally, the Gettis-Ord Gi* was calculated to measure spatial autocorrelation differences across various study locations. The relationship between non-use of modern contraception and location was further explored using a geographically weighted regression model at the cluster level. The results indicated that 42.8% (95% CI 41.6-43.8) of respondents reported non-use of modern contraception in Bangladesh, with significant variation across geographical locations (p < 0.001). Hot spots of high non-use were predominantly identified in the Sylhet, Barishal, and some areas of the Chattogram divisions, while cold spots of low use were concentrated in the Rangpur, Mymensingh, and some areas Rajshahi divisions. Notably, the likelihood of non-use was highest among women and partners with low levels of education. The analysis of other risk factors, such as partner occupation, community-level illiteracy, and poverty, revealed varying effects on non-use of modern contraception across different locations (clusters) within the country. The study's findings underscore the importance of targeted, area-specific policies and programs aimed at promoting knowledge and uptake of modern contraception in Bangladesh., (© 2023. Springer Nature Limited.)
Published: 2023
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233. Effects of lower tiers of government healthcare facilities on unmet need for contraception and contraception use in Bangladesh.

Author: Khan MN, Khanam SJ, Khan MMA, Islam MM, and Harris ML
Subjects: Humans, Bangladesh, Female, Surveys and Questionnaires, Adult, Health Facilities, Health Services Needs and Demand, Contraception statistics & numerical data, Health Services Accessibility
Abstract: Background: In low- and middle-income countries (LMICs), including Bangladesh, modern contraception use remains lower than desired, resulting in a higher unmet need. A potential factor contributing to lower contraceptive use is reduced access to and use of lower tiers of government healthcare facilities, including home visits by family welfare assistants (FWAs), as well as women's visits to community and satellite clinics. These relationships, however, are still unexplored in Bangladesh and LMICs more broadly. The aim of this study was to explore the effects of lower tiers of government healthcare facilities on unmet needs for contraception and contraception use in Bangladesh., Methods: Data from 17,585 sexually active married women were analyzed from the 2017 Bangladesh Demographic and Health Survey. The outcome variables were any contraceptive use, modern contraceptive use, unmet need for contraception, and unmet need for modern contraception. The explanatory variables considered were respondents' home visits by FWAs, respondents' visits to a community clinic, and respondents' visits to a satellite clinic. Multilevel mixed-effect Poisson regression with robust variance was used to determine the association between the outcome and explanatory variables, adjusted for individual-, household-, and community-level factors., Results: Approximately 18% of respondents were visited by FWAs in the three months prior to the survey date and only 3.4% and 3.1% of women attended community and satellite clinics, respectively. Women who reported being visited by FWAs in the three months prior to the survey were approximately 36% less likely to report an unmet need for modern contraception and 42% more likely to report using modern contraception than women who did not report such a visit. A higher likelihood of unmet need for contraception and a lower likelihood of contraception use were found among women who did not visit these community or satellite clinics or visited these clinics for other reasons than collecting contraception as compared to women who visited these clinics to collect contraception., Conclusion: Home visits by FWAs to respondents' homes to provide contraception as well as respondents' visits to satellite and community clinics play a major role in Bangladesh to ensure contraception use and reduce the unmet need for contraception. However, their coverage is quite low in Bangladesh. The findings suggest an urgent need for greater government initiatives to increase the number of FWAs and proper monitoring of them at the field level., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Khan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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234. Implications for assessing the association between maternal anaemia and postpartum haemorrhage.

Author: Khan MN
Subjects: Female, Humans, Postpartum Hemorrhage epidemiology, Anemia epidemiology
Abstract: Competing Interests: I declare no competing interests.
Published: 2023
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235. Women's participation in childbearing decision-making and its effects on short-interval births in Rohingya refugee camps of Bangladesh.

Author: Khan MN and Khanam SJ
Abstract: Background: Women's involvement in family planning decision-making is significantly low among refugee women, potentially leading to an increased unintended and short interval pregnancies. This study aims to investigate the relationship between women's decision-making in childbearing and short-interval births among Rohingya refugee women in Bangladesh., Methods: Data from 719 women residing in three Rohingya refugee camps in Ukhiya, Cox's Bazar, Bangladesh, were analyzed. The outcome variable was birth spacing, categorized as short (<33 months between the two most recent births) or normal (≥33 months between the two most recent births). The primary explanatory variable was women's involvement in fertility decision-making with their partner, classified as never, sometimes, and always. Multivariate logistic regression analysis was conducted to assess the association between the outcome and explanatory variable while adjusting for potential covariates., Findings: 58% of births occurred within a short interval, while almost 48% of women reported no participation in fertility decision-making with their partner. Short interval birth was found to be increasing with decreasing women's participation in fertility decision-making with their partner. Women who sometimes or never made fertility decisions with their partner had 1.20 times (95% CI, 1.01-1.88) and 1.69 times (95% CI, 1.06-2.29) higher likelihood of short interval births, respectively, compared to women who always decided with their partner., Interpretation: Low women's participation in fertility decision-making with their partner among Rohingya refugees increases short interval births and adverse maternal and child health outcomes, including mortality. This highlights the need for counselling programs to educate and empower women, promoting joint fertility decision-making by couples., Funding: This research did not receive any specific funds., Competing Interests: All authors declare no competing interests., (© 2023 The Author(s).)
Published: 2023
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236. Loneliness and trust issues reshape mental stress of expatriates during early COVID-19: a structural equation modelling approach.

