Intimate partner violence and its associated factors among reproductive-age women in East Africa:-A generalized mixed effect robust poisson regression model.

BACKGROUND: The World Health Organization (WHO) has published estimates revealing that around one out of every three women across the globe has been a victim of either physical and/or sexual violence from an intimate partner or non-partner throughout their lifetime. The available evidence on intimate partner violence in East Africa is limited Consequently, the objective of this study was to evaluate the occurrence and factors linked to intimate partner violence in East Africa. METHODS: The study utilized the most recent data from the Demographic and Health Surveys (DHS) conducted between 2011 and 2018/19 in 11 countries in Eastern Africa. A total of 59,000 women were included in the study. Descriptive and inferential statistics were used to exmine factors associated with IPV. A mixed effect robust Poisson regression model was fitted to identify factors associated with intimate partner violence. The adjusted prevalence ratio (aPR) and its corresponding 95% confidence interval (CI) were employed to determine the presence of a significant association between intimate partner violence and the independent variables. RESULTS: In this study, the prevalence of intimate partner violence in East Africa was 43.72% with 95% CI 43.32% to 44.12%. In the mixed effect robust Poisson regression model:-Marital status, working status, parity, sex of household headed, wealth index, community poverty, and residence, were significantly associated with intimate partner violence. CONCLUSION: The prevalence of intimate partner violence in East Africa is high as compared to the global prevalence 30%, which hinders The Sustainable Development Goals (SDGs), specifically goal 5, aim to attain gender equality and empower women and girls worldwide by the year 2030 Women being previously married and cohabitated, working, having a high number of children, rural residents were positively associated with IPV and household and community wealth index and sex of household headed were negatively related with IPV in East Africa. Therefore, we recommend establishing effective health and legal response using an integrated policy approach and Special attention should be given to women who live rural and poorest to reduce IPV and to achieve Sustainable Development Goals (SDGs) goal 5.

Assessment of prescribing errors reported by community pharmacy professionals.

BACKGROUND: Medication errors have serious consequences for patients' morbidity and mortality. The involvement of pharmacy professionals in the prescribing and dispensing procedure allowed the detection of a range of drug-related problems in addition to identification by prescribers. They are often the first point of contact in the healthcare system in identifying prescribing errors and intervening in these errors by dealing with the prescribers and the patients. OBJECTIVES: This study aimed to assess prescribing errors reported by community pharmacy professionals in Gondar Town, North West Ethiopia. METHODS: A self-administered cross-sectional survey was employed from February 29 to June 23, 2020, to collect data on prescribing errors reported by community pharmacy professionals. All community pharmacy professionals found in Gondar town were included. Community pharmacy professionals who were ill at the time of study and who had less than 6 months of work experience were excluded. RESULTS: Seventy-four pharmacy professionals participated in the study with a response rate of 93.6%. The overall prevalence of prescribing errors was 75.1% (95% CI 71.08-78.70). Of these errors, drug selection was the most common (82.4%), followed by errors of commission (79.7%) and errors of omission (78.4%). Antibiotics (63.5%) were commonly involved in prescribing errors, followed by analgesics (44.5%) and antipsychotics (39.5%). CONCLUSION: The findings of this study revealed a high prevalence of prescribing errors in Gondar, Ethiopia. Drug selection was the most prescribed error, followed by errors of commission. Stakeholders should design interventions such as training, integrating prescribers with clinical pharmacists and supervising interns by seniors. Large-scale studies that include potential factors of prescribing problems are recommended for future researchers.

Socioeconomic inequality in barriers for accessing health care among married reproductive aged women in sub-Saharan African countries: a decomposition analysis.

