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Introduction: Anemia is significantly associated with morbidity and mortality in women of reproductive age. Determining the prevalence and identifying associated risk factors remains an important topic in public health. Therefore, this study aimed to estimate and identify the risk factors for anemia in women of reproductive age in Tanzania., Materials and Methods: A cross-sectional study utilizing secondary data from the Tanzania Demographic and Health Survey of 2022 was conducted. Weighted total samples of 8,921 reproductive-age women were included in the analysis. A multilevel Poisson regression model was employed to account for the hierarchical structure of the TDHS data. Deviance was used to compare the models. In the multivariable multilevel mixed-effects Poisson regression model with robust variance, adjusted prevalence ratios with corresponding 95% confidence intervals were used to identify the determinants of anemia., Results: The prevalence of anemia among women of reproductive age in Tanzania was 42.02% [95% CI: (40.79%-43.25%)]. Of these, 19.82%, 19.35%, and 2.84% had mild, moderate, and severe anemia, respectively. The regression results revealed that women from households with the poorest wealth quantiles, underweight, pregnant status, high community poverty level, and women from the eastern and Zanzibar administrative zones had a higher prevalence of anemia. While currently employed, moderate alcohol consumption and use of hormonal contraceptive methods were associated with a lower prevalence of anemia., Conclusion: The findings of the study showed that anemia is a severe public health issue among women of reproductive age in Tanzania, affecting more than four in ten women. Interventions targeting the improvement of nutrition, access to healthcare services, and education on anemia prevention and management should be prioritized to reduce the burden of anemia effectively., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kassie 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.)

Background: Quality Antenatal Care (ANC) is considered if pregnant women have access to essential services that align with the best evidence-based practice. Although several studies have been conducted on ANC uptake in Ethiopia, they have focused on the timing and number of visits and the level of complete uptake of care contents according to the WHO recommendation remains scarce. Hence, this study aimed to assess the magnitude of missing care content during ANC visits, its spatial variations, and individual- and community-level determinants in Ethiopia., Methods: The study was conducted using the 2016 Ethiopian Demographic and Health Survey and included a total weighted sample of 4,771 women who gave birth within five years before the survey. Spatial analysis was carried out using Arc-GIS version 10.7 and SaTScan version 9.6 statistical software. Spatial autocorrelation (Moran's I) was checked to determine the non-randomness of the spatial variation in the missing contents of care. Multilevel multivariable logistic regression analysis was performed using STATA version 16. The adjusted odds ratio (aOR) with its corresponding 95% CI was used as a measure of association., Results: The prevalence of missing full contents of ANC in Ethiopia was 88.2% (95% CI: 87.2, 89.0), with significant spatial variations observed across regions. Missing essential contents of care was higher among women who live in rural areas (aOR = 1.68, 95% CI: 1.47, 2.71), not completed formal education (aOR = 1.94, 95% CI:1.24, 3.02), late initiation of ANC (aOR = 3.05, 95% CI:1.59, 6.54), attended only one ANC (aOR = 4.13, 95% CI: 1.95, 8.74), and not having a mobile phone (aOR = 1.44, 95% CI: 1.07, 1.95)., Conclusion: The level of missing care content during prenatal visits was high in Ethiopia, with significant spatial variation across regions. Health systems and policymakers should promote early initiation and encourage multiple visits to provide optimal care to pregnant women. In addition, it is vital to focus on enhancing education and healthcare infrastructure in rural parts of the country., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Hailegebireal 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.)