Author: Billah MA, Akhtar S, and Khan MN
Subjects: Humans, Male, Female, Adult, Pandemics, Latent Class Analysis, Stress, Psychological, Loneliness, COVID-19
Abstract: Objectives: To explore relationship among perceived stress regarding loneliness, interpersonal trust and institutional trust of expatriates during the early COVID-19 period (from 30 th March to 30 th May 2020)., Methods: Data from 21,439 expatriates were extracted from COVIDiSTRESS global survey. The outcome variable was perceived stress. The explanatory variables were age, perceived loneliness, trust (interpersonal and institutional). Pairwise correlation, and structural equation modelling were used to determine relationship among outcome and explanatory variables., Results: The majority of the expatriates were female (73.85%), married (60.20%), had college degree (47.76%), and employed (48.72%). Over 63% of the total expatriates reported that the COVID-19 pandemic changed their lives. The average age of the respondents was 40.4 years (± 13.7), and the average score of perceived stress, loneliness, interpersonal and institutional trust were 25.5, 7.4, 14.2 and 40.4, respectively. We found a moderate correlation of perceived stress with age, perceived loneliness, interpersonal trust and institutional trust (p < 0.001). They were also found moderately related to each other. Structural equation modelling evaluated that a lack of trust can cause loneliness among expatriates, which later lead to perceived stress. Interpersonal trust was more likely to be associated with stress than institutional trust, whereas perceived loneliness mediated between both trusts and perceived stress., Conclusion: Perceived stress can be reduced through trusting others and alleviating the loneliness. Making strong linkage among migrants as well as between migrants and local community is important to ensure proper mental wellbeing of expatriates., (© 2023. The Author(s).)
Published: 2023
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237. Spatial distribution of caesarean deliveries and their determinants in Bangladesh: evidence from linked data of population and health facility survey.

Author: Khan MN, Islam MM, and Akter S
Abstract: Background: Health facility-level factors play a crucial role in women's access to and use of caesarean section (CS) services, but lacks relevant evidence. The study aimed to understand the effects of health facility-level factors on CS delivery in Bangladesh., Methods: The 2017-18 Bangladesh Demographic and Health Survey (2017-18 BDHS) and the 2017 Bangladesh Health Facility Survey (2017 BHFS) were linked and analysed in this study. The sample comprised of 4954 women gave at least one live birth within three years preceding the survey. The outcome variable was delivery through CS (yes, no) and the explanatory variables were health facility-level, individual-level, household-level, and community-level factors. Moran's I and Getis-Ord General G statistic were used to identify the hotspots of delivery through CS. Mixed-effect multilevel logistic regression was used to examine the association of the outcome variable with explanatory variables., Findings: Around 33% of women in Bangladesh underwent CS in their most recent pregnancies. The hotspots of delivery through CS are located primarily in Rajshahi, Dhaka, and Khulna divisions. The likelihood of delivered through CS increased with the rising scores of the management (Adjusted Odds Ratio (AOR), 1.83; 95% CI 1.04-2.07) and infrastructure (AOR, 3.14; 95% CI 1.40-5.12) of the nearest health facility. The readiness of health facilities to provide comprehensive obstetric care was significantly associated with an increased likelihood of delivery through CS (AOR, 2.18; 95% CI 1.15-3.28). These relationships were strong for private than non-government and government health facilities., Interpretation: The proximity of comprehensive obstetric care facilities to women's residences and their readiness to provide services play critical roles in the access to and use of CS in Bangladesh. The findings highlight the importance of necessary healthcare personnel, including midwives, availability of government hospitals where undue CS are avoided, and awareness-building programmes about the adverse effects of CS delivery., Funding: None., Competing Interests: None., (© 2023 The Author(s).)
Published: 2023
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238. Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018.