BACKGROUND: Accessibility of health care is an essential for promoting healthy life, preventing diseases and deaths, and enhancing health equity for all. Barriers in accessing health care among reproductive-age women creates the first and the third delay for maternal mortality and leads to the occurrence of preventable complications related to pregnancy and childbirth. Studies revealed that barriers for accessing health care are concentrated among individuals with poor socioeconomic status which creates health inequality despite many international organizations top priority is enhancing universal health coverage. Therefore, this study aimed to assess the presence of socioeconomic inequality in barriers for accessing health care and its contributors in Sub-Saharan African countries. METHODS: The most recent DHS data of 33 sub-Saharan African countries from 2010 to 2020 were used. A total sample of 278,501 married reproductive aged were included in the study. Erreygers normalized concentration index (ECI) and its concentration curve were used while assessing the socioeconomic-related inequality in barriers for accessing health care. A decomposition analysis was performed to identify factors contributing for the socioeconomic-related inequality. RESULTS: The weighted Erreygers normalized Concentration Index (ECI) for barriers in accessing health care was - 0.289 with Standard error = 0.005 (P value < 0.0001); indicating that barriers in accessing health care was disproportionately concentrated among the poor. The decomposition analysis revealed that wealth index (42.58%), place of residency (36.42%), husband educational level (5.98%), women educational level (6.34%), and mass media exposure (3.07%) were the major contributors for the pro-poor socioeconomic inequalities in barriers for accessing health care. CONCLUSION: In this study, there is a pro-poor inequality in barriers for accessing health care. There is a need to intensify programs that improve wealth status, education level of the population, and mass media coverage to tackle the barriers for accessing health care among the poor.

Individual and community-level determinants of knowledge of ovulatory cycle among women of childbearing age in Ethiopia: A multilevel analysis based on 2016 Ethiopian Demographic and Health Survey.

BACKGROUND: Knowledge of the ovulatory cycle (KOC) aids women to refrain and engage in sexual intercourse to avoid and to get pregnancy, respectively. The effect of community-level factors on KOC was not yet known in Ethiopia. Therefore, we aimed to investigate the community- and individual-level determinants of KOC among women of childbearing age. METHODS: We used the 2016 Ethiopian Demographic and Health Survey, and total weighted samples of 15,683 women were included. Intra-class correlation, median odds ratio, and deviance were executed for model comparison in which a model with the lowest deviance was the best model i.e. model III in this case. A multivariable multilevel logistic regression model was employed to identify community- and individual-level factors of correct KOC. In the ultimate model, an adjusted odds ratio (AOR) with a 95% confidence interval was reported and variables with a p<0.05 were considered as statistically significant. RESULTS: In this study, 3,698 [23.58% (95% CI; 22.92-24.25)] participants had correct KOC. Women's age in years, i.e. 20-24 (AOR = 1.46;1.28-1.68) 25-29 (AOR = 1.72; 1.49-1.99), 30-34 (AOR = 2.21; 1.89-2.58), 35-39 (AOR = 1.78; 1.51-2.09), 40-44 (AOR = 1.97; 1.65-2.37), and 45-49 (AOR = 1.78; 1.44-2.19), knowledge of contraceptive methods (AOR = 3.08; 2.07-4.58), increased women's educational level, i.e. higher (AOR = 4.24; 3.54-5.07), secondary (AOR = 2.89; 2.48-3.36), and primary (AOR = 1.57; 1.39-1.78), higher household's wealth index, i.e. richest (AOR = 1.71; 1.35-2.16), richer (AOR = 1.42; 1.16-1.72), middle (AOR = 1.29; 1.07-1.56), and poorer (AOR = 1.24; 1.03-1.48), current contraceptive use (AOR = 1.26; 1.13-1.39), menstruating in the last six weeks (AOR = 1.13; 1.03-1.24), women's media exposure (AOR = 1.20; 1.07-1.35), and being in the community with a high level of media exposure (AOR = 1.53; 1.24-1.88) were statistically significant with KOC. CONCLUSIONS: Knowledge of the ovulatory cycle was low in this study, which demands health education for women of childbearing age. Special attention should be given to teenagers, those with lower educational, and lower economic status. Besides, the strengthening of media campaigns could increase women's KOC, which is crucial for preventing unintended pregnancy.

Urban-rural disparities in institutional delivery among women in East Africa: A decomposition analysis.

BACKGROUND: Though institutional delivery plays a significant role in maternal and child health, there is substantial evidence that the majority of rural women have lower health facility delivery than urban women. So, identifying the drivers of these disparities will help policy-makers and programmers with the reduction of maternal and child death. METHODS: The study used the data on a nationwide representative sample from the most recent rounds of the Demographic and Health Survey (DHS) of four East African countries. A Blinder-Oaxaca decomposition analysis and its extensions was conducted to see the urban-rural differences in institutional delivery into two components: one that is explained by residence difference in the level of the determinants (covariate effects), and the other components was explained by differences in the effect of the covariates on the outcome (coefficient effects). RESULTS: The findings showed that institutional delivery rates were 21.00% in Ethiopia, 62.61% in Kenya, 65.29% in Tanzania and 74.64% in Uganda. The urban-rural difference in institutional delivery was higher in the case of Ethiopia (61%), Kenya (32%) and Tanzania (30.3%), while the gap was relatively lower in the case of Uganda (19.2%). Findings of the Blinder-Oaxaca decomposition and its extension showed that the covariate effect was dominant in all study countries. The results were robust to the different decomposition weighting schemes. The frequency of antenatal care, wealth and parity inequality between urban and rural households explains most of the institutional delivery gap. CONCLUSIONS: The urban-rural institutional delivery disparities were high in study countries. By identifying the underlying factors behind the urban-rural institutional birth disparities, the findings of this study help in designing effective intervention measures targeted at reducing residential inequalities and improving population health outcomes. Future interventions to encourage institutional deliveries to rural women of these countries should therefore emphasize increasing rural women's income, access to health care facilities to increase the frequency of antenatal care utilization.