Importance: Cancer prevention and care efforts have been challenged by the COVID-19 pandemic and armed conflicts, resulting in a decline in the global Human Development Index (HDI), particularly in low- and middle-income countries. These challenges and subsequent shifts in health care priorities underscore the need to continuously monitor cancer outcome disparities and statistics globally to ensure delivery of equitable and optimal cancer prevention and care in uncertain times., Objective: To measure the global burden of 36 cancers in 2022 by sex, age, and geographic location and to project future trends by 2050., Design, Setting, and Participants: This cross-sectional study used population-based data from 2022 in 185 countries and territories were obtained from the Global Cancer Observatory database. Data extraction and analysis were carried out in April 2024., Main Outcomes and Measures: Counts, rates, prevalence, mortality to incidence ratios (MIRs), and demography-based projections were used to characterize current and future cancer burden., Results: This population-based study included 36 cancer types from 185 countries and territories. By 2050, 35.3 million cancer cases worldwide are expected, a 76.6% increase from the 2022 estimate of 20 million. Similarly, 18.5 million cancer deaths are projected by 2050, an 89.7% increase from the 2022 estimate of 9.7 million. Cancer cases and deaths are projected to nearly triple in low-HDI countries by 2050, compared to a moderate increase in very high-HDI countries (142.1% vs 41.7% for cancer cases and 146.1% vs 56.8% for cancer deaths). Males had a higher incidence and greater number of deaths in 2022 than females, with this disparity projected to widen by up to 16.0% in 2050. In 2022, the MIR for all cancers was 46.6%, with higher MIRs observed for pancreatic cancer (89.4%), among males (51.7%), among those aged 75 years or older (64.3%), in low-HDI countries (69.9%), and in the African region (67.2%)., Conclusions and Relevance: In this cross-sectional study based on data from 2022, cancer disparities were evident across HDI, geographic regions, age, and sex, with further widening projected by 2050. These findings suggest that strengthening access to and quality of health care, including universal health insurance coverage, is key to providing evidence-based cancer prevention, diagnostics, and care.

Background: COVID-19, a highly impactful infectious disease, has been observed to result in psychological distress, organ impairment, and mortality. The severity and consequences of the illness appear to vary based on geographical location and individual characteristics. Understanding the disease and optimizing resource distribution through early classification depend on having data on the severity of COVID-19 patients. There is a dearth of information in this particular region regarding the severity of COVID-19 patients and related factors. Therefore, this study used an ordinal logistic regression model to determine the severity levels of COVID-19 and its associated components., Materials and Methods: A retrospective follow-up study was conducted on COVID-19 patients admitted between May 30, 2020, and October 15, 2021, at care centers in southern Ethiopia. 845 patients were included in this research. The mean (standard deviation) and median (interquartile range) were used to summarize the data. A multivariable ordinal logistic regression model was used to study the association between independent variables and COVID-19 severity levels., Results: In terms of the severity of the disease, 12.07% of patients had severe COVID-19, 7.81% had critical disease, and 6.39% had moderate disease. 8.28% of the 845 patients died, while 88.88% of them made a full recovery. Older age (> = 40 years) (AOR = 5.75, 95% CI = 3.99, 8.27), comorbidities (AOR = 4.17, 95% CI = 3.03, 5.88), and low oxygen saturation (AOR = 3.44, 95% CI = 2.23, 5.56) were significantly linked to higher odds of experiencing more severe levels of COVID-19 compared to their counterparts., Conclusion: 7.81% of patients were critically ill, while more than one-tenth (12.07%) were considered severely ill. Low oxygen saturation, comorbidities, and advanced age were found to be significantly associated with COVID-19 severity. Therefore, it is crucial to manage comorbidities, provide special treatment, and provide COVID-19 patients with underlying medical issues more attention due to the higher risk of poor outcomes. To speed up their recovery, medical professionals should regularly monitor and provide specialized care to older COVID-19 patients. In order to identify patients who are more likely to experience a severe illness and to better manage their treatment, it is imperative that oxygen saturation levels in COVID-19 patients be promptly identified and monitored., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Tirore, Sergindo, Areba, Hailegebireal and Desalegn.)

