Factors influencing HIV testing uptake in Sub-Saharan Africa: a comprehensive multi-level analysis using demographic and health survey data (2015-2022).

BACKGROUND: Human Immunodeficiency Virus (HIV) is a global health concern, causing over 35 million deaths, with 97% occurring in developing nations, particularly impacting Sub-Saharan Africa. While HIV testing is crucial for early treatment and prevention, existing research often focuses on specific groups, neglecting general adult testing rates. This study aims to identify predictors of HIV testing uptake among adults in Sub-Saharan Africa. METHOD: Data were obtained from the official Demographic and Health Survey program database, which used a multistage cluster sampling technique to collect the survey data. In this study, a weighted sample of 283,936 adults was included from thirteen Sub-Saharan African countries. Multilevel multivariable logistic regression analysis was employed to identify predictors of HIV testing uptake. Akaike's information criteria guided model selection. Adjusted odds ratios and corresponding 95% confidence intervals determined significant predictor variables. RESULT: Among adults in Sub-Saharan African countries, the prevalence of HIV testing uptake was 65.01% [95% CI (64.84%, 65.17%)]. Influential factors included male sex [AOR: 0.51, 95% CI (0.49,0.53)], varying odds ratios across age groups (20-24 [AOR: 3.3, 95% CI (3.21, 3.46) ], 25-29 [AOR: 4.4, 95% CI (4.23, 4.65)], 30-34 [AOR: 4.6, 95%CI (4.40, 4.87)], 35-39 [AOR: 4.0, 95%CI (3.82, 4.24)], 40-44 [AOR: 3.7, 95%CI (3.50, 3.91)], 45-49 [AOR: 2.7, 95%CI (2.55, 2.87)], 50+ [AOR: 2.7, 95%CI (2.50, 2.92)]), marital status (married [AOR: 3.3, 95%CI (3.16, 3.46)], cohabiting [AOR: 3.1, 95% CI (2.91, 3.28)], widowed/separated/divorced [AOR: 3.4, 95%CI (3.22, 3.63)]), female household headship (AOR: 1.28, 95%CI (1.24, 1.33)), education levels (primary [AOR: 3.9, 95%CI (3.72, 4.07)], secondary [AOR: 5.4, 95%CI (5.16, 5.74)], higher [AOR: 8.0, 95%CI (7.27, 8.71)]), media exposure (AOR: 1.4, 95%CI (1.32, 1.43)), wealth index (middle [AOR: 1.20, 95%CI (1.17, 1.27)], richer [AOR: 1.50, 95%CI (1.45, 1.62)]), Having discriminatory attitudes towards PLWHIV [AOR: 0.4; 95% CI (0.33, 0.37)], had multiple sexual partners [AOR: 1.2; 95% CI (1.11, 1.28)], had comprehensive knowledge about HIV [AOR: 1.6; 95% CI (1.55, 1.67)], rural residence (AOR: 1.4, 95%CI (1.28, 1.45)), and lower community illiteracy (AOR: 1.4, 95%CI (1.31, 1.50)) significantly influenced HIV testing uptake in the region. CONCLUSION: This study highlights the need for tailored interventions to address disparities in HIV testing uptake among adults in Sub-Saharan Africa and progress towards the achievement of 95-95-95 targets by 2030. Thus, tailored interventions addressing key factors are crucial for enhancing testing accessibility and emphasizing awareness campaigns, easy service access, and targeted education efforts to improve early diagnosis, treatment, and HIV prevention in the region.

Nomogram to predict risk of neonatal mortality among preterm neonates admitted with sepsis at University of Gondar Comprehensive Specialized Hospital: risk prediction model development and validation.

BACKGROUND: Mortality in premature neonates is a global public health problem. In developing countries, nearly 50% of preterm births ends with death. Sepsis is one of the major causes of death in preterm neonates. Risk prediction model for mortality in preterm septic neonates helps for directing the decision making process made by clinicians. OBJECTIVE: We aimed to develop and validate nomogram for the prediction of neonatal mortality. Nomograms are tools which assist the clinical decision making process through early estimation of risks prompting early interventions. METHODS: A three year retrospective follow up study was conducted at University of Gondar Comprehensive Specialized Hospital and a total of 603 preterm neonates with sepsis were included. Data was collected using KoboCollect and analyzed using STATA version 16 and R version 4.2.1. Lasso regression was used to select the most potent predictors and to minimize the problem of overfitting. Nomogram was developed using multivariable binary logistic regression analysis. Model performance was evaluated using discrimination and calibration. Internal model validation was done using bootstrapping. Net benefit of the nomogram was assessed through decision curve analysis (DCA) to assess the clinical relevance of the model. RESULT: The nomogram was developed using nine predictors: gestational age, maternal history of premature rupture of membrane, hypoglycemia, respiratory distress syndrome, perinatal asphyxia, necrotizing enterocolitis, total bilirubin, platelet count and kangaroo-mother care. The model had discriminatory power of 96.7% (95% CI: 95.6, 97.9) and P-value of 0.165 in the calibration test before and after internal validation with brier score of 0.07. Based on the net benefit analysis the nomogram was found better than treat all and treat none conditions. CONCLUSION: The developed nomogram can be used for individualized mortality risk prediction with excellent performance, better net benefit and have been found to be useful in clinical practice with contribution in preterm neonatal mortality reduction by giving better emphasis for those at high risk.