Author: Haeuser E, Serfes AL, Cork MA, Yang M, Abbastabar H, Abhilash ES, Adabi M, Adebayo OM, Adekanmbi V, Adeyinka DA, Afzal S, Ahinkorah BO, Ahmadi K, Ahmed MB, Akalu Y, Akinyemi RO, Akunna CJ, Alahdab F, Alanezi FM, Alanzi TM, Alene KA, Alhassan RK, Alipour V, Almasi-Hashiani A, Alvis-Guzman N, Ameyaw EK, Amini S, Amugsi DA, Ancuceanu R, Anvari D, Appiah SCY, Arabloo J, Aremu O, Asemahagn MA, Jafarabadi MA, Awedew AF, Quintanilla BPA, Ayanore MA, Aynalem YA, Azari S, Azene ZN, Darshan BB, Babalola TK, Baig AA, Banach M, Bärnighausen TW, Bell AW, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bijani A, Bitew ZW, Bohlouli S, Bolarinwa OA, Boloor A, Bozicevic I, Butt ZA, Cárdenas R, Carvalho F, Charan J, Chattu VK, Chowdhury MAK, Chu DT, Cowden RG, Dahlawi SMA, Damiani G, Darteh EKM, Darwesh AM, das Neves J, Weaver ND, De Leo D, De Neve JW, Deribe K, Deuba K, Dharmaratne S, Dianatinasab M, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Dubljanin E, Duko B, El Tantawi M, El-Jaafary SI, Eshrati B, Eskandarieh S, Eyawo O, Ezeonwumelu IJ, Ezzikouri S, Farzadfar F, Fattahi N, Fauk NK, Fernandes E, Filip I, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gad MM, Gaidhane AM, Gebregiorgis BG, Gebremedhin KB, Getacher L, Ghadiri K, Ghashghaee A, Golechha M, Gubari MIM, Gugnani HC, Guimarães RA, Haider MR, Haj-Mirzaian A, Hamidi S, Hashi A, Hassanipour S, Hassankhani H, Hayat K, Herteliu C, Ho HC, Holla R, Hosseini M, Hosseinzadeh M, Hwang BF, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Islam RM, Iwu CCD, Jakovljevic M, Jha RP, Ji JS, Johnson KB, Joseph N, Joshua V, Joukar F, Jozwiak JJ, Kalankesh LR, Kalhor R, Kamyari N, Kanchan T, Matin BK, Karimi SE, Kayode GA, Karyani AK, Keramati M, Khan EA, Khan G, Khan MN, Khatab K, Khubchandani J, Kim YJ, Kisa A, Kisa S, Kopec JA, Kosen S, Laxminarayana SLK, Koyanagi A, Krishan K, Defo BK, Kugbey N, Kulkarni V, Kumar M, Kumar N, Kusuma D, La Vecchia C, Lal DK, Landires I, Larson HJ, Lasrado S, Lee PH, Li S, Liu X, Maleki A, Malik P, Mansournia MA, Martins-Melo FR, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mestrovic T, Mirica A, Moazen B, Mohamad O, Mohammad Y, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed S, Mohammed S, Mokdad AH, Moradi M, Moraga P, Mubarik S, Mulu GBB, Mwanri L, Nagarajan AJ, Naimzada MD, Naveed M, Nazari J, Ndejjo R, Negoi I, Ngalesoni FN, Nguefack-Tsague G, Ngunjiri JW, Nguyen CT, Nguyen HLT, Nnaji CA, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Olakunde BO, Olusanya BO, Olusanya JO, Bali AO, Onwujekwe OE, Orisakwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, Mahesh PA, Padubidri JR, Pana A, Pandey A, Pandi-Perumal SR, Kan FP, Patton GC, Pawar S, Peprah EK, Postma MJ, Preotescu L, Syed ZQ, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahmani AM, Ramezanzadeh K, Rana J, Ranabhat CL, Rao SJ, Rawaf DL, Rawaf S, Rawassizadeh R, Regassa LD, Rezaei N, Rezapour A, Riaz MA, Ribeiro AI, Ross JM, Rubagotti E, Rumisha SF, Rwegerera GM, Moghaddam SS, Sagar R, Sahiledengle B, Sahu M, Salem MR, Kafil HS, Samy AM, Sartorius B, Sathian B, Seidu AA, Shaheen AA, Shaikh MA, Shamsizadeh M, Shiferaw WS, Shin JI, Shrestha R, Singh JA, Skryabin VY, Skryabina AA, Soltani S, Sufiyan MB, Tabuchi T, Tadesse EG, Taveira N, Tesfay FH, Thapar R, Tovani-Palone MR, Tsegaye GW, Umeokonkwo CD, Unnikrishnan B, Villafañe JH, Violante FS, Vo B, Vu GT, Wado YD, Waheed Y, Wamai RG, Wang Y, Ward P, Wickramasinghe ND, Wilson K, Yaya S, Yip P, Yonemoto N, Yu C, Zastrozhin MS, Zhang Y, Zhang ZJ, Hay SI, and Dwyer-Lindgren L
Subjects: Male, Female, Adult, Humans, Pregnancy, Adolescent, Young Adult, Middle Aged, HIV, Prevalence, Seroepidemiologic Studies, Africa South of the Sahara epidemiology, Acquired Immunodeficiency Syndrome epidemiology, HIV Infections prevention & control
Abstract: Background: Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. Age- and sex-specific HIV prevalence estimates are widely available at the national level, and region-wide local estimates were recently published for adults overall. We add further dimensionality to previous analyses by estimating HIV prevalence at local scales, stratified into sex-specific 5-year age groups for adults ages 15-59 years across SSA., Methods: We analyzed data from 91 seroprevalence surveys and sentinel surveillance among antenatal care clinic (ANC) attendees using model-based geostatistical methods to produce estimates of HIV prevalence across 43 countries in SSA, from years 2000 to 2018, at a 5 × 5-km resolution and presented among second administrative level (typically districts or counties) units., Results: We found substantial variation in HIV prevalence across localities, ages, and sexes that have been masked in earlier analyses. Within-country variation in prevalence in 2018 was a median 3.5 times greater across ages and sexes, compared to for all adults combined. We note large within-district prevalence differences between age groups: for men, 50% of districts displayed at least a 14-fold difference between age groups with the highest and lowest prevalence, and at least a 9-fold difference for women. Prevalence trends also varied over time; between 2000 and 2018, 70% of all districts saw a reduction in prevalence greater than five percentage points in at least one sex and age group. Meanwhile, over 30% of all districts saw at least a five percentage point prevalence increase in one or more sex and age group., Conclusions: As the HIV epidemic persists and evolves in SSA, geographic and demographic shifts in prevention and treatment efforts are necessary. These estimates offer epidemiologically informative detail to better guide more targeted interventions, vital for combating HIV in SSA., (© 2022. The Author(s).)
Published: 2022
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239. Availability and readiness of healthcare facilities and their effects on long-acting modern contraceptive use in Bangladesh: analysis of linked data.