Background: Despite a higher rate of breast cancer in sub-Saharan Africa (SSA), efforts to treat the disease through breast cancer screening are suboptimal, resulting in late diagnosis of breast cancer and poor outcomes. Several studies have been conducted in SSA countries about screening uptake, yet they addressed country or sub-country level data and did not consider both individual and beyond-individual factors related to screening. Hence, pooled prevalence as well as multilevel correlates of screening in the region is sparse, which have been addressed by this study using the most recent data among women with SSA., Methods: This study was conducted using the Demographic Health Survey data (2013-2022) from six countries, and a total weighted sample of 95,248 women was examined. STATA version 16 was used for the data analysis. Multilevel mixed-effects logistic regression was performed and significant predictors were reported using adjusted odds ratios (aOR) with 95% confidence intervals (95% CI)., Results: The overall weighted prevalence of clinical breast cancer screening was 14.23% (95% CI: 13.97-14.75), with Namibia and Tanzania having the highest (24.5%) and lowest (5.19%) screening rates, respectively. Higher breast cancer screening uptake was observed among women of advanced age (35-49) [aOR = 1.78; 95% CI: 1.60, 1.98], had higher educational levels [aOR = 1.84; 95% CI: 1.66, 2.03], cohabited [aOR = 1.37; 95% CI: 1.21, 1.55], in the richest wealth quintile [aOR = 2.27; 95% CI: 1.95, 2.64], urban residents [aOR = 1.21; 95%CI: 1.10, 1.33], multiparous [aOR = 1.47; 95% CI: 1.30, 1.68], visited health facilities [aOR = 1.64; 95% CI: 1.52, 1.76], and read newspapers [aOR = 1.78; 95%CI: 1.60, 2.15]., Conclusion: The prevalence of clinical breast cancer screening was low (14%). Strengthening awareness campaigns, improving healthcare infrastructure, health education, universal health coverage, and screening program access, with a focus on rural areas, women who lack formal education, and low socioeconomic status, are critical to increasing breast cancer screening rates and equity. Scale-up local and regional collaborations and the involvement of media agencies in the implementation of screening programs, advocacy, dissemination of information, and integration of screening programs with their routine care, such as perinatal care, can boost the screening. The existing health service delivery points also need to focus on integrating breast cancer screening services with routine care such as perinatal care., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Hailegebireal, Bizuayehu, Wolde, Tirore, Woldegeorgis, Kassie and Asgedom.)

Background: Essential Newborn care (ENC) is a High-quality universal newborn health care devised by the World Health Organization for the provision of prompt interventions rendered to newborns during the postpartum period. Even though conducting comprehensive studies could provide a data-driven approach to tackling barriers to service adoption, there was a dearth of studies in Ethiopia that assess the geographical variation and predictors of missing ENC. Hence, this study aimed to identify geographical, individual, and community-level predictors of missing ENC messages at the national level., Methods: This study used the 2016 Ethiopian Demographic and Health Survey, by using a weighted sample of 7,590 women who gave birth within two years prior to the survey. The spatial analysis was carried out using Arc-GIS version 10.7 and SaTScan version 9.6 statistical software. Spatial autocorrelation (Moran's I) was checked to figure out the non-randomness of the spatial variation of missing ENC in Ethiopia. Six items of care used to construct a composite index.0of ENC uptake were cord examination, temperature measurement, counselling on danger signs, counselling on breastfeeding, observation of breastfeeding, and measurement of birth weight. To assess the presence of significant differences in the mean number of ENC items across covariates, independent t-tests and one-way ANOVA were performed. Finally, a multilevel multivariable mixed-effect negative binomial regression was done by using STATA version 16. The adjusted incidence rate ratio (aIRR) with its corresponding 95% CI was used as a measure of association and variables with a p-value<0.05 were identified as significant predictors of ENC., Results: The overall prevalence of missing ENC was 4,675 (61.6%) (95% CI: 60.5, 62.7) with a significant spatial variation across regions. The majority of Somali, Afar, south Amhara, and SNNPR regions had statistically significant hotspots for missing ENC. The mean (±SD) number of ENC items received was 1.23(±1.74) with a variance of 3.02 indicating over-dispersion. Living in the poorest wealth quintile (aIRR = 0.67, 95%CI: 0.51, 0.87), lack of Antenatal care (aIRR = 0.52, 95%CI: 0.49, 0.71), birth at home (aIRR = 0.27, 95% CI: 0.17, 0.34), living in rural area (aIRR = 0.39, 95% CI: 0.24, 0.57) were significant predictors of ENC uptake., Conclusion: The level of missing ENC was found to be high in Ethiopia with a significant spatial variation across regions. Hence, the government and policymakers should devise strategies for hotspot areas to improve women's economic capabilities, access to education, and health-seeking behaviours for prenatal care and skilled delivery services to improve ENC uptake., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Hailegebireal, Kitila. 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.)