Abnormal uterine bleeding and its associated factors among reproductive-age women who visit the gynecology ward in Dilla University General Hospital, Southern Ethiopia, 2022.

BACKGROUND: Abnormal uterine bleeding, a frequent gynecological problem among women of reproductive age, significantly affects their health and quality of life. Despite its problem, research on its extent and contributing factors in Ethiopia is scarce. Hence, this study is designed to determine the magnitude and factors associated with abnormal uterine bleeding among women visiting Dilla University General Hospital, Dilla, Ethiopia. METHODS: A cross-sectional study design was conducted with 380 women of reproductive age at Dilla University General Hospital. A systematic sampling method was employed to select the participants for the study. A structured interview administered questionnaire and checklist were used to collect the data. Stata V.14 software was used for cleaning, coding, ensuring completeness and accuracy, and further analysis. Bivariate and multivariable logistic regression analyses were used. Finally, the variables that have a p-value of < 0.05 were considered statistically significant. RESULTS: In this study, the magnitude of abnormal uterine bleeding was 24.21% (95% CI, 20.14-28.79). History of sexually transmitted disease [AOR = 1.44, 95% CI: (1.33, 4.75)], history of anemia [AOR = 3.92, 95% CI: (1.20, 12.74)]., history of alcohol consumption [AOR = 2.49, 95% CI: (1.22, 5.06)], and perceived stress level [AOR = 1.30, 95% CI: (1.15, 1.69)] were found to be significantly associated with abnormal uterine bleeding. CONCLUSIONS: The magnitude of abnormal uterine bleeding was 24.2% in the study setting. Factors such as a history of sexually transmitted disease, anemia, alcohol consumption, and perceived stress level were identified as significant risk factors for abnormal uterine bleeding. Addressing these factors is crucial for management. Further research and interventions targeting these risks are needed to enhance health outcomes. The study provides valuable insights for future interventions.

Factors associated with the co-utilization of oral rehydration solution and zinc for treating diarrhea among under-five children in 35 sub-saharan Africa countries: a generalized linear mixed effect modeling with robust error variance.

INTRODUCTION: Even though childhood diarrhea is treated with a simple treatment solution, it continues to be one of the leading causes of under-five child mortality and malnutrition globally. In resource-limited settings such as Sub-Saharan Africa (SSA), the combination of oral rehydration salts (ORS) and zinc is regarded as an effective treatment for diarrhea; however, its utilization is very low. The purpose of this study was to determine the proportion and associated factors of co-utilization of ORS and zinc among under-five children with diarrhea in SSA. METHODS: The proportion and associated factors of co-utilization of ORS and zinc among under-five children with diarrhea in SSA were determined using secondary data analysis of recent Demographic and Health Surveys (DHS) of 35 SSA countries. The study included a total of 44,341 under-five children with diarrhea in weighted samples. A generalized linear mixed-effects model with robust error variance was used. For the variables included in the final model, adjusted prevalence ratios (aPR) with 95% confidence intervals (CI) were estimated. A model with the lowest deviance value were considered as the best-fitted model. RESULT: The pooled proportion of co-utilization of ORS and zinc for the treatment of diarrhea among under five children in SSA countries was 43.58% with a 95% CI (43.15%, 44.01%). Sex of the child, maternal age, residence, maternal educational and employment status, wealth index, media exposure, perceived distance to health facility and insurance coverage were statistically significant determinants of ORS and Zinc co-utilization for treating diarrhea among under five children in SSA. CONCLUSION: Only less than half of under-five children with diarrhea in SSA were treated with a combination of ORS and zinc. Thus, strengthening information dissemination through mass media, and community-level health education programs are important to scale up the utilization of the recommended combination treatment. Furthermore, increasing health insurance coverage, and establishing strategies to address the community with difficulty in accessing health facilities is also crucial in improving the use of the treatment.

