Search

Introduction Despite the high number of patients suffering from the negative impact of diabetic neuropathy (DN) in Ethiopia, evidence regarding the time to DN and its predictors are not well document in Ethiopia. Therefore, the current study aimed to determine time to DN and its predictors among newly diagnosed type 2 diabetes patients (T2DM) in North West Ethiopia. Methods Institutional based retrospective cohort study was conducted among 463 T2DM. Cox proportional hazard model was fitted to identify predictors of time to DN. The adjusted hazard ratio (AHR) with its 95% confidence interval was used to declare the presence and strength of association. Results From a total 463 study participants, 77 (16.63%), (95% CI 13.23%, 20.03%) had developed diabetic neuropathy. The median time to develop DN was 233.77 months. About 40 (51.95%) diabetic neuropathy cases occurred within 6 years of diagnosis of diabetic mellitus. The incidence density was 2.01/100 PY with 95% CI of [1.60, 2.53]. In the multivariable Cox proportional hazard analysis; being aged 65–69 [AHR = 2.78; 95% CI 1.20, 6.46], living with diabetes for less than 4 years [AHR = 3.77; 95% CI 1.82, 7.76], having anaemia [AHR = 3.82; 95% CI 1.66, 8.82] and having other complications [AHR = 1.68; 95% CI 1.03, 2.76 were significant predictors of DN. Conclusion More than half of diabetic neuropathy cases occurred within a short period of diagnosed with T2DM. Significant predictors for the time to DN were age, duration, having anaemia and other DM complication. Therefore, we recommend that early screening for DM and its complication for risky groups. While doing that due consideration should be assumed for old and anemic patients.

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 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.

Adisu Birhanu Weldesenbet,1 Sewnet Adem Kebede,2 Behailu Hawulte Ayele,3 Biruk Shalmeno Tusa1 1Department of Epidemiology and Biostatistics, College of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia; 2Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; 3Department of Public Health and Health Policy, College of Health and Medical Sciences, School of Public Health, Haramaya University, Harar, EthiopiaCorrespondence: Biruk Shalmeno Tusa Email birukshalmeno27@gmail.comBackground: 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.Keywords: health insurance coverage, reproductive age group, Eastern Africa, DHS

Hamdi Fekredin Zakaria,1 Tadesse Awoke Ayele,2 Sewnet Adem Kebede,2 Mesfin Menza Jaldo,3 Bereket Abrham Lajore4 1Department of Epidemiology and Biostatistics, School of Public Health, Haramaya University, Harar, Ethiopia; 2Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia; 3Department of Epidemiology and Biostatistics, School of Public Health, Wachemo University, Hossana, Ethiopia; 4Department of Family Health, Hossana Health Science College, Hossana, EthiopiaCorrespondence: Hamdi Fekredin Zakaria, Email hamdifekredin@gmail.comBackground: In Ethiopia, second-line anti-retroviral therapy (ART) for HIV/AIDS patients was started some years ago; however, few studies have reported the unfavorable outcomes of second-line ART. Therefore, this study aimed to assess the incidence and predictors of unfavorable outcomes and their association with change in viral load among adult HIV/AIDS patients on second-line treatment at selected public hospitals in Addis Ababa, Ethiopia.Methods: A retrospective follow-up study was conducted at selected public hospitals in Addis Ababa, Ethiopia, on 421 HIV/AIDS patients on second-line ART from 2016 to 2021. Cox proportional hazard models with a linear mixed effect model were jointly modeled using the JM package of R software with time-dependent lagged parameterizations, and a 95% confidence interval was used to select significant variables.Results: Overall, 89 HIV/AIDS patients developed unfavorable outcomes. The incidence density was 7.48/100 person-years (95% CI: 6.08, 9.2). Secondary and tertiary educational level (AHR=0.47, 95% CI: 0.25, 0.89, and AHR=0.27, 95% CI: 0.1, 0.72), CD4 count less than 100 cells/mm3 (AHR=2.15, 95% CI: 1.21, 3.83), poor adherence (AHR=3.59, 95% CI: 1.73, 7.49), and TB comorbidity (AHR=2.23, 95% CI: 1.21, 4.14) at the start of second-line ART were significant predictors of incidence of unfavorable outcome. Time-dependent lagged value viral load was significantly associated with the risk of unfavorable outcome (AHR=1.28, 95% CI: 1.01, 1.63).Conclusion: In the study area, the incidence of an unfavorable outcome of second-line ART was high. Secondary and tertiary educational level, CD4 count less than 100 cells/mm3, poor adherence, and TB comorbidity at the start of second-line ART were significant predictors of incidence of unfavorable outcomes. Thus, strengthening routine viral load measurement, increase patient adherence, intensive counseling, and strong TB screening are needed in the study setting.Keywords: second-line ART, viral load change, HIV/AIDS, joint modeling, Ethiopia

