Health service providers experience of psycho-emotional violence and associated factors among urban hospitals in Eastern Ethiopia.

Background: Psycho-emotional violence, a type of workplace violence targeting healthcare workers, varies across countries, occasions, and professions in the healthcare sector. Unfortunately, there is a scarcity of comprehensive studies focusing on violence against healthcare workers in Ethiopia, which may also encompass psycho-gender-based emotional violence against healthcare workers. Therefore, there is a compelling need for in-depth research to address this gap and develop effective strategies to mitigate psycho-emotional violence in the healthcare sector in Ethiopia, especially in the eastern region. Hence, we aimed to identify the prevalence of and factors associated with workplace psycho-emotional violence against healthcare providers in eastern Ethiopia. Methods: This institution-based cross-sectional study was conducted among 744 health professionals working in urban public hospitals in eastern Ethiopia. Multistage stratified random sampling was used, and data were collected using a standardized structured tool adopted from the WHO workplace violence assessment tool. Binary and multivariable logistic regression analyses were employed to identify factors associated with psycho-emotional workplace violence. Adjusted odds ratio (OR) with 95% confidence interval (CI) was reported, and a p-value of 0.05 was used as the cut-off point to declare significance. Results: Workplace psycho-emotional violence was reported by 57.39% of the healthcare workers. The absence of guidelines for gender-based abuse [AOR = 35.62, 95% CI:17.47, 72.64], presence of measures that improve surroundings (class lighting and privacy) [AOR = 0.58, 95% CI: 0.35, 0.98], training on workplace violence coping mechanism [AOR = 0.16, 95%CI: 0.26, 0.98], spending more than 50% of their time with HIV/AIDS patients [AOR = 1.96, 95%CI:1.05, 3.72], and spending more than 50% of their time with psychiatric patients [AOR = 1.92, 95%CI:1.08, 3.43] were factors significantly associated with workplace violence against health professionals. Conclusion: The prevalence of workplace psycho-emotional violence against health professionals in eastern Ethiopia was relatively high. Improving the working environment decreases the chance of workplace violence; however, there is a lack of guidelines for gender-based violence, the absence of training on coping mechanisms, and spending more time with psychiatric and HIV/AIDS patients' increases workplace violence. We recommend that health institutions develop gender abuse mitigation guidelines and provide training on coping mechanisms.

The association between prenatal cannabis use and congenital birth defects in offspring: A cumulative meta-analysis.

OBJECTIVE: To examine the association between prenatal cannabis use and structural birth defects in exposed offspring. METHODS: In line with the preregistered protocol (PROSPERO: CRD42022368623), we systematically searched PubMed/Medline, CINHAL, EMBASE, Web of Science, ProQuest, Psych-Info, and Google Scholar for published articles until 25 January 2024. The methodological quality of the included studies was appraised by the Newcastle-Ottawa Quality Assessment Scale (NOS). A meta-analysis was carried out to report the pooled effect estimates from the included studies. We further performed subgroup, leave-one-out sensitivity, and meta-regression analyses, which increased the robustness of our findings. RESULTS: In this cumulative meta-analysis, thirty-six observational studies, consisting of 18 case-control and 18 cohort studies, with 230, 816 cases of birth defects and 18,049,013 controls (healthy babies) were included in the final analysis. We found that offspring exposed to maternal prenatal cannabis are at greater risks of a wide range of structural birth defects: cardiovascular/heart [OR = 2.35: 95 % CI 1.63 - 3.39], gastrointestinal [OR = 2.42: 95 % CI 1.61 - 3.64], central nervous system [OR = 2.87: 95 % CI 1.51 - 5.46], genitourinary [OR = 2.39: 95 % CI 1.11 - 5.17], and any (unclassified) birth defects [OR = 1.25: 95 % CI 1.12 - 1.41]. CONCLUSION: The findings from the current study suggest that maternal prenatal cannabis exposure is associated with a higher risk of different forms of structural birth defects in offspring. The findings underscore the significance of implementing preventive strategies, including enhanced preconception counselling, to address cannabis use during pregnancy and mitigate the risk of birth defects in offspring.

Experiences, barriers, and facilitators of health data use among performance monitoring teams (PMT) of health facilities in Eastern Ethiopia: A qualitative study.