Individual and community level factors associated with use of iodized salt in sub-Saharan Africa: A multilevel analysis of demographic health surveys.

INTRODUCTION: Iodine deficiency disorder a common problem in sub-Saharan Africa (SSA). It affects not only the health of the affected individual but also the economic development of the country. However, to the best of our knowledge, there is a scarcity in literature about the associated factors of iodized salt utilization in sub-Saharan Africa. Therefore, this study aimed to identify both individual and community level determinants of iodized salt utilization in sub-Saharan Africa. METHODS: This study used the appended datasets of the most recent demographic and health survey from 31 sub-Saharan countries. A total weighted sample of 391,463 households was included in the study. Both bivariable and multivariable multilevel logistic regression were done to determine the associated factors of iodized salt utilization in SSA. P value ≤ 0.05 was used to declare statistically significant variables. RESULTS: Those households with primary (AOR = 1.53, 95% CI = 1.50-1.57), secondary (AOR = 1.81, 95% CI = 1.76-1.86) and higher education level (AOR = 2.28, 95% CI = 2.17-2.40) had higher odds of iodized salt utilization. Households with middle (AOR = 1.05, 95% CI = 1.02-1.08), richer (AOR = 1.13, 95% CI = 1.09-1.17) and richest wealth index (AOR = 1.23, 95% CI = 1.18-1.28) also had an increased chance of using iodized salt. Households from high community media exposure (AOR = 2.07, 95% CI = 1.71-2.51), high community education level (AOR = 3.78, 95% CI = 3.14-4.56), and low community poverty level (AOR = 1.29, CI = 1.07-1.56) had higher odds of using salt containing iodine. CONCLUSION: Both individual and community level factors were found to be associated with use of salt containing iodine in sub-Saharan Africa. Education level, media exposure, community poverty level, wealth index, community education, and community media exposure were found to be associated with use of salt containing iodine in SSA. Therefore, to improve the use of iodized salt in the region, there is a need to increase access to media sources and develop the socioeconomic status of the community.

Prevalence and determinants of anemia among pregnant women in East Africa; A multi-level analysis of recent Demographic and Health Surveys.

INTRODUCTION: Anemia during pregnancy is a public health problem that leads to different life-threatening complications and poor pregnancy outcomes. So far, the evidence is scarce on pooled prevalence and determinants of anemia during pregnancy in East Africa for integrated intervention. Therefore, this study aimed to assess the prevalence and determinants of anemia among pregnant women in eastern Africa using recent Demographic and Health Surveys. METHOD: Secondary data analysis was conducted using data from recent Demographic and Health Survey datasets from 10 East African countries. A total of 8583 (weighted sample) pregnant women were included in the analysis. The multi-level mixed-effects generalized linear model (Poisson regression with robust error variance) was fitted to identify determinants of anemia. Finally, the adjusted prevalence ratio (aPR) with 95% CI and random effects for the multilevel generalized linear mixed-effects model was reported. RESULTS: In this study, the overall prevalence of anemia among pregnant women was 41.82% (95% CI: 40.78, 42.87) with a large difference between specific countries which ranged from 23.36% in Rwanda to 57.10% in Tanzania. In the multi-level analysis, teenage pregnant women (aPR = 1.22;95%CI:1.02, 1.40), unmarried women (aPR = 1.14; 95% CI;1.02,1.28), pregnant women who had unimproved toilet facility (aPR = 1.17;95%CI:1.06,1.27), and those women from countries with high illiteracy level (aPR = 1.12;95%CI; 1.07,1.18) had a higher prevalence of anemia during pregnancy. CONCLUSION: Anemia is still a public health problem in East Africa. Therefore, enabling the households to have improved toilet facilities by strengthening the existing health extension program, reducing teenage pregnancy, and improving the community literacy level is vital to reduce the prevalence of anemia during pregnancy in East Africa.