Author: Khan MN, Akter S, and Islam MM
Subjects: Bangladesh, Child, Child, Preschool, Female, Health Facilities, Human Rights, Humans, Pregnancy, Semantic Web, Contraceptive Agents therapeutic use, Health Services Accessibility
Abstract: Aim: Increasing access to long-acting modern contraceptives (LMAC) is one of the key factors in preventing unintended pregnancy and protecting women's health rights. However, the availability and accessibility of health facilities and their impacts on LAMC utilisation (implant, intrauterine devices, sterilisation) in low- and middle-income countries is an understudied topic. This study aimed to examine the association between the availability and readiness of health facilities and the use of LAMC in Bangladesh., Methods: In this survey study, we linked the 2017/18 Bangladesh Demographic and Health Survey data with the 2017 Bangladesh Health Facility Survey data using the administrative-boundary linkage method. Mixed-effect multilevel logistic regressions were conducted. The sample comprised 10,938 married women of 15-49 years age range who were fertile but did not desire a child within 2 years of the date of survey. The outcome variable was the current use of LAMC (yes, no), and the explanatory variables were health facility-, individual-, household- and community-level factors., Results: Nearly 34% of participants used LAMCs with significant variations across areas in Bangladesh. The average scores of the health facility management and health facility infrastructure were 0.79 and 0.83, respectively. Of the facilities where LAMCs were available, 69% of them were functional and ready to provide LAMCs to the respondents. The increase in scores for the management (adjusted odds ratio (aOR), 1.59; 95% CI, 1.21-2.42) and infrastructure (aOR, 1.44; 95% CI, 1.01-1.69) of health facilities was positively associated with the overall uptake of LAMC. For per unit increase in the availability and readiness scores to provide LAMC at the nearest health facilities, the aORs for women to report using LAMC were 2.16 (95% CI, 1.18-3.21) and 1.74 (95% CI, 1.15-3.20), respectively. A nearly 27% decline in the likelihood of LAMC uptake was observed for every kilometre increase in the average regional-level distance between women's homes and the nearest health facilities., Conclusion: The proximity of health facilities and their improved management, infrastructure, and readiness to provide LAMCs to women significantly increase their uptake. Policies and programs should prioritise improving health facility readiness to increase LAMC uptake., (© 2022. The Author(s).)
Published: 2022
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240. A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh.