BACKGROUND: Routine health data is crucial in decision-making and improved health outcomes. Despite the significant investments in improving Ethiopia's Performance Monitoring Team (PMT), there is limited evidence on the involvement, implementation strategies, and facilitators and barriers to data utilization by these teams responding to present and emerging health challenges. Therefore, this study aimed to explore the PMT experiences, facilitators, and barriers to information use in healthcare facilities in Eastern Ethiopia. METHOD: This study employed a phenomenological study design using the Consolidated Framework for Implementation Research (CFIR) to identify the most relevant constructs, aiming to describe the data use approaches at six facilities in Dire Dawa and Harari regions in July 2021. Key informant interviews were conducted among 18 purposively selected experts using a semi-structured interview guide. Thematic coding analysis was applied using a partially deductive approach informed by previous studies and an inductive technique with the creation of new emerging themes. Data were analyzed thematically using ATLAS.ti. RESULTS: Study participants felt the primary function of PMT was improving health service delivery. This study also revealed that data quality, performance, service quality, and improvement strategies were among the major focus areas of the PMT. Data use by the PMT was affected by poor data quality, absence of accountability, and lack of recognition for outstanding performance. In addition, the engagement of PMT members on multiple committees negatively impacted data use leading to inadequate follow-up of PMT activities, weariness, and insufficient time to complete responsibilities. CONCLUSION: Performance monitoring teams in the health facilities were established and functioning according to the national standard. However, barriers to operative data use included PMT engagement with multiple committees, poor data quality, lack of accountability, and poor documentation practices. Addressing the potential barriers by leveraging the PMT and existing structures have the potential to improve data use and health service performance.

Home delivery among pregnant women with ANC follow-up in Ethiopia; Evidence from the 2019 Ethiopia mini demographic and health survey.

Background: Maternal mortality has remained an international public health problem although it is decreasing in recent years. Developing countries particularly Sub-Saharan African countries bears the high burden of maternal deaths. There was no study conducted to assess prevalence and associated factors of home delivery among women in Ethiopia on antenatal care (ANC) follow up nationally. Therefore, this study was conducted to assess the magnitude and associated factors of home delivery in Ethiopia. Objectives: To assess the magnitude of home delivery and associated factors among women who had ANC follow up in Ethiopia. Methods: Secondary data analysis was carried out using Ethiopian Mini Demography and Health Survey (EMDHS 2019). A total weighted sample of 2,143 women who had ANC follow up during pregnancy was incorporated in the study. In a generalized linear mixed model (GLMM), Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) and p < 0.05 were declared as associated factors of home delivery. Results: The prevalence of home delivery was 31.27% [95% CI: 29.34%, 33.27%] among women who had ANC follow up in Ethiopia. Attended higher education [AOR = 0.27; 95% CI: (0.13, 0.54)], rural resident [AOR = 2.15; 95% CI: (1.19, 3.90)], richest in the wealth index [AOR = 0.18; 95% CI: (0.10, 0.32)], had adequate ANC follow up [AOR = 0.25; 95% CI: (0.13, 0.51)] and being in third trimesters [AOR = 0.64; 95% CI: (0.49, 0.83)] during first ANC visit were significantly associated factors of home delivery. Conclusion: Near to one-third of women in Ethiopia have delivered their babies at home even if they had an ANC follow up. Educational status, place of residence, wealth index, timing of first antenatal check and adequate ANC visit has shown significant association with home delivery. Therefore, focused intervention packages need to be implemented at all levels of the health care system in Ethiopia to improve health seeking behaviors of women who have ANC follow up to have delivery in health care institutions. While doing so, special attention should be given for poor, uneducated and rural dweller women.

Food insecurity and its associated factors among lactating mothers in the Chiro district, Eastern Ethiopia: A community-based cross-sectional study.

Introduction: Lactating mothers are extremely vulnerable to both macro and micronutrient deficiencies due to the increased nutritional requirements and high magnitude of food insecurity in low-income countries. However, there are a dearth of studies conducted in sub-Saharan African countries regarding this study area. Thus, this study aimed to assess the magnitude of food insecurity and its associated factors among lactating mothers in the Chiro district, eastern Ethiopia. Methods: A community-based cross-sectional study was conducted among 446 randomly selected lactating mothers from 1-30 June, 2020. Data were collected through face-to-face interviews using a structured and pre-tested questionnaire. Data were entered using EpiData version 3.1 and exported to STATA version 14.2 for cleaning and analysis. Bi-variable and multivariable binary logistic regression analyses were fitted to check the association between independent variables and food insecurity. The level of statistical significance was declared at a p-value < 0.05. Results: The magnitude of food insecurity among lactating mothers was 68.8 % (95 % CI: 64.4, 72.9) and 12.1% (95 % CI: 9.4, 15.5) were severely food insecure. Residing in the rural (AOR =2.36, 95% CI:1.21, 4.62), poor wealth indices (AOR =4.68, 95% CI:2.02, 10.8), owning farmland of less than a hectare (AOR =2.35, 95% CI:1.06, 5.19), mothers who had less than three meals a day (AOR =2.70, 95% CI:1.33, 5.46), and who did not have their own income (AOR =2.32, 95% CI:1.36, 3.96) were significantly associated factors with food insecurity among lactating mothers. Conclusion: Food insecurity is highly prevalent in lactating mothers' households. Therefore, the government and other stakeholders need to take action that addresses factors affecting mothers' food security status through strengthening nutrition-sensitive interventions.