Hamdi Fekredin Zakaria,1 Temam Beshir Raru,1 Fila Ahmed Hassen,2 Galana Mamo Ayana,1 Bedasa Taye Merga,2 Gebiso Roba Debele,3 Genet Kiflemariam,4 Sewnet Adem Kebede,5 Tadesse Awoke Ayele5 1Department of Epidemiology and Biostatistics, School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia; 2Department of Public Health and Health Policy, School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia; 3Department of Public Health, College of Health Sciences, Metu University, Metu, Ethiopia; 4International Institute for Primary Health Care, Addis Ababa, Ethiopia; 5Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medical and Health Sciences, University of Gondar, Gondar, EthiopiaCorrespondence: Temam Beshir Raru, Department of Epidemiology and Biostatistics, School of Public Health, College of Health and Medical Sciences, Haramaya University, P.O. Box: 235, Harar, Ethiopia, Email temam.b1@gmail.comIntroduction: Virological suppression for persons living with HIV (PLHIV) on antiretroviral therapy (ART) reached 85% at the end of 2018, still falling short of the UNAIDS target of 95%. In Ethiopia, there were studies on treatment failure focusing on viral suppression and immunological failure of ART users, but none of them have addressed virological failure for second-line regimens.Objective: This study was aimed to estimate the incidence and predictors of virological failure among HIV patients who were switched to second-line ART at the selected public hospitals in Addis Ababa.Methods: An institutional-based retrospective follow-up study was conducted from September 2018 to January 2021 at public hospitals in Addis Ababa. The sample size was determined by using the Schoenfeld formula. Data entry were done by Epi Data version-4.6.0.0 and exported to R-software version-4.1.0 for analysis. Kaplan–Meier methods were used to compare the survival estimates. Cox proportional hazard model was used to identify predictors of virological failure and model adequacy was checked by using the Cox–Snell residuals plot.Results: Overall 44 (12.22%) HIV/AIDS patients developed virological failure with incidence density of 3.57/1000 Person-Month (PM) with 95% CI of [2.65– 4.79]. Age > 45 years (AHR=0.36, 95% CI: 0.12– 0.99), CD4 count < 100cell/mm3 (AHR=3.02, 95% CI: 1.17– 7.78), TB co-infection (AHR=2.48, 95% CI: 1.10– 6.33), ATV/r-based second-line regimen (AHR=0.27, 95% CI: 0.11– 0.70), and poor adherence at the start of second-line ART (AHR=6.18, 95% CI: 1.93– 19.76) were the significant predictors of virological failure.Conclusion: A high incidence of virological failure was noticed. The rate of virological failure was higher for patients who had poor ART adherence, small CD4count, and TB co-infection. Therefore, targeted HIV care interventions shall be provided to young ages and efforts stepped up to improve adherence to ART, which helps to increase immunity and suppress viral replication. In addition, prevention and early detection of TB co-infection are crucial to the patients.Keywords: incidence, second-line antiretroviral therapy, predictors, virological failure, HIV/AIDS

BackgroundNeonatal 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.MethodsUsing 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.ResultsOverall, 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.ConclusionThe 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.

Background:Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods:We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990–2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. Findings:In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (−28·4 to −2·9) for all diabetes, and by 21·0% (–33·0 to −5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (−13·6% [–28·4 to 3·4]) and for type 1 diabetes (−13·6% [–29·3 to 8·9]). Interpretation:Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Funding: Bill & Melinda Gates Foundation.

BackgroundEarly 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.MethodsA 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.ResultsThe 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 ConclusionThe 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.