Author: Khan MN, Harris ML, Huda MN, and Loxton D
Subjects: Bangladesh epidemiology, Child, Preschool, Contraceptive Agents, Female, Health Facilities, Humans, Information Storage and Retrieval, Pregnancy, Pregnancy, Unplanned, Pregnancy, Unwanted
Abstract: The objective of this study was to investigate the effects of health facility-level factors, including the availability of long-acting modern contraceptives (LAMC) at the nearest health facility and its distance from women's homes, on the occurrence of unintended pregnancy that resulted in a live birth. We analysed the 2017/18 Bangladesh Demographic and Health Survey data linked with the 2017 Bangladesh Health Facility Survey. The weighted sample comprised 5051 women of reproductive age, who had at least one live birth within 3 years of the survey. The outcome variable was women's intention to conceive at their most recent pregnancy that ended with a live birth. The major explanatory variables were the health facility level factors. A multi-level multinomial logistic regression model was used to assess the association of the outcome variable with explanatory variables adjusting for individual, household, and community-level factors. Nearly 21% of the total respondents reported that their most recent live birth was unintended at conception. Better health facility management systems and health facility infrastructure were found to be 14-30% protective of unintended pregnancy that resulted in a live birth. LAMC availability at the nearest health facility was associated with a 31% reduction (95% CI 0.50-0.92) in the likelihood of an unwanted pregnancy that resulted in a live birth. Health facility readiness to provide LAMC was also associated with a 14-16% reduction in unintended pregnancies that ended with a birth. The likelihood of unintended pregnancy that resulted in a live birth increased around 20-22% with the increased distance of the nearest health facility providing LAMC from the women's homes.The availability of health facilities near women's homes and access to LAMC can significantly reduce unintended pregnancy. Policies and programs to ensure access and affordability of LAMC across current health facilities and to increase the number of health facilities are recommended., (© 2022. The Author(s).)
Published: 2022
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241. Women's experience of unintended pregnancy and changes in contraceptive methods: evidence from a nationally representative survey.

Author: Khan MN and Islam MM
Subjects: Contraception, Contraceptive Agents, Female, Humans, Pregnancy, Pregnancy, Unwanted, Contraception Behavior, Pregnancy, Unplanned
Abstract: Background: Ineffective or no use of contraception following an unintended pregnancy contributes to a subsequent unintended pregnancy. This study aimed to determine whether women's experiences of unintended pregnancies affect changing their contraceptive using patterns., Methods: We analysed the 2017/2018 Bangladesh Demographic and Health Survey data. The contraceptive switching pattern was computed by comparing women's contraceptives using data before and after pregnancy. Women were categorised into the following three groups, depending on their patterns of contraceptive use before and after pregnancy: no change, if there were no change in contraceptive using pattern; switched to higher effective contraceptives, if changed from pre-pregnancy less effective contraceptives to post-pregnancy more effective contraceptives; switched to less effective contraceptives, if changed from pre-pregnancy more effective contraceptives to post-pregnancy less effective contraceptives. Women's intention in the most recent pregnancy was our primary explanatory variable, classified as wanted, mistimed and unwanted. Multinomial multilevel logistics regression was used to determine the association between women's intention in the most recent pregnancy and women's contraceptive methods switching patterns from before to after pregnancy., Results: Around 20% of the most recent pregnancies that ended with a live birth were unintended at conception. No contraceptive use was reported by 37% of women before their pregnancies which decreased to 24% after pregnancies. Overall, around 54% of women who reported no contraceptive use before pregnancy used modern contraceptives after pregnancy. The rate was higher among women who experienced unwanted pregnancy (73.4%) than mistimed (58.8%) and wanted (53.4%) pregnancy. Experience of mistimed pregnancy was associated with a higher likelihood of no contraceptive change (aOR, 1.84, 95% CI 1.41-2.39) and switching to less effective contraceptives (aOR, 1.58, 95% CI 1.10-2.26) than switching to more effective contraceptives. However, unwanted pregnancy was not associated with any significant change in contraceptives use from before to after pregnancy., Conclusion: Experience of unintended pregnancy did not change women's contraception using patterns, which indicates the risk of repeat unintended pregnancies and associated adverse consequences, including maternal and child morbidity and mortality. Policies to ensure access to and use of modern contraceptives among women facing unwanted or mistimed pregnancies are recommended., (© 2022. The Author(s).)
Published: 2022
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242. Pattern of contraceptive use among reproductive-aged women with diabetes and/or hypertension: findings from Bangladesh Demographic and Health Survey.