Time to First Line Antiretroviral Therapy Adverse Drug Reaction and its Predictors Among Adult HIV/AIDS Patients on Treatment in Eastern Ethiopia.

Background: Even though determining the time to anti-retroviral therapy (ART) adverse drug reaction and its predictors is a crucial step to overcome the negative consequences of the adverse drug reaction, there is limited information regarding the time to ART adverse drug reaction and its predictors. Therefore, this study aimed to determine the time to first ART adverse drug reaction and its predictors among adult HIV/AIDS patients on first-line antiretroviral therapy in West Hararghe Zone, Eastern Ethiopia. Methods: An institution-based retrospective cohort study was conducted on 561 HIV/AIDS patients on first-line ART from September 2013-January 2019 at public hospitals in West Hararghe Zone, Eastern Ethiopia. Data were collected using checklists and document reviews, entered using Epi Info and analyzed in R software. A Cox proportional hazard model was fitted to identify predictors of the time to first ART adverse drug reaction. Model adequacy was checked using Cox Snell residuals. An adjusted hazard ratio with its confidence interval was used to show the presence and strength of association at a 95% confidence level. Result: Most (90.74%) ART adverse drug reactions occurred within 1 year of initiation of ART. Overall, 54 patients developed ART adverse drug reactions with an incidence density of 3.5/100 persons-years of observations (95% CI: 2.7-4.6). The initial ART regimen (TDF, 3TC, EFV) [AHR = 0.3, 95% CI 0.1-0.7], fair adherence [AHR = 8.8, 95% CI 3.3-23.2], poor adherence [AHR = 7.8, 95% CI 3.1-19.5], moderate body mass index (BMI) at the baseline [AHR = 4.4, 95% CI 1.8-11.0], severe body mass index [AHR = 2.8, 95% CI 1.1-6.8], World Health Organization (WHO) stage II [AHR = 3.7, 95% CI 1.2-11.3] and WHO stage IV [AHR = 6.3, 95% CI 2.0-19.8] were significant predictors of the time to ART adverse drug reactions. Conclusion: In conclusion, most of the ART adverse drug reactions occurred within 1 year of initiation of ART. The initial ART regimen (TDF, 3TC, EFV), adherence, HIV/AIDS stage, and BMI were risk factors for the time to ART adverse drug reaction. The incidence of the antiretroviral therapy adverse reaction was relatively low with early onset. Close monitoring of clients in clinical stage II and above is required and continuous assessment for improving the detection and management of adverse drug reactions is recommended. Patients with poor adherence need to get continuous counseling to improve their adherence status.

More Than One-Third of Pregnant Women in Ethiopia Had Dropped Out From Their ANC Follow-Up: Evidence From the 2019 Ethiopia Mini Demographic and Health Survey.

Background: In Ethiopia, the magnitude of antenatal care (ANC) practice and institutional delivery is low as compared with developed countries. The majority of the pregnant women have not completed their ANC follow-up and only 43% of women have reached the four and above ANC. This study was conducted to determine the magnitude of ANC dropout and associated factors among pregnant women in Ethiopia. Methods: Secondary data analysis was conducted using the 2019 Ethiopia Mini Demographic and Health Survey 2019 (2019 EMDHS). The sample was selected using a stratified, two-stage cluster sampling design and the data were analyzed using the binary logistic regression model to identify factors associated with ANC dropout. Adjusted odds ratio (AOR) with 95% CI was reported to declare significance and strength of association. A total weighted sample of 2,143 women who had antenatal care follow-up during pregnancy was included. In the multivariate logistic regression analysis, variables having a p-value < 0.05 were considered to have a significant association with ANC dropout. Result: The magnitude of ANC dropout was 39.12% (95% CI: 37.07 and 41.20%) among women who had ANC follow-up in Ethiopia. Aged 30-49 years [AOR = 0.71; 95% CI: (0.54, 0.94)], attended primary [AOR = 0.79; 95% CI: (0.62, 0.99)], secondary [AOR = 0.63; 95% CI: (0.44, 0.87)], and higher education [AOR = 0.39; 95% CI: (0.25, 0.62)], were in first trimesters [AOR = 0.49; 95% CI: (0.40, 0.60)] at the time of first ANC visit, and had access to laboratory service [AOR = 0.25; 95% CI: (0.13, 0.51)] were found to be a negative significant associated factors of ANC dropouts, whereas being rural resident [AOR = 1.53; 95% CI: (1.11, 2.10)] has a positive significant association with ANC dropouts. Conclusion: More than one-third of the pregnant women in Ethiopia had dropped out from their ANC follow-up in the study period. Being old-aged, educated, urban resident, having a first ANC visit in the first trimester, and having access to laboratory service were negatively associated with ANC dropouts. Therefore, we recommended encouraging women to have ANC visit at an early stage of pregnancy and conducting basic laboratory investigations during their visit. When undertaking that, due attention should be given to young, uneducated, and rural dweller women.

