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Background In 2008, 78% of Ghanaian children under 5 years old were anemic versus 48% of children globally. In this study, we identified proximal and distal determinants of severe-moderate anemia and mild anemia related to socioeconomic status, nutrition, and health access. Methods Using data from the 2003, 2008, and 2014 Ghana Demographic and Health Surveys (GDHS), the odds of severe-moderate anemia and mild anemia compared to no anemia, in relation to various hypothesized risk factors, were assessed using a multivariable, multinomial logistic regression, which accounted for survey design. Results From among 7739 households sampled, severe-moderate anemia was found in approximately 52%, 56%, and 40% of children during 2003, 2008, and 2014, respectively. The proportion of children diagnosed as not anemic was 26% in 2003, 22% in 2008, and 33% in 2014. There are large disparities in anemia prevalence among regions and between urban and rural areas. In 2014, children who were younger (aged 6-24 months), had a recent fever, were from poorer families, and whose mothers were less educated had greater odds of being severely-moderately anemic. These results remained significant when controlling for other risk factors. Predictors of anemia in Ghana remained relatively consistent among the three time periods when the GDHS was administered. Conclusions The prevalence of anemia in Ghana among children aged 6-59 months has remained unacceptably high. To reduce anemia in these children, the Ghanaian government should concentrate on educating women through both the traditional school system and antenatal care visits., Author(s): Luke M. Shenton [sup.1] , Andrew D. Jones [sup.2] , Mark L. Wilson [sup.1] Author Affiliations: (1) grid.214458.e, 0000000086837370, Department of Epidemiology, School of Public Health, University of Michigan, [...]

Objectives India has more unvaccinated children than any other country despite provision of free vaccines through the government's Universal Immunization Program. In this study, we calculated the proportion of children aged 12-48 months who were fully vaccinated, under-vaccinated, or who had not received any vaccines. Childhood, household, and sociocultural factors associated with under-vaccination and non-vaccination were evaluated. Methods Using data from India's 4th District-level Health and Facility Survey, 2012-2013 (DLHS-4) and the 2012-2013 Annual Health Survey (AHS), we calculated the proportion of children who were non-vaccinated, under-vaccinated, or fully vaccinated with 1 dose of Bacillus Calmette-Guerin, 3 doses of oral polio vaccine, 3 doses of diphtheria-pertussis- tetanus, and 1 dose of measles- containing vaccine. The odds of full vaccination compared to non-vaccination and under- vaccination relative to various factors was assessed using a multivariable, multinomial logistic regression which accounted for survey design. Results Of 1,929,580 children aged 12-48 months, 59% were fully vaccinated, 34% were under- vaccinated, and 7% were non-vaccinated. Compared to children born in government institutions, children delivered in non- institutional settings with a skilled birth attendant present had higher odds of non-vaccination (OR 1.66) and those without a skilled attendant present had still greater odds of non-vaccination (OR 2.39) and under-vaccination (OR 1.11). Conclusions for Practice India's vaccination rates among children aged 12-48 months remains unacceptably low. The Indian government should encourage institutional delivery or birthing with a skilled attendant to ensure women receive adequate health education through antenatal care that includes the importance of childhood vaccination. Keywords Vaccination coverage * India * Religion * Caste * Antenatal care, Significance Statement Existing literature using DLHS3 data has shown that there are a number of childhood, household, and sociocultural factors associated with non- and under-vaccination of children in India. However, [...]

Purpose: Cancer patients who remain tobacco users have poorer outcomes, including increased mortality and decreased treatment tolerance; however, cessation post-diagnosis is challenging. Our formative research explored cessation-related perspectives among patients and staff at one National Cancer Institute-designated cancer center, to inform improving cessation services within oncology care. Methods: Using a descriptive phenomenological approach, a purposive sample of current cancer patients (n = 13) and cancer center physicians and cessation program staff (n = 9) were recruited to complete one-on-one audio-recorded in-depth qualitative interviews, to explore experiences providing or receiving cessation support, and perspectives on patients' readiness and needs regarding cessation. Thematic coding utilized Green's predisposing, enabling, and reinforcing framework to identify factors having positive, negative, or mixed impact on delivery of best-practices cessation services (ie, 5As) and patient cessation success. Results: Patients identified cancer diagnosis as a wake-up call, existing health problems, persistent healthcare providers, cost of cigarettes, and societal disapproval of smoking as factors facilitating quitting. Futility of quitting after a cancer diagnosis, cost and logistics of program participation, clinician time constraints, and lifetime addiction made quitting harder. Family, friends, stigma and motivation, and pharmacotherapies played mixed roles. Patients felt survivor-focused cessation programs, including stress management, could better enable quitting. Provider-anticipated problems with implementing cessation counseling included so-called "therapeutic nihilism" (ie, pessimism regarding cessation post-diagnosis), lack of training and standardized approaches, and time and documentation burden. Clinicians saw both policies and peer clinician "champions" as potentially increasing prioritization of cessation within oncology. Conclusions: Findings highlight unmet needs for patients and providers regarding provision of effective cessation care. Despite survival benefit, cessation is still not standard within cancer care. Our results show that many patients would benefit from standardized programs where they are routinely asked about cessation. Providers would benefit from both structural enhancements and professional education to ensure that evidence-based cessation services tailored to cancer patients, are offered throughout treatment and survivorship. [ABSTRACT FROM AUTHOR]