Author: Khan MN, Islam MM, and Islam RM
Subjects: Adult, Bangladesh epidemiology, Child, Contraception, Contraception Behavior, Contraceptive Agents, Demography, Family Planning Services, Female, Humans, Male, Pregnancy, Socioeconomic Factors, Diabetes Mellitus epidemiology, Hypertension epidemiology
Abstract: Background: The prevalence of chronic conditions such as diabetes and hypertension is increasing among reproductive-aged women in Bangladesh. However, the pattern of contraceptive use among this population remains unknown. We, therefore, explored the pattern of contraceptive use among reproductive-aged women with diabetes and/or hypertension in Bangladesh., Methods: We extracted and analysed data of 3,947 women from the 2017/18 Bangladesh Demographic and Health Survey. Women's pattern of contraceptive use was our outcome variable. We first classified the contraceptive using status as no method use, traditional method use (periodic abstinence, withdrawal, other traditional) and modern method use (pill, intra-uterine device, injections, male condom, female sterilization, male sterilization). We later classified these as (i) no contraceptive use vs any contraceptive use, (ii) traditional method or no use vs modern method use, (iii) traditional method vs modern method use. The explanatory variables were diagnosis of diabetes only, hypertension only or both diabetes and hypertension. The multilevel Poisson regression with robust variance was used to explore the associations., Results: The overall prevalence of contraceptive use was 68.0% (95% CI 66.3-69.7). The corresponding prevalences were 69.4% (95% CI 61.8-76.1) in women with diabetes only, 67.3% (95% CI 63.5-70.9) with hypertension only, and 62.0% (95% CI 52.8-70.4) in women having both diabetes and hypertension. The prevalence of modern methods of contraceptive use was lower (46.4%, 95% CI 37.4-55.6) and traditional methods use was higher (16.6%, 95% CI 13.8-16.8) in women who had both diabetes and hypertension than in women who did not have these conditions. The fully adjusted regression model showed that the prevalence of traditional method use was 31% (Prevalence ratio: 1.31, 95% CI 1.02-2.01) higher in women having both diabetes and hypertension compared with their counterparts who had none of these conditions., Conclusion: In Bangladesh, women with both diabetes and hypertension were more likely to use traditional contraception methods. These women are likely to experience increased risks of unwanted pregnancies and associated adverse maternal and child health outcomes. Targeted policies and programs should be undertaken to promote modern contraceptive use among women living with both chronic conditions., (© 2022. The Author(s).)
Published: 2022
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243. Barriers to male condom use in Rohingya refugee camps in Bangladesh: A qualitative study.

Author: Islam MM, Rahman MM, and Khan MN
Abstract: Background: Rohingya people are often called the most persecuted minority in the world. Currently, almost 800,000 Rohingya refugees live in temporary shelters in Cox's Bazar, Bangladesh. More than one-quarter of them are women and girls of reproductive age who are at increased risk of unplanned pregnancies, unsafe abortions and related complications. However, the use of contraception remains inadequate, and particularly use of condoms and male participation is scarce. This study examines the barriers to condom use as a contraceptive method among married Rohingya couples., Methods: We conducted in-depth qualitative interviews of married Rohingya men and women and thematically analysed the data., Findings: Depo Provera injections and pills are the dominant forms of contraception. Men's participation in family planning and contraceptive use is rare, and so is the use of condoms. Participants identified several barriers to condom use, including contraception being the responsibility of the women, socio-cultural issues, the stigma attached to condoms, unfamiliarity with condoms, the limitations of condoms, and issues of security in conjugal life. Health workers do not promote condoms in the same way as other contraceptive methods., Interpretation: Condom use and men's participation in contraception use are rare in Rohingya camps. The involvement of family planning workers who are males may help to promote the use of condoms and increase the method-mix options of contraceptives., Funding: La Trobe University, Melbourne, Australia., Competing Interests: All other authors declare no competing interests., (© 2022 The Author(s).)
Published: 2022
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244. Exploring rise of pregnancy in Bangladesh resulting from contraceptive failure.

Author: Khan MN and Islam MM
Subjects: Abortion, Induced statistics & numerical data, Adolescent, Adult, Bangladesh epidemiology, Condoms statistics & numerical data, Contraception instrumentation, Female, Humans, Male, Pregnancy Complications epidemiology, Program Evaluation, Young Adult, Contraception methods, Contraceptive Effectiveness statistics & numerical data, Pregnancy statistics & numerical data
Abstract: The objective of this study was to determine how changes in pre-pregnancy contraceptive methods used between 2011 and 2017/18 contributed to the changes in pregnancy resulting from contraceptive methods failure in Bangladesh. We used 2011 and 2017/18 Bangladesh Demographic and Health Survey data. Pre-pregnancy contraceptive methods failure was our outcome of interest, which was determined using women's response about whether they became pregnant while using contraceptives before the most recent pregnancy. The year of the survey was the main explanatory variable. Descriptive statistics were used to describe the characteristics of the respondents. The difference in contraceptive methods failure across the socio-demographic characteristics was assessed by Chi-squared test. Multilevel poison regressions were used to determine the changes in the prevalence ratio of contraceptive methods failure across the survey years. Contraceptive methods failure rate increased between the surveys, from 22.8% in 2011 to 27.3% in 2017/18. Also, male condom use increased by 2.8%, while withdrawal/periodic abstinence and/or other methods decreased by 2.9%. The failure rates in these two categories of contraceptive methods increased substantially by 4.0% and 9.0%, respectively. Compared to the 2011 survey, the prevalence ratio (PR) of contraceptive methods failure was 20% (PR 1.2, 95% CI 1.1-1.3) high in the 2017/18 survey. This PR declined 13% (PR 1.1, 95% CI 1.04-1.2) once the model was adjusted for women's and their partner's characteristics along with the last contraceptives used. This study provides evidence of increasing rates of pregnancy due to contraceptive failure in Bangladesh. Given that this type of pregnancy is known to cause adverse pregnancy outcomes, including abortion, pregnancy complications, maternal and early child morbidity and mortality, policy and programs are needed to reduce its prevalence. Effective coordination between the contraception providers at the healthcare facilities and the households and a proactive role of family planning workers to make couples aware of the effective use of contraceptives are recommended., (© 2022. The Author(s).)
Published: 2022
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245. Factors affecting child marriage and contraceptive use among Rohingya girls in refugee camps.