Spatial Distribution and Determinant Factors of Handwashing Practice With Essential Agents Among Households in Ethiopia.

Objectives: This study aimed to assess the spatial distribution and determinant factors of handwashing practice using essential handwashing agents (soap and water) among households in Ethiopia. Methods: A two-stage stratified cluster sampling technique was used. Mixed-effect logistic regression analysis was also used to identify determinants of handwashing practice with essential agents. Results: In Ethiopia, household handwashing practices with essential agents had spatial variation (Moran's Index 0.62, p < 0.001). The Amhara and Somali regions were identified as significant hotspots with low handwashing practice using essential agents. Conclusion: In Ethiopia, handwashing practice with essential agents showed spatial variation across the country with a very low rate. Areas with low handwashing practice with essential agents need high priority in the allocation of resources to ensure communities' access to fixed and portable handwashing facilities, soap, and reliable water supplies. Households with low access to improved sanitation facilities, low wealth status, and low educational status should be targeted for the intervention.

Spatial Distribution and Factors Associated With Risky Health Behavior Among Adult Males Aged 15-59 Years in Ethiopia: Generalized Structural Equation Modeling.

Background: Alcohol drinking and tobacco smoking are the largest preventable causes of death and important risk factors for a number of non-communicable diseases and cause premature death and many socioeconomic consequences. Therefore, the present study is aimed to assess the spatial distribution of risky health behavior and its associated factors among adult males in Ethiopia. Methods: All men (12,688) within the age range of 15-59 years were included in the final analysis. The distribution of risky health behavior across the country was observed by using ArcGIS software. In SaTScan software, the Bernoulli model was fitted by Kulldorff methods to identify the purely spatial clusters of risky health behavior. Generalized Structural Equation Model (GSEM) was used to determine factors associated with risky health behavior (regular alcohol drinking and tobacco smoking). Results: Risky health behavior had spatial variation across the country. The primary clusters were located in Tigray, Amhara, and north-eastern Benishangul national regional states. Spatial scan statistics identified 118 primary clusters [Log-Likelihood ratio (LLR) = 524.8, p < 0.001]. Residence, frequency of listening to a radio, occupation, and frequency of watching television were significantly associated with drinking alcohol, whereas wealth index was associated with tobacco smoking. Age, region, educational status, marital status, and religion had association with both domains of risky health behavior. Conclusion: Risky health behavior had spatial variation across the country. Bans on advertising and promotion of alcohol and tobacco on national press media should be strengthened. Aggressive health education efforts should be directed toward this high-risk population (Tigray, Amhara, and north-eastern Benishangul regional states). Improving risky health behavior is an important approach to reducing health disparities and promoting a more cost-effective utilization of scarce resources in the public health sector.

Determinants of Postnatal Care and Timing of the First Postnatal Care for Newborns in Ethiopia: Further Analysis of 2019 Ethiopian Demographic and Health Survey.