Geospatial determinants and spatio-temporal variation of early initiation of breastfeeding and exclusive breastfeeding in Ethiopia from 2011 to 2019, a multiscale geographically weighted regression analysis.

BACKGROUND: Breastfeeding offers numerous benefits for infants, mothers, and the community, making it the best intervention for reducing infant mortality and morbidity. The World Health Organization (WHO) recommends initiating breastfeeding within one hour after birth and exclusively breastfeeding for the first six months. This study investigated the trend, spatio-temporal variation, and determinants of spatial clustering of early initiation of breastfeeding (EIBF) and exclusive breastfeeding (EBF) in Ethiopia from 2011 to 2019. METHODS: Data from the Ethiopian Demographic and Health Survey (EDHS), which was conducted in 2011, 2016, and 2019, were analyzed utilizing a weighted sample of 10,616 children aged 0-23 years for EIBF and 2,881 children aged 0-5 months for EBF. Spatial autocorrelation analysis was used to measure whether EIBF and EBF were dispersed, clustered, or randomly distributed and Kriging interpolation was employed to predict the outcome variables in the unmeasured areas. Spatial scan statistics were used to identify spatial clusters with a high prevalence of cases. Both global and local regression modeling techniques were employed to examine the spatial relationships between the explanatory variables and the dependent variables. RESULTS: The trend analysis revealed a notable increase in the prevalence of EIBF from 51.8% in 2011 to 71.9% in 2019. Similarly, the prevalence of EBF increased from 52.7% in 2011 to 58.9% in 2019. Spatial analysis demonstrated significant spatial variation in both EIBF and EBF throughout the country. Cold spots or clusters with a low prevalence of EIBF were observed consistently in the Tigray and Amhara regions, and significant cold spot areas of EBF were observed consistently in the Afar and Somali regions. Multiscale geographically weighted regression analysis revealed significant predictors of spatial variations in EIBF, including the religious affiliation of being a follower of the orthodox religion, parity of 1-2, absence of antenatal care visits, and delivery via cesarean section. CONCLUSIONS: Despite the increase in both EIBF and EBF rates over time in Ethiopia, these rates still fall below the national target. To address this issue, the government should prioritize public health programs aimed at improving maternal healthcare service utilization and maternal education. It is essential to integrate facility-level services with community-level services to achieve optimal breastfeeding practices. Specifically, efforts should be made to promote breastfeeding among mothers who have delivered via cesarean section. Additionally, there should be a focus on encouraging antenatal care service utilization and adapting maternal healthcare services to accommodate the mobile lifestyle of pastoralist communities. These steps will contribute to enhancing breastfeeding practices and achieving better outcomes for maternal and child health.

Unimproved source of drinking water and its associated factors: a spatial and multilevel analysis of Ethiopian demographic and health survey.

BACKGROUND: Drinking water quality has been a major public health concern in lower and middle income countries where access to improved water supplies is limited. Ethiopia is thought to have one of the worst drinking water infrastructures in the world. This study aimed to assess the spatial variation and determinants of using unimproved sources of drinking water in Ethiopia using recent nationally representative data. METHODS: A population-based cross-sectional study was employed with the recent EDHS data of 2019. A total of 8663 households were sampled using a stratified two-stage cluster sampling method. Kuldorff's SaTScan version 9.6 software was used to generate spatial scan statistics. ArcGIS version 10.7 software was used to visualize the spatial patterns of unimproved drinking water sources. A multilevel multivariable mixed-effect logistic regression was used to identify factors associated with the use of an unimproved drinking water source. In the multivariable multilevel analysis, those variables with a p-value < 0.05 were considered to be significant predictors of using an unimproved source of drinking water. RESULT: Around 31% (95% CI: 30%, 32%) of the population in Ethiopia uses unimproved sources of drinking water with significant spatial variation across the country. Households aged 41-60 [AOR = 0.69; 95%CI; 0.53, 0.89] as compared to the households aged 10-25, households having middle wealth index [AOR = 0.48; 95%CI; 0.40, 0.59], and households having a rich wealth index [AOR = 0.31; 95%CI; 0.25, 0.39] as compared to the poor households, living in high community literacy level [AOR = 0.36; 95%CI; 0.16, 0.80], living in high-level community poverty [AOR = 3.03; 95%CI; 1.32, 6.98], rural residence [AOR = 7.88; 95%CI; 2.74, 22.67] were significant predictors of use of unimproved source of drinking water. Hot spot areas of use of unimproved drinking water sources were observed in Amhara, Afar, and Somalia regions and some parts of SNNPR and Oromia regions in Ethiopia. The primary clusters were found in Ethiopia's Somalia and Oromia regions. CONCLUSION: Around one third of the Ethiopian population utilizes unimproved source of drinking water and it was distributed non-randomly across regions of Ethiopia. The age of the household head, wealth status of the household, residence, community poverty level, and community literacy level were found to be significantly associated with utilizing unimproved drinking water source. State authorities, non-governmental organizations and local health administrators should work to improve the quality of drinking water particularly for high risk groups such as communities living in high poverty and low literacy, poor households, rural residents, and hot spot areas to decrease the adverse consequences of using unimproved drinking water source.