Author: Islam MM, Khan MN, and Rahman MM
Abstract: Background: Rohingya girls living in the refugee camps in Bangladesh are disproportionately vulnerable to child marriages and teenage pregnancies. This study examines the factors affecting child marriage and contraceptive use among Rohingya girls who have experienced child marriages. Methods: We collected and analysed quantitative and qualitative data from adolescent Rohingya girls (age 10-19 years) who experienced child marriages. The quantitative data (n=96) came from a cross-sectional survey, and the qualitative data (n=18) from in-depth interviews conducted in the world's largest refugee camp located in Cox's Bazar, Bangladesh. We also interviewed service providers (n=9) of reproductive healthcare services to gain their perspectives regarding contraceptive use among these young girls. We used descriptive statistics to characterise the girls' demographic profiles, ages at their first marriages, and contraceptive use. Thematic analysis was used for the qualitative data to identify key factors influencing child marriage and contraceptive use among these girls. Findings: On average, the adolescent female participants had been 15.7 years old when they were first married. Over 80% had given birth during the two years before the survey or were pregnant during time of the data collection. The main factors that influenced child marriage were found to be perceptions regarding the physical and mental maturity for marriage, social norms, insecurity, family honour, preferences for younger brides and the relaxed enforcement of the minimum legal age for marriage. A third (34%) of the girls said they were using contraceptives on the week when the study was conducted. The desire for children, religious beliefs, misapprehension about contraception and long waiting periods in facility-based health services and current service provision were the main factors influencing contraceptive use. Depo Provera injections and pills were the dominant methods of contraception. Contraceptive use during the period between marriage and the first childbirth is rare. Interpretation: Girl child marriage is common in Rohingya camps. Contraceptive use is rare among newly married girls before they give birth for the first time. The involvement of female and male Rohingya volunteers for outreach services can be catalytic in promoting contraceptive use. Funding: La Trobe Asia, La Trobe University, Melbourne, Australia. Bengali translation of the abstract in Appendix 1 ., Competing Interests: All other authors declare no competing interests., (© 2021 The Author(s). Published by Elsevier Ltd.)
Published: 2021
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246. Effect of unintended pregnancy on skilled antenatal care uptake in Bangladesh: analysis of national survey data.

Author: Khan MN, Harris ML, Oldmeadow C, and Loxton D
Abstract: Background: Around 48% of all pregnancies in low- and middle-income countries are unintended. Unintended pregnancy may contribute to lower use of antenatal care (ANC); however, current research in the area is largely inconclusive due to the methodological approaches applied., Methods: Responses from 4493 women extracted from the 2014 Bangladesh Demographic and Health Survey (BDHS) were used to assess the association between unintended pregnancy and subsequent uptake of at least one and at least four skilled ANC visits. For this, Bayesian multilevel logistic regression models with informative priors (representing a range of values within which the researcher is certain the true effect of the parameters included lies) were used, adjusting for other factors that affect ANC uptake. Informative priors were selected from the BDHS data collected in 2004, 2007, and 2011., Results: Around 64% of women in Bangladesh who had at least one pregnancy within 3 years prior to the survey (that ended in a live birth) received ANC at least once, and of these around 32% used ANC at least four times. Mistimed (aOR, 0.73, 95% Cred I, 0.66-0.81) and unwanted (aOR, 0.69, 95% Cred I, 0.64-0.75) pregnancy were associated with reduced odds of attending the recommended minimum of four skilled ANC visits compared with wanted pregnancy. These likelihoods were even lower for at least one skilled ANC visit among women with a mistimed (aOR, 0.59, 95% Cred I, 0.53-0.65) or an unwanted pregnancy (aOR, 0.67, 95% Cred I, 0.61-0.74) than women with a wanted pregnancy., Conclusions: In Bangladesh, more than one-quarter of women who report an unintended pregnancy at conception and do not terminate the pregnancy are at high risk of not using ANC. It is important for policies to include women with unintended pregnancy in mainstream healthcare services. This will increase the use of ANC and reduce associated adverse consequences., Competing Interests: Competing interestsNone., (© The Author(s) 2020.)
Published: 2020
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247. Modern Contraceptive Use Following an Unplanned Birth in Bangladesh: An Analysis of National Survey Data.