Background: Neonatal mortality remains a persisting public health challenge in Ethiopia. Most of the factors that lead to neonatal deaths could be prevented through postnatal checkups. However, in Ethiopia, the provision of postnatal care (PNC) continues to be low. This study aims to assess the socioeconomic and demographic factors associated with PNC visits and the timing of PNC among newborns in Ethiopia. Methods: Using the Ethiopia Mini Demographic and Health Survey (EMDHS) 2019, a total weighted sample of 2,105 women aged 15-49 giving birth in the 2 years preceding the survey were included in the study. The generalized linear mixed models were separately fitted to identify factors associated with any PNC for newborns delivered at home and health facilities. Multinomial logistic regression was used to assess the timing of PNC with their associated factors. Results: Overall, only 13% (95% CI: 11.2, 14.0) of the newborns received PNC in Ethiopia. Among newborns delivered at home, utilization of any PNC was determined by region, maternal educational status, and birth order. On the other hand, among newborns delivered in a health facility, region, number of antenatal care (ANC) visits, and religion were determinants of any PNC. Furthermore, utilization of the first PNC within 48 h after the delivery was determined by region and religion. On the other hand, utilization of the first PNC after 48 h after the delivery was determined by region number of ANC visits, maternal educational status, and religion. Conclusion: The finding of the current study revealed low coverage of PNC among newborns regardless of the place of delivery in Ethiopia. The study makes the following recommendation: increase community health education on PNC, encourage delivery at health facilities, and link community home birth with PNC. It will be more valuable if there is sharing good practice.

Prevalence and associated factors of home delivery in Eastern Africa: Further analysis of data from the recent Demographic and Health Survey data.

Objectives: The current study aimed to determine the magnitude of home delivery and its associated factors in East Africa using data from the Demographic and Health Survey. Methods: We pooled data from the Demographic and Health Survey of the 11 East African countries and included a total weighted sample of 126,107 women in the study. The generalized linear mixed model was fitted to identify factors associated with home delivery. Variables with adjusted odds ratio with a 95% confidence interval, and p value < 0.05 in the final generalized linear mixed model were reported to declare significantly associated factors with home delivery. Result: The weighted prevalence of home delivery was 23.68% (95% confidence interval: [23.45, 23.92]) among women in East African countries. Home delivery was highest in Ethiopia (72.5%) whereas, it was lowest in Mozambique (2.8%). In generalized linear mixed model, respondent's age group, marital status, educational status, place of residence, living country, wealth index, media exposure, and number of children ever born were shown significant association with the home delivery in the East African countries. Conclusion: Home delivery varied between countries in the East African zone. Home delivery was significantly increased among women aged 20-34 years, higher number of ever born children, rural residence, never married, or formerly married participants. On the contrary, home delivery decreased with higher educational level, media exposure, and higher wealth index. Wide-range interventions to reduce home delivery should focus on addressing inequities associated with maternal education, family wealth, increased access to the media, and narrowing the gap between rural and urban areas, poor and rich families, and married and unmarried mothers.

Magnitude and determinants of intimate partner violence against women in East Africa: multilevel analysis of recent demographic and health survey.

BACKGROUND: Violence against women is a significant public health problem, and human rights abuse, and is associated with multiple adverse physical, mental, sexual, and reproductive health effects. The current study aimed to determine the magnitude of intimate partner violence (IPV) and its determinant factors in East African countries. METHODS: We utilized the most recent demographic and health survey data from 11 East African countries, which was comprised of a weighted sample of 55,501 ever-married women. A multilevel multivariable logistic regression analysis was applied. We used an adjusted odds ratio with a 95% CI and a p value ≤ 0.05 in the multilevel logistic model to declare significant factors associated with IPV. RESULTS: The overall prevalence of all forms of IPV in East African countries was 32.66% [95% CI 32.27, 33.05], with the highest IPV occurring in Uganda (14.93%) and the lowest IPV recorded in Comoros (0.87%). In the multivariable multilevel logistic regression model, women's education, residence, sex of household head, current pregnancy, husband drinking alcohol, attitude towards wife-beating husband controlling behavior, and women's decision-making autonomy were significantly associated with IPV. CONCLUSION: The risk factors noted above increase the likelihood of a woman experiencing IPV. Therefore, we recommend establishing effective health and legal response services for IPV, raising awareness of the existing legislation service and improving its application, strengthening legislations on purchasing and selling of alcohol, strengthening joint (both husband and wife) decision-making power by empowering women, improving the educational level of women, and establishing measures to break the culture of societal tolerance towards IPV.

Spatial distribution and determinant factors of intimate partner violence among reproductive age group women in Ethiopia: Using generalized structural equation modeling.