Determinants of high-risk fertility behavior among women of reproductive age in Kenya: a multilevel analysis based on 2022 Kenyan demographic and health survey.

BACKGROUND: Women's high-risk fertility behavior (HRFB), which is characterized by narrow birth intervals, high birth order, and younger maternal age at birth, have been scientifically reported to have detrimental effects on the mother and child's health. To date, there has been limited research into the underlying factors contributing to high-risk fertility behavior in Kenya. Thus, the aim of this study is to identify the factors associated with high-risk fertility behavior among women of reproductive age in Kenya. METHOD: The 2022 Kenyan Demography and Health Survey data was used for the current study. This study included 15,483 women of reproductive age. To account for the clustering effects of DHS data and the binary nature of the outcome variable, a multilevel binary logistic regression model was applied. An adjusted odds ratio with a 95% confidence interval was reported to declare the statistical significance. In addition, the model that had the lowest deviance was the one that best fit the data. RESULTS: The overall prevalence of HRFB among Kenyan women were 70.86% (95%CI = 69.96, 71.40). Women with primary, secondary, and higher educational levels, Protestant and Muslim religion followers, women whose husbands/partners had secondary and higher educational levels, a high household wealth index, ever had a terminated pregnancy, and rural residence, all of these factors were found to be strongly associated with high-risk fertility behavior. CONCLUSION: As per the findings of our study, in Kenya a significant proportion of women has experienced HRFB. This is a matter of concern as it poses a significant challenge to the healthcare system. The high prevalence of HRFB indicates that there is an urgent need to take appropriate measures in order to mitigate its impact. The situation calls for a comprehensive and coordinated approach involving all stakeholders to address this issue effectively. It would benefit policymakers to create programs that consider factors like education, wealth, and residence that make women more susceptible to HRFB. Targeting women living in high HRFB-prevalence areas could help address the root causes of the issue. This approach can alleviate negative impacts and ensure effective and sustainable solutions.

Suboptimal birth spacing practice and its predictors among reproductive-age women in Sub-Saharan African countries: a multilevel mixed-effects modeling with robust Poisson regression.

BACKGROUND: Despite the availability of exempted family planning services, a significant proportion of women in African countries continue to experience inadequately spaced pregnancies. To the authors' knowledge, evidence of suboptimal birth intervals at the SSA level is lacking and previous studies have been limited to specific geographic area. Therefore, this analysis was aimed to estimate the pooled prevalence of suboptimal birth spacing and its predictors among childbearing women in SSA. METHODS: Pooled DHS data from 35 SSA countries were used and a weighted sample of 221,098 reproductive-age women was considered in the analysis. The survey across all countries employed a cross-sectional study design and collected data on basic sociodemographic characteristics and different health indicators. Forest plot was used to present the overall and country-level prevalence of suboptimal birth spacing. Multilevel mixed-effects models with robust Poisson regression were fitted to identify the predictors of suboptimal birth spacing. Akaike's and Bayesian information criteria and deviance were used to compare the models. In a multivariable regression model, a p-value less than 0.05 and an adjusted prevalence ratio with the corresponding 95% CI were used to assess the statistical significance of the explanatory variables. RESULTS: The pooled prevalence of suboptimal birth spacing among women in SSA was 43.91% (43.71%-44.11%), with South Africa having the lowest prevalence (23.25%) and Chad having the highest (59.28%). It was also found that 14 of the 35 countries had a prevalence above the average for SSA. Rural residence [APR (95% CI) = 1.10 (1.12-1.15)], non-exposure to media [APR (95% CI) = 1.08 (1.07-1.11)], younger maternal age [APR (95% CI) = 2.05 (2.01-2.09)], non-use of contraception [APR (95% CI) = 1.18 (1.16-1.20)], unmet need for family planning [APR (95% CI) = 1.04 (1.03-1.06)], higher birth order [APR (95% CI) = 1.31 (1.28-1.34)], and desire to have at least six children [APR (95% CI) = 1.14 (1.13-1.16)] were the predictors of suboptimal birth spacing practice. CONCLUSION: More than four out of ten reproductive-age women in SSA countries gave birth to a subsequent child earlier than the recommended birth spacing, with considerable variations across the countries. Thus, interventions designed at enhancing optimal birth spacing should pay particular attention to young and socioeconomically disadvantaged women and those residing in rural regions. Strengthening community health programs and improving accessibility and availabilities of fertility control methods that ultimately impacts optimal reproductive behaviors is crucial to address contraceptive utilization and unmet need.