Background: Cervical cancer screening is the primary goal in 90-70-90 targets to reduce cervical cancer incidence and mortality by identifying and treating women with precancerous lesions. Although several studies have been conducted in Sub-Saharan African (SSA) countries on cervical cancer screening, their coverage was limited to the regional or national level, and/or did not address individual- and community-level determinants, with existing evidence gaps to the wider SSA region using the most recent data. Hence, this study aimed to assess the pooled prevalence and multilevel correlates of cervical cancer screening among women with SSA., Methods: This study was conducted using the Demographic Health Survey data (2015-2022) from 11 countries, and a total weighted sample of 124,787 women was considered in the analysis. Using multilevel mixed-effects logistic regression, the influence of each factor on cervical cancer screening uptake was investigated, and significant predictors were reported using the adjusted odds ratio (aOR) with their respective 95% confidence intervals (95% CI)., Results: The overall weighted prevalence of cervical cancer screening was 10.29 (95% CI: 7.77, 11.26), with the highest and lowest screening rates detected in Namibia and Benin at 39.3% (95% CI: 38.05, 40.54) and 0.5% (95% CI: 0.36, 0.69), respectively. Higher cervical screening uptake was observed among women aged 35-49 [aOR = 4.11; 95% CI: 3.69, 4.58] compared to 15-24 years, attending higher education [aOR = 2.71; 95% CI: 2.35, 3.23] than no formal education, being in the richest wealth quintile [aOR = 1.45; 95% CI: 1.26, 1.67], having a recent visit to a health facility [aOR = 1.83; 95% CI: 1.71, 1.95], using contraception [aOR = 1.54; 95% CI: 1.45, 1.64], recent sexual activity [aOR = 3.59; 95% CI: 2.97, 4.34], and listening to the radio [aOR = 1.78; 95%CI: 1.60, 2.15]., Conclusion: The overall prevalence of cervical cancer screening in SSA countries was found to be low; only one in every ten women has been screened. Strengthening universal health coverage, and promoting screening programs with an emphasis on rural areas and low socioeconomic status are key to improving screening rates and equity. Additionally, integrating cervical cancer screening with existing reproductive health programs, e.g. contraceptive service would be important., (© 2024. The Author(s).)

Background: Patient satisfaction is a critical measure of the quality of healthcare services provided by healthcare facilities. However, very few studies, particularly in Ethiopia, which includes the study area, have specifically examined these discrepancies among people who use outpatient care. In this study, satisfaction levels and associated factors were compared between insured and uninsured patients receiving outpatient services at public health institutions in Hadiya Zone, southern Ethiopia., Methods: A facility-based comparative cross-sectional study design was employed on 630 patients using multistage and systematic random sampling. Data were collected using a pretested and structured interviewer-administered questionnaire. Results of the analysis were presented in text, tables, and graphs as appropriate. Multivariable logistic regression was used to predict associations between predictors and the outcome variable. Statistical significance was declared at p-value < 0.05., Results: Overall, 344(55.48%) patients were satisfied with the service they received, of which 206(65.8%) out of 313 with a 95% CI [60.7-71.2%] were insured and 138(44.95%) out of 307 with a 95% CI [39.4-5.1%] were uninsured. Among insured patients, factors associated with higher satisfaction included having a family size less than five members [AOR = 3.3, 95% CI; 1.5, 7.4], perceived fair waiting time to be seen[AOR = 2.35, 95% CI; 1.02, 5.5], perceived short waiting time to be seen[AOR = 8.12, 95% CI; 1.6, 41.3], having all ordered laboratory tests available within the facility[AOR = 7.89, 95% CI; 3.5, 17.5], having some ordered laboratory tests within the facility[AOR = 2.97, 95% CI; 1.25, 7.01] having all prescribed medications available within the facility[AOR = 16.11, 95% CI; 6.25, 41.5], having some prescribed medications available within the facility[AOR = 13.11, 95% CI; 4.7, 36.4]. Among non-insured patients, factors associated with higher satisfaction included urban residency, a fair and short perceived time to be seen, having ordered laboratory tests within the facility, and having prescribed drugs within the facility., Conclusion: This study identified lower overall satisfaction, particularly among uninsured patients. Enrollment in the CBHI program significantly impacted satisfaction, with both groups reporting lower levels compared to enrollment periods. Access to essential services, wait times, and socio-demographic factors identified as associated factors with patient satisfaction regardless of insurance status., (© 2024. The Author(s).)