INTRODUCTION: Intimate Partner Violence (IPV) is the most serious and pervasive yet under-recognized human rights violation in the world, particularly in Ethiopia. Hence, the objective of this study was to find the spatial distribution of IPV and its determinant factors in Ethiopia. METHODS: Secondary data analysis was conducted among 2,687 reproductive age group women (15-49 years). The distribution of IPV across the country was observed by ArcGIS software. In SaTScan software, the Bernoulli model was fitted by Kulldorff methods to identify the purely spatial clusters of IPV. Besides, Generalized Structural Equation Model (GSEM) was used to determine factors associated with each domain of IPV (physical, emotional & sexual violence). RESULT: The spatial distribution of IPV was found to be clustered in Ethiopia with Global Moran's I 0.09 (p < 0.001), and the highest IPV cluster was observed in Oromia (p < 0.001), Somali (p < 0.001) and SNNP (p<0.001) regions. Watching television and not having attitudes toward wife beating were negatively associated with physical violence. Being rich and nonsmoker were inversely associated with emotional violence. The odds of experiencing sexual violence were high among pregnant women and wives of uneducated husbands/partners. In addition, women's decision-making autonomy and husband/partner drinking alcohol have positive and negative associations with all domains of IPV respectively. CONCLUSION: There was a significant clustering of IPV in Ethiopia and the highest IPV cluster was observed in Oromia, Somali and SNNP regions. Being rich, watching television, not having attitudes toward wife beating, women's decision-making autonomy, and husband's/partner's high education and non-alcohol drinker status were negatively associated with IPV. The likelihood of experiencing IPV was also high among smokers and pregnant women. Thus, we recommend that improving the economic status of the household through social protection and empowerment of women in decision-making autonomy by education and employment and increasing community awareness about the consequences of IPV with particular emphasis on Oromia, Somali and SNNP regions is essential.

Spatial distribution, prevalence, and determinants of unintended pregnancy among youth (15-24) in Ethiopia: Further analysis of Ethiopia Demographic and Health Survey.

OBJECTIVES: This study aimed to determine the spatial distribution, prevalence, and determinant factors of unintended pregnancy among youth in Ethiopia. METHODS: Using the Ethiopian Demographic and Health Survey 2016, a total of 2446 pregnant women aged 15-24 in the last 5 years, including current pregnancy, were included in the study. The unintended pregnancy data were spatially visualized using coordinates for each respondent in the survey using ArcGIS 10.3. The Bernoulli model was used to identify the presence of purely spatial unintended pregnancy cluster using SaTScan software. Logistic regression analysis was fitted to determine factors associated with unintended pregnancy among youth. RESULTS: Unintended pregnancy among youth had spatial variation across the country. Among youth, 20.5% (confidence interval: (19.0, 22.2)) of pregnancies were estimated to be unintended. Spatial scan statistics identified 72 primary clusters (log-likelihood ratio of 37.6, at p < 0.001) which were located in Addis Ababa, southern part of Amhara, northwest of Oromia and northeast of Southern Nations, Nationalities and Peoples Region. Age, region, marital status, occupation, sex of household head, and number of household members were the determinant factors of unintended pregnancy among youth in Ethiopia. CONCLUSION: The distribution of unintended pregnancy among youth in Ethiopia was nonrandom. Unintended pregnancy prevention strategies among youth need to be targeted on the identified factors. Hence, we recommend creating awareness on sexual and reproductive health rights with special priority to the identified hotspot areas (Amhara, Addis Ababa, Gambella, Northern part of Southern Nations, Nationalities and Peoples Region, and northwest of Oromia region) to reduce unintended pregnancy.

Incidence of Diabetic Nephropathy and Its Predictors among Type 2 Diabetes Mellitus Patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.

BACKGROUND: Although the rate of diabetic nephropathy which is the leading cause of end-stage renal disease (ESRD) continues to rise, there is limited information about the problem. This study aimed to assess the incidence and predictors of diabetic nephropathy among type 2 DM patients. METHODS: Institution-based retrospective follow-up study was conducted at UGCSH with 462 newly diagnosed type 2 DM patients from January 2001 to February 2016, and the data were collected by reviewing their records. The Schoenfeld residuals test was used to check proportional hazard assumption. The best model was selected by using Akaike information criteria (AIC). Hazard ratios (HR) with its respective 95% confidence interval were reported to show significance and strength of association. RESULTS: The incidence rate of diabetic nephropathy was 14 (95% CI 10.8-17.7) cases per 10,000 patient-month observation. In addition, 63 (13.6%) DM patients developed diabetic nephropathy. The median time to develop diabetic nephropathy was 94.9 months with interquartile range (IOR) of (64.1-127.4) months. Type 2 DM patients who had coronary heart disease (AHR = 2.69, 95% CI 1.42-5.13) and anemia (AHR = 1.94, 95% CI 0.97-3.87) were at higher hazard for developing diabetic nephropathy. Besides this, having a long duration (>10 years) (AHR = 0.24, 95% CI 0.11-0.56) and being female (AHR = 0.44, 95% CI 0.26-0.73) was found to be protective against diabetic nephropathy. CONCLUSION: The incidence of diabetic nephropathy among type 2 diabetes patients remains a significant public health problem. Duration of diabetes >10 years and female sex reduced the risk of diabetic nephropathy. Coronary heart disease and anemia increased the risk of diabetic nephropathy among type 2 DM patients. In light of these findings, early screening for diabetes complication is needed, and health professionals should give targeted intervention for type 2 DM patients with coronary heart disease comorbidity and anemia.