Risk factors of necrotizing enterocolitis among neonates admitted to the neonatal intensive care unit at the selected public hospitals in southern Ethiopia, 2023.

Introduction: Necrotizing enterocolitis (NEC) is a serious intestinal condition characterized by ischemic necrosis of the intestinal mucosa, inflammation, and invasion by gas-forming organisms, posing a significant threat to neonatal health. Necrotizing enterocolitis remains a significant cause of neonatal morbidity and mortality, particularly in developing countries. Due to limited research conducted in Ethiopia and the study area, there is a lack of information regarding the risk factors associated with necrotizing enterocolitis. Therefore, the goal of this study is to fill the aforementioned gap. Objective: This study aims to identify the risk factors of necrotizing enterocolitis among neonates admitted to the neonatal intensive care unit (NICU) at selected general and referral hospitals in southern Ethiopia in the year 2023. Methods and materials: A facility-based unmatched case-control study was conducted. All neonates admitted to the NICU and diagnosed with necrotizing enterocolitis by the attending physician during the data collection period were considered as cases, whereas neonates admitted to the NICU but not diagnosed with necrotizing enterocolitis during the data collection period were considered as controls. Data were collected through face-to-face interviews and record reviews using the Kobo toolbox platform. The binary logistic regression method was used to determine the relationship between a dependent variable and independent variables. Finally, a p-value of < 0.05 was considered statistically significant. Results: This study included 111 cases and 332 controls. Normal BMI [AOR = 0.11, 95% CI: (0.02, 0.58)], history of khat chewing [AOR = 4.21, 95% CI: (1.96, 9.06)], term gestation [AOR = 0.06, 95% CI: (0.01, 0.18)], history of cigarette smoking [AOR = 2.86, 95% CI: (1.14, 7.14)], length of hospital stay [AOR = 3.3, 95% CI: (1.43, 7.67)], and premature rupture of membrane [AOR = 3.51, 95% CI: (1.77, 6.98)] were significantly associated with NEC. Conclusion: The study identified several risk factors for necrotizing enterocolitis, including body mass index, history of khat chewing, gestational age, history of cigarette smoking, length of hospital stays, and premature rupture of membrane. Therefore, healthcare providers should be aware of these risk factors to identify newborns at high risk and implement preventive measures.

Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis.

BACKGROUND: Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of malnutrition (DBM) is a common problem among women in sub-Saharan Africa (SSA), there are limited studies examining the factors contributing to underweight, overweight, and obesity at the SSA level. OBJECTIVE: To determine the factors associated with the DBM, and their relative magnitude, among women of reproductive age in SSA. DESIGN: Cross-sectional study design. SETTING: 33 SSA countries. PARTICIPANTS: 240 414 women of reproductive age. PRIMARY AND SECONDARY OUTCOME MEASURES: A multilevel multinomial logistic regression model was applied to identify factors associated with malnutrition. The adjusted relative risk ratio with 95% CI was used to declare the statistical significance of the association. RESULTS: The pooled prevalence of underweight, overweight and obesity among women in SSA were 8.87%, 16.47% and 6.10%, respectively. Women who are from rural residence and smoke cigarettes were more likely to be underweight. Conversely, women between the age of 24-34 and 35-49, who have higher education, belong to a middle and rich household, are ever married, have high parity, use contraceptives, have media exposure and smoke cigarettes were more likely to be overweight and/or obese. CONCLUSION: The findings of our study suggest that certain factors such as residence, education status, wealth, marital status, occupation, cigarette smoking, and contraceptive use have a significant assocation with malnutrition among women. Therefore, it is important for public health programs aimed at preventing the double burden of malnutrition to focus on these factors through comprehensive public awareness and cost-effective operational health interventions.