Background: Despite the Ethiopian government included the Pneumococcal Conjugate Vaccine (PCV) in the national expanded program for immunization in 2011, only 56% of children aged 12-23 months received the full dose of PCV. Despite some studies on PCV uptake in Ethiopia, there was a dearth of information on the geographical distribution and multilevel factors of incomplete PCV uptake. Hence, this study aimed to identify the spatial variations and predictors of incomplete PCV uptake among children aged 12-35 months in Ethiopia., Methods: The study was based on an in-depth analysis of 2016 Ethiopia Demographic Health Survey data, using a weighted sample of 3,340 women having children aged 12-35 months. Arc-GIS version 10.7 and SaTScan version 9.6 statistical software were used for the spatial analysis. To explore spatial variation and locate spatial clusters of incomplete PCV, the Global Moran's I statistic and Bernoulli-based spatial scan (SaTScan) analysis were carried out, respectively. A multilevel mixed-effect multivariable logistic regression was done by STATA version 16. Adjusted odds ratio (AOR) with its corresponding 95% CI was used as a measure of association, and variables with a p < 0.05 were deemed as significant determinants of incomplete PCV., Results: The overall prevalence of incomplete PCV in Ethiopia was found to be 54.0% (95% CI: 52.31, 55.69), with significant spatial variation across regions (Moran's I = 0.509, p < 0.001) and nine most likely significant SaTScan clusters. The vast majority of Somali, southeast Afar, and eastern Gambela regions were statistically significant hot spots for incomplete PCV. Lacking ANC visits (AOR = 2.76, 95% CI: 1.91, 4.00), not getting pre-birth Tetanus injections (AOR = 1.84, 95% CI: 1.29, 2.74), home birth (AOR = 1.72, 95% CI: 1.23, 2.34), not having a mobile phone (AOR = 1.64, 95% CI: 1.38, 1.93), and residing in a peripheral region (AOR = 4.63; 95% CI: 2.34, 9.15) were identified as statistically significant predictors of incomplete PCV., Conclusion: The level of incomplete PCV uptake was found to be high in Ethiopia with a significant spatial variation across regions. Hence, the federal and regional governments should collaborate with NGOs to improve vaccination coverage and design strategies to trace those children with incomplete PCV in peripheral regions. Policymakers and maternal and child health program planners should work together to boost access to maternal health services like antenatal care and skilled delivery services to increase immunization coverage., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Hailegebireal, Hailegebreal, Tirore and Wolde.)

Introduction: In Ethiopia, despite major improvements seen in health service delivery system, the country continues to be significantly affected by cholera outbreaks. Cholera remains a significant public health problem among the vulnerable populations living in many resource-limited settings with poor access to safe and clean water and hygiene practices. Recurring cholera outbreaks are an indication of deprived water and sanitation conditions as well as weak health systems, contributing to the transmission and spread of the cholera infection., Objective: To assess the cholera outbreak, its challenges, and the way forward on public health interventions to solve the knowledge and health service delivery gaps related to cholera control in Guraghe Zone, Ethiopia, 2023., Methods: Active surveillance of the cholera outbreak was conducted in all kebeles and town administrative of Guraghe zone from 7/8/2023 to 30/10/2023. A total of 224 cholera cases were detected during the active surveillance method. Data obtained from Guraghe zone offices were exported to SPSS version 25 for additional analysis. The case fatality rate, incidence of the cases, and other descriptive variables were presented and described using figures and tables., Result: A total of 224 cholera cases were detected through an active surveillance system. In this study, the case fatality rate of cholera outbreak was 2.6%. To tackle the cholera outbreak, the Guraghe zone health office collaborated with other stakeholders to prepare four cholera treatment centers. The absence of OCV, inaccessible safe water, low latrine coverage, inappropriate utilization of latrines, and absence of cholera laboratory rapid diagnostics test in Guraghe Zone are barriers to tackling the outbreak., Conclusion: Ethiopia National Cholera Plan targeted eradicating cholera by 2030, 222 cholera outbreak occurred in Guraghe Zone, Ethiopia. To minimize and control cholera mortality rate oral cholera vaccinations should be employed in all areas of the region. Sustainable WASH measures should be guaranteed for the use of safe water and good hygiene practices. Early diagnosis and treatment should be initiated appropriately for those who are infected., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Berhe, Fikadu, Sahle, Hailegebireal, Eanga, Ketema and Wolde.)