Magnitudes of Anemia and Its Determinant Factors Among Lactating Mothers in East African Countries: Using the Generalized Mixed-Effect Model.

Background: The number of studies on the magnitude of anemia and its determinant factors among lactating mothers is limited in East African countries regardless of its multivariate consequences. Even though few studies were conducted on the magnitude of anemia and its determinants, most of them focused on the country level and different parts of countries. Therefore, the current study is aimed to determine the magnitude of anemia and determinant factors among lactating mothers in East African countries. Methods: From nine East African countries, a total weighted sample of 25,425 lactating mothers was included in the study. Determinate factors of anemia were identified using generalized linear mixed models (GLMM). Variables with a p < 0.05 in the final GLMM model were stated to confirm significant association with anemia. Result: The magnitude of anemia in East African countries was found to be 36.5% [95% confidence interval (CI): 35.55%, 36.75%]. Besides, as for the generalized linear mixed-effect model, age, educational status, working status, country of residence, wealth index, antenatal care service, place of delivery, history of using family planning in a health facility, current pregnancy, and visited by fieldworker in the last 12 months were factors that have a significant association with anemia in lactating mothers. Conclusion: In East Africa, more than one-third of lactating mothers have anemia. The odds of anemia were significantly low among young mothers (15-34), who had primary education, were working, country of residence, and higher wealth index (middle and high). In addition, the likelihood of anemia was also low among lactating mothers who had antenatal care, used family planning, delivered at a health facility, were pregnant during the survey, and visited by fieldworkers. Therefore, promoting maternal care services (family planning, Antenatal Care (ANC), and delivery at health facilities) and a field visit by health extension workers are strongly recommended.

Health Insurance Coverage and Its Associated Factors Among Reproductive-Age Women in East Africa: A Multilevel Mixed-Effects Generalized Linear Model.

BACKGROUND: Despite improvement in access to modern healthcare services in East African countries, health-service delivery and health status of the population remained poor mainly due to the weak health-sector financing system. Therefore, the current study aimed to assess the health insurance coverage and its associated factors among reproductive-age group (RAG) women in East Africa. METHODS: The most recent (between 2010 and 2018) Demographic and Health Surveys (DHS) data of the ten East African countries (Burundi, Comoros, Ethiopia, Kenya, Malawi, Mozambique, Tanzania, Uganda, Zambia, and Zimbabwe) were included. STATA version 16.0 statistical software was used for data processing and analysis. In the multilevel mixed-effects generalized linear model, variables with a p-value ≤0.05 were declared as significant associated factors of health insurance coverage. RESULTS: The overall health insurance coverage in East Africa was 7.56% (95% CI: 7.42%, 7.77%). The odds of health insurance coverage were high among educated, currently working, and rich RAG women whereas it was low among rural residents. Besides, RAG women who have media exposure, visited by field workers, and visited health facilities have a higher chance of health insurance coverage. CONCLUSION: Health insurance coverage in East Africa among RAG women was below ten percent. Educational status, working status, place of residence, wealth index, media exposure, visiting health facility within 12 months and being visited by field worker were significantly associated with health insurance coverage among RAG women in East Africa. Improving women's access to health facilities, promoting field workers' visit, and media exposure targeting uneducated, unemployed, and rural resident women of RAG will be a gateway to promote health insurance coverage.

Spatial distribution of traditional male circumcision and associated factors in Ethiopia; using multilevel generalized linear mixed effects model.