Author: Khan MN, Harris M, and Loxton D
Subjects: Adolescent, Adult, Bangladesh, Female, Humans, Middle Aged, Pregnancy, Pregnancy, Unwanted, Socioeconomic Factors, Surveys and Questionnaires, Young Adult, Contraception Behavior psychology, Contraception Behavior statistics & numerical data, Pregnancy, Unplanned psychology
Abstract: Context: Ineffective use or nonuse of contraceptives following an unplanned birth can contribute to the risk of a subsequent unintended pregnancy; however, the literature on the relationship between unintended pregnancy and postpartum contraceptive use is sparse, especially in low- and middle-income countries., Methods: Data on 4,493 women from the 2014 Bangladesh Demographic and Health Survey were analyzed; the subjects of the analysis had had a live birth in the three years prior to the survey and were currently at risk of pregnancy. Multilevel logistic regression analysis was used to examine associations between the intendedness of a woman's last pregnancy resulting in a live birth and her current modern contraceptive use adjusting for individual, household and community-level variables., Results: Twenty-six percent of women reported that their last pregnancy resulting in a live birth had been unintended (15% mistimed and 11% unwanted); 61% reported current use of a modern contraceptive method. Compared with women who reported the pregnancy as having been wanted, those who reported the pregnancy as mistimed had greater odds of current modern contraceptive use (odds ratio, 1.6); no association was found between having had an unwanted pregnancy and subsequent modern contraceptive use. Other important correlates of modern contraceptive use included women's autonomy and desire for children, time since last birth and community-level poverty., Conclusions: Bangladeshi women who experience an unwanted pregnancy may have an elevated risk of subsequent unintended pregnancy. Broader coverage of family planning services, and integration of family planning with maternal health care, may increase modern contraceptive use following an unplanned birth.
Published: 2020
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248. Effects of unintended pregnancy on maternal healthcare services utilization in low- and lower-middle-income countries: systematic review and meta-analysis.

Author: Khan MN, Harris ML, Shifti DM, Laar AS, and Loxton D
Subjects: Adult, Case-Control Studies, Cross-Sectional Studies, Female, Humans, Odds Ratio, Patient Acceptance of Health Care psychology, Poverty psychology, Pregnancy, Prenatal Care psychology, Prospective Studies, Retrospective Studies, Facilities and Services Utilization statistics & numerical data, Maternal Health Services statistics & numerical data, Patient Acceptance of Health Care statistics & numerical data, Perinatal Care statistics & numerical data, Poverty statistics & numerical data, Pregnancy, Unplanned psychology, Prenatal Care statistics & numerical data
Abstract: Objectives: To examine the association between unintended pregnancy and maternal healthcare services utilization in low- and lower-middle-income countries., Methods: A systematic literature search of Medline, Cinahl, Embase, PsycINFO, Cochrane Library, Popline, Maternity and Infant Care, and Scopus databases published since the beginning of the Millennium Development Goals (i.e. January 2000) to June 2018 was performed. We estimated the pooled odds ratios using random effect models and performed subgroup analysis by participants and study characteristics., Results: A total of 38 studies were included in the meta-analysis. Our study found the occurrence of unintended pregnancy was associated with a 25-39% reduction in the use of antenatal, delivery, and postnatal healthcare services. Stratified analysis found the differences of healthcare services utilization across types of pregnancy unintendedness (e.g. mistimed, unwanted)., Conclusions: Integrating family planning and maternal healthcare services should be considered to encourage women with unintended pregnancies to access maternal healthcare services.
Published: 2019
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249. Socioeconomic and Demographic Disparities in Knowledge of Reproductive Healthcare among Female University Students in Bangladesh.

Author: Islam Mondal MN, Nasir Ullah MM, Khan MN, Islam MZ, Islam MN, Moni SY, Hoque MN, and Rahman MM
Abstract: Background: Reproductive health (RH) is a critical component of women's health and overall well-being around the world, especially in developing countries. We examine the factors that determine knowledge of RH care among female university students in Bangladesh., Methods: Data on 300 female students were collected from Rajshahi University, Bangladesh through a structured questionnaire using purposive sampling technique. The data were used for univariate analysis, to carry out the description of the variables; bivariate analysis was used to examine the associations between the variables; and finally, multivariate analysis (binary logistic regression model) was used to examine and fit the model and interpret the parameter estimates, especially in terms of odds ratios., Results: The results revealed that more than one-third (34.3%) respondents do not have sufficient knowledge of RH care. The χ (2)-test identified the significant (p < 0.05) associations between respondents' knowledge of RH care with respondents' age, education, family type, watching television; and knowledge about pregnancy, family planning, and contraceptive use. Finally, the binary logistic regression model identified respondents' age, education, family type; and knowledge about family planning, and contraceptive use as the significant (p < 0.05) predictors of RH care., Conclusions and Global Health Implications: Knowledge of RH care among female university students was found unsatisfactory. Government and concerned organizations should promote and strengthen various health education programs to focus on RH care especially for the female university students in Bangladesh.
Published: 2015

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