Highlights • A Turnbull estimator accounted for left and right censoring of vaccination dates. • Maternal recall was a more common source of vaccination in India. • Timeliness was 64% for DPT-1, 48% for DPT-2, and 35% for DPT-3. • Accounting for left-censored data improves measures. • In India, there is little increase in vaccination coverage after age one. Abstract Morbidity from vaccine-preventable diseases is high in India, but precise estimates of vaccination timeliness are difficult to compute because many children lack records of vaccination dates. This study assessed vaccination timeliness after accounting for right and left censoring of data. This cross-sectional study used the 2012–2013 District Level Household and Facility Survey in India. The outcome was vaccination timeliness for 9 vaccine doses: 1 dose Bacillus Calmette-Guérin (BCG), 4 doses oral polio vaccine, 3 doses diphtheria-pertussis-tetanus vaccine (DPT), and 1 dose measles-containing vaccine. Age-specific probabilities of vaccination were calculated using Turnbull estimators: children not yet vaccinated were right censored, and children vaccinated but without a recorded date were left censored. Data from 108,783 children under 5 years were available. For children 25–60 months, maternal recall was a more common source of information than a vaccination record with dates. At one month past the recommended vaccination age, estimated coverage ranged from 35% for DPT-3 to 55% for BCG. Accounting for censored data improved vaccination timeliness measures, and demonstrated little increase in vaccination coverage after age one. Efforts to reduce morbidity from vaccine-preventable diseases in India should focus on eliminating missed opportunities for vaccination and instituting special vaccination programs for older children. [ABSTRACT FROM AUTHOR]

Background Childhood mortality in Afghanistan fell by half between 1990 and 2015, due in part to the government’s commitment to improving pediatric immunization services. Although progress has been made, immunization coverage has nonetheless remained low with only 65% of children receiving the third dose of Diphtheria-Pertussis-Tetanus (DPT3) based on WHO estimates. This study aims to calculate the proportion of Afghan children aged 1–4 years who were fully vaccinated, under-vaccinated, or non-vaccinated with government-recommended Expanded Program on Immunization vaccines and identify predictors related to the family’s sociodemographic status and maternal autonomy. Methods Data from the 2015 Afghanistan Demographic and Health Survey was used to calculate the proportion of children who were fully vaccinated (i.e. received all recommended vaccines), under-vaccinated (i.e. received some, but not all), and non-vaccinated (i.e. did not receive any vaccines) according to WHO guidelines. A multivariable multinomial logistic regression model generated odds ratios for under-vaccination and non-vaccination versus full vaccination, and examined associations between independent factors and full vaccination status. Results We found 40.6% of Afghan children age 1–4 were fully vaccinated, 42.4% under-vaccinated, and 17% non-vaccinated. Large disparities characterized immunization coverage among provinces and between urban and rural regions. Birthing in a government institution (vs. non-institutional setting), a higher number of antenatal care visits, and a visit to a health facility in the past 12 months were all associated with increased odds of full immunization. Factors related to maternal autonomy including maternal decision-making and maternal attitudes towards beating were also significantly associated with vaccination status. Conclusion Approximately 60% of children in Afghanistan are under-vaccinated or non-vaccinated, leaving millions of children unnecessarily at risk for vaccine-preventable diseases. Engagement with community and religious leaders to create programs that increase women’s autonomy and expand access to institutional delivery could lead to downstream increases in childhood vaccination coverage. [ABSTRACT FROM AUTHOR]

Objective: To characterise studies which have used Demographic and Health Survey (DHS) datasets to evaluate vaccination status., Design: Scoping review., Data Sources: Electronic databases including PubMed, EBSCOhost and POPLINE, from 2005 to 2018., Study Selection: All English studies with vaccination status as the outcome and the use of DHS data., Data Extraction: Studies were selected using a predetermined list of eligibility criteria and data were extracted independently by two authors. Data related to the study population, the outcome of interest (vaccination) and commonly seen predictors were extracted., Results: A total of 125 articles were identified for inclusion in the review. The number of countries covered by individual studies varied widely (1-86), with the most published papers using data from India, Nigeria, Pakistan and Ethiopia. Many different definitions of full vaccination were used although the majority used a traditional schedule recommended in the WHO's Expanded Programme on Immunisation. We found studies analysed a wide variety of predictors, but the most common were maternal education, wealth, urbanicity and child's sex. Most commonly reported predictors had consistent relationships with the vaccination outcome, outside of sibling composition., Conclusions: Researchers make frequent use of the DHS dataset to describe vaccination patterns within one or more countries. A clearer idea of past use of DHS can inform the development of more rigorous studies in the future. Researchers should carefully consider whether a variable needs to be included in the multivariable model, or if there are mediating relationships across predictor variables., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)