BACKGROUND: Traditional male circumcision (TMC) is primarily associated with a religious or cultural purpose and may lead to complications. To reduce risks of complication and long-term disabilities that may happen from circumcisions that are undertaken in non-clinical settings, information concerning TMC is very important. Therefore, this study is aimed at identifying spatial distribution of TMC and the factors associated with TMC in Ethiopia. METHODS: A secondary data analysis was conducted among 11,209 circumcised males using data from 2016 Ethiopian Demographic and Health Survey (EDHS). Global Moran's I statistic was observed to check whether there was a significant clustering of TMC. Primary and secondary clusters of TMC were identified by fitting Bernoulli model in Kulldorff's SaTScan software. Multilevel Generalized Linear Mixed effects Model (GLMM) was fitted to identify factors associated with TMC. RESULT: The spatial distribution of TMC was nonrandom across the country with Global Moran's I = 0.27 (p-value < 0.0001). The primary clusters of TMC were identified in the southern part of Oromia and Tigray, northern part of SNNPR, Amhara, Gambella and Benishangul regions. Current age, age at circumcision, ethnicity, religion, place of residence, wealth index, media exposure, sex of household head and age of household head were factors associated with TMC in Ethiopia. CONCLUSIONS: The spatial distribution of TMC was varied across the country. This variation might be due to the diversity of culture, ethnicity and religion across the regions. Thus, there is a need to rearrange the regulations on standards of TMC practice, conduct training to familiarize operation technique and general hygiene procedures, and launch cross-referral systems between traditional circumcisers and health workers. While undertaking these public health interventions, due attention should be given to the identified clusters and significant factors.

Spatial distribution and determinant factors of anemia among adults aged 15-59 in Ethiopia; using mixed-effects ordinal logistic regression model.

BACKGROUND: Anemia is a global public health problem, particularly in developing countries. Assessing the geographic distributions and determinant factors is a key and crucial step in designing targeted prevention and intervention programmes to address anemia. Thus, the current study is aimed to assess the spatial distribution and determinant factors of anemia in Ethiopia among adults aged 15-59. METHODS: A secondary data analysis was done based on 2016 Ethiopian Demographic and Health Surveys (EDHS). Total weighted samples of 29,140 adults were included. Data processing and analysis were performed using STATA 14; ArcGIS 10.1 and SaTScan 9.6 software. Spatial autocorrelation was checked using Global Moran's index (Moran's I). Hotspot analysis was made using Gettis-OrdGi*statistics. Additionally, spatial scan statistics were applied to identify significant primary and secondary cluster of anemia. Mixed effect ordinal logistics were fitted to determine factors associated with the level of anemia. RESULT: The spatial distribution of anemia in Ethiopia among adults age 15-59 was found to be clustered (Global Moran's I = 0.81, p value <  0.0001). In the multivariable mixed-effectordinal regression analysis; Females [AOR = 1.53; 95% CI: 1.42, 1.66], Never married [AOR = 0.86; 95% CI: 0.77, 0.96], highly educated [AOR = 0.71; 95% CI: 0.60, 0.84], rural residents [AOR = 1.53; 95% CI: 1.23, 1.81], rich wealth status [AOR = 0.77; 95% CI: 0.69, 0.86] and underweight [AOR = 1.15; 1.06, 1.24] were significant predictors of anemia among adults. CONCLUSIONS: A significant clustering of anemia among adults aged 15-59 were found in Ethiopia and the significant hotspot areas with high cluster anemia were identified in Somalia, Afar, Gambella, Dire Dewa and Harari regions. Besides, sex, marital status, educational level, place of residence, region, wealth index and BMI were significant predictors of anemia. Therefore, effective public health intervention and nutritional education should be designed for the identified hotspot areas and risk groups in order to decrease the incidence of anemia.

Prevalence of erectile dysfunction and its associated factors among patients with diabetes in Ethiopia: a systematic review and meta-analysis.

OBJECTIVES: We aimed to estimate the pooled prevalence of erectile dysfunction (ED) among patients with diabetes mellitus (DM) in Ethiopia and to identify its associated factors. METHODS: We performed a systematic search of scientific databases (PubMed, ScienceDirect); the grey literature was also searched (Google, Google Scholar). Data were extracted from primary studies using a data extraction format and exported for statistical analysis. I2 tests were used to assess the heterogeneity of studies. Owing to heterogeneity among the included studies, we used a random-effects model to determine pooled estimates of ED. Publication bias was assessed using Egger's and Begg's tests. RESULTS: The pooled prevalence of ED among patients with DM in Ethiopia was 54.3% (95% confidence interval [CI]: 28.2-80.5). Older age (OR: 4.42, 95% CI: 2.83-6.00) and duration of DM (OR: 3.2, 95% CI: 1.74-4.66) had statistically significant associations with ED. CONCLUSION: One in two individuals with DM in Ethiopia also had ED. This finding highlights the need to integrate assessment and management of ED into routine medical care in diabetes follow-up visits. Special attention is recommended for patients with older age and a longer duration of DM.