Individual and community level factors associated with delayed first postnatal care attendance among reproductive age group women in Ethiopia.

BACKGROUND: Postnatal care (PNC) visits provide a huge benefit for ensuring appropriate breastfeeding practices, to monitor the overall health status of the newborn, to timely diagnose and intervene birth-related complications, and to plan future family planning options. Despite delayed PNC attendance have a great impact on the survival of the mother and the newborn it still receives less emphasis. As a result, most mothers do not receive PNC services early. We, therefore, aimed to determine individual and community level factors associated with delayed first Postnatal Care attendance among reproductive age group women in Ethiopia. METHODS: We used the most recent Ethiopian Demographic and Health Survey (EDHS 2016) data to determine associated factors of delayed first PNC in Ethiopia. A weighted sample of 4308 women with a live birth in the two years preceding the survey was included. A multilevel logistic regression analysis was used to analyze the data. Variables with p-value < 0.05 in the multivariable multilevel logistic regression analysis were declared significantly associated with delayed first PNC attendance. RESULTS: In this study, both individual level and community level factors were associated with delayed PNC attendance. Among the individual level factors: having four or more antenatal care visit [Adjusted Odd Ratio (AOR) = 0.73; 95% CI: 0.59, 0.92], delivery at a health facility [AOR = 0.04; 95% CI: 0.03, 0.05], and perceiving distance from the health facility as not a big problem [AOR = 0.73; 95% CI: 0.58, 0.91] were associated with lower odds of delayed first PNC attendance. Of community level factors: being in Oromia [AOR = 2.31; 95% CI: 1.38, 3.83] and Gambela [AOR = 2.01; 95% CI: 1.13, 3.56] regions were associated higher odds of delayed first PNC attendance. CONCLUSIONS: Both individual level and community level factors were found to be associated with delayed PNC attendance. Strengthening antenatal care utilization, institutional delivery, and appropriate distributions of maternal health services in each region and areas far apart from the health facility are recommended.

Spatial Distribution and Determinants of Early Marriage among Married Women in Ethiopia: A spatial and Multilevel Analysis.

BACKGROUND: Early marriage is a global public health problem that is mainly practiced in South Asia, Latin America, and sub-Saharan Africa including Ethiopia. It raises the risk of early childbearing of women, higher rates of divorce, and an increased risk of maternal and child death. However, little is known about the spatial distribution and determinants of early marriage in Ethiopia. Therefore, this study aimed to assess the spatial distribution and determinants of early marriage among ever-married women in Ethiopia. METHODS: A detailed analysis of the 2016 Ethiopian Demographic and Health Survey data was conducted. A total weighted sample of 11,646 reproductive-age married women were included in the analysis. To identify significant hotspot areas of early marriage the Bernoulli model was fitted using SaTScan version 9.6 software. Additionally, to explore the spatial distributions of early marriage across the country ArcGIS version 10.1 statistical software was used. For the determinant factors, the multilevel logistic regression model was fitted. Deviance was used for model comparison and checking of model fitness. In the multivariable multilevel analysis, Adjusted Odds Ratio (AOR) with 95% CI was used to declare significant determinants of early marriage. RESULTS: The finding of this study revealed that the spatial distribution of early marriage was significantly varied across the country with Global Moran's I = 0.719 and p value < 0.001. The primary clusters were detected in Tigray, Amhara, and Afar regions. Both individual and community-level factors were associated with early marriage. Having no formal education (AOR = 4.25, 95% CI 3.13-5.66), primary education (AOR = 3.37, 95% CI 2.80-4.92), secondary education (AOR = 1.75, 95% CI 1.32-2.33), and a decision made by parents (AOR = 1.88, 95% CI 1.68-2.09) were individual-level factors associated with higher odds of early marriage. Among the community-level factors, the region was significantly associated with early marriage. Thus, living in Afar (AOR = 1.82, 95%CI 1.37-2.42), Amhara (AOR = 1.77, 95% CI 1.38-2.77), and Gambela (AOR = 1.44, 95% CI 1.09-190) was associated with higher odds of early marriage. Whereas, living in Addis Ababa (AOR = 0.50, 95% CI 0.36-0.68) was associated with a lower chance of early marriage. CONCLUSION: The spatial distribution of early marriage was significantly varied in Ethiopia. Women's education, women's autonomy, and region were found to be the significant determinants of early marriage. Therefore, public health interventions targeting those identified significant hotspot areas of early marriage are crucial to reduce the incidence of early marriage and its consequence. In addition, enhancing women's education and empowering them to make their own choices are vital for changing the customs of the community and eliminating early marriage in Ethiopia.

Exploring spatial variations and factors associated with skilled birth attendant delivery in Ethiopia: geographically weighted regression and multilevel analysis.

BACKGROUND: Skilled birth attendant (SBA) delivery is vital for the health of mothers and newborns, as most maternal and newborn deaths occur at the time of childbirth or immediately after birth. This problem becomes worsen in Ethiopia in which only 28% of women give birth with the help of SBA. Therefore, this study aimed to explore the spatial variations of SBA delivery and its associated factors in Ethiopia. METHODS: A secondary analysis was carried out using the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 11,023 women who had a live birth in the 5 years preceding the survey was included in the analysis. Arc-GIS software was used to explore the spatial distribution of SBA and a Bernoulli model was fitted using SaTScan software to identify significant clusters of non-SBA delivery. The Geographic Weighted Regression (GWR) was employed in modeling spatial relationships. Moreover, a multilevel binary logistic regression model was fitted to identify factors associated with SBA delivery. RESULTS: In this study, SBA delivery had spatial variations across the country. The SaTScan spatial analysis identified the primary clusters' spatial window in southeastern Oromia and almost the entire Somalia. The GWR analysis identified different predictors of non- SBA delivery across regions of Ethiopia. In the multilevel analysis, mothers having primary and above educational status, health insurance coverage, and mothers from households with higher wealth status had higher odds of SBA delivery. Being multi and grand multiparous, perception of distance from the health facility as big problem, rural residence, women residing in communities with medium and higher poverty level, and women residing in communities with higher childcare burden had lower odds of SBA delivery. CONCLUSION: Skilled birth attendant delivery had spatial variations across the country. Areas with non-skilled birth attendant delivery and mothers who had no formal education, not health insured, mothers from poor households and communities, Primiparous women, mothers from remote areas, and mothers from communities with higher childcare burden could get special attention in terms of allocation of resources including skilled human power, and improved access to health facilities.

Incidence of Mortality and Its Predictors Among Adult Visceral Leishmaniasis Patients at the University of Gondar Hospital: A Retrospective Cohort Study.

BACKGROUND: Visceral leishmaniasis (VL) is a neglected tropical disease, affecting the poor and productive age group of a country, resulting in a huge impact on its economic development. Even though anti-leishmanial drugs reduce the incidence of mortality among VL patients, there is still death of these patients while on treatment. In this aspect, there are limited studies in Ethiopia; therefore, this study aimed to determine the incidence of mortality and its predictors among adult VL patients at the University of Gondar Hospital. METHODS: Institution-based retrospective cohort study was conducted among 586 adult visceral leishmaniasis patients who were admitted to the University of Gondar Hospital from 2013 to 2018. Data were collected from the patients' charts and registration books, and analyzed using Stata 14 software. Kaplan-Meier failure curve and Log rank test was used to compare the survival probability of patients with independent variables. A multivariable stratified Cox regression model was used to identify predictors of mortality among VL patients. P≤ 0.05 was employed to declare statistically significant factors. Adjusted hazard ratio (AHR) and 95% confidence interval (95% CI) were estimated for potential risk factors included in the multivariable model. RESULTS: A total of 586 VL patients were included in the study. The age of patients ranged from 18 to 55 years with a median age of 27 years. The incidence of mortality was 6.6 (95% CI: 5.2-8.4) per 1000 person-days of observation. Independent predictors of mortality were presence of comorbidity (AHR=2.29 (95% CI: 1.27-4.11)), relapse VL (AHR=3.03 (95% CI: 1.25-7.35)), treatment toxicity (AHR=5.87 (95% CI: 3.30-10.44)), nasal bleeding (AHR=2.58 (95% CI: 1.48-4.51)), jaundice (AHR=2.84 (95% CI: 1.57-5.16)) and being bedridden at admission (AHR=3.26 (95% CI: 1.86-5.73)). CONCLUSION: The incidence of mortality among VL patients was high. Mortality was higher among VL patients with concomitant disease, relapse VL, treatment toxicity, nasal bleeding, jaundice, and those who were bedridden at admission, which implies that great care should be taken for these risky groups through strict follow-up and treatments.