Background Female genital mutilation (FGM) is a serious health problem globally with various health, social and psychological consequences for women. In Ethiopia, the prevalence of female genital mutilation varied across different regions of the country. Therefore, this study aimed to investigate the trend and determinants of female genital mutilation among reproductive-age women over time. Methods A secondary data analysis was done using 2000, 2005, and 2016 Demographic Health Surveys (DHSs) of Ethiopia. A total weighted sample of 36,685 reproductive-age women was included for analysis from these three EDHS Surveys. Logit based multivariate decomposition analysis was employed for identifying factors contributing to the decrease in FGM over time. The Bernoulli model was fitted using spatial scan statistics version 9.6 to identify hotspot areas of FGM, and ArcGIS version 10.6 was applied to explore the spatial distribution FGM across the country. Results The trends of FGM practice has been decreased from 79.9% in 2000 to 70.4% in 2016 with an annual reduction rate of 0.8%. The multivariate decomposition analysis revealed that about 95% of the overall decrease in FGM practice from 2000 to 2016 was due to the difference in the effects of women’s characteristics between the surveys. The difference in the effects of residence, religion, occupation, education, and media exposure were significant predictors that contributed to the decrease in FGM over time. The spatial distribution of FGM showed variation across the country. The SaTScan analysis identified significant hotspot areas of FGM in Somali, Harari, and Afar regions consistently over the three surveys. Conclusion Female genital mutilation practice has shown a remarkable decrease over time in Ethiopia. Public health programs targeting rural, non-educated, unemployed, and those women with no access to media would be helpful to maintain the decreasing trend of FGM practice. The significant Spatio-temporal clustering of FGM was observed across regions in Ethiopia. Public health interventions must target the identified clusters as well.

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.

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 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.

Background Maternal anemia continues as a global public health concern particularly in developing countries including Ethiopia. It is associated with an increased risk of maternal death, obstetric complications, preterm birth, and low birth weight. Even though maternal anemia is the commonest problem in Ethiopia, there is limited evidence on the spatial distribution and determinants of iron supplementation. Therefore, this study aimed to investigate the spatial distribution and determinants of iron supplementation among pregnant women in Ethiopia. Method A secondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 7589 women was included for analysis. For the spatial analysis; ArcGIS version 10.6, and SaT Scan version 9.6 statistical software were employed to explore the spatial distribution, and to identify significant hotspot areas of iron supplementation in Ethiopia. For the determinant factors, multilevel logistic regression analysis was fitted to identify significant individual and community level determinants of iron supplementation. Deviance, Median Odds Ratio (MOR), and Intra-class Correlation Coefficient (ICC) were used for model comparison and for assessing model fitness. Variables with a p-value of less than 0.2 in the bivariable analysis were considered in the multivariable multilevel analysis. In the multivariable multilevel analysis, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was used to declare significant determinants of iron supplementation. Results The spatial distribution of iron supplementation was significantly varied across the country with Global Moran’s index value of 0.3 (p P Conclusion Iron supplementation among pregnant women were significantly varied across the country. Therefore, the finding of this study could help to design effective public health interventions targeting areas with low iron supplementation and maternal health services should be delivered in all areas of our country. Besides, public health programs should enhance iron supplementation through promoting ANC visits, media exposure, and giving special emphasis to marginalized and remote areas.

Background: Early identification of prognostic factors and close monitoring of the biomarkers is used to monitor the occurrence or progression of diabetic retinopathy. Therefore, this study aimed to assess change in fasting blood sugar level, time to diabetic retinopathy and its predictors among type 2 diabetes patients in Ethiopia.Methods: Institution based retrospective follow-up study was conducted at University of Gondar Comprehensive Specialized Hospital. Linear mixed effect model and cox proportional hazard models were fitted separately and later the two models were fitted jointly using R software. Variables with p-value Result: The incidence rate of diabetic retinopathy was 2 per 100-person year of observation with median follow up time of 90.8 months (IQR: 63.4). The current value and rate of change in fasting blood sugar level were significant predictors of time to diabetic retinopathy (AHR=1.35;95% CI: 1.12-1.63) and (AHR=1.70; 95%CI:1.21-2.39) respectively. Hypertension (AHR=2.49; 95%CI: 1.32-4.66), taking >1 antidiabetic oral agent (AHR=4.90; 95%CI: 1.07-20.0) and more than 10 years duration (AHR=0.17, 95% CI: 0.06-0.46) were predictors of time to diabetic retinopathy.Conclusion: This study revealed that medication, duration, weight, current age, and time have significant association with the progression change of fasting blood sugar. On the other hand, hypertension, medication and duration were significant predictors of time to diabetic retinopathy. The current value of fasting blood sugar and rate of fasting blood sugar change were significantly associated with time to diabetic retinopathy.

Background. Anaemia is one of the commonest blood disorders seen in patients with diabetes. In Ethiopia, chronic illnesses are tremendously raising with their complications. But very little research has been conducted, particularly on anaemia among diabetes mellitus (DM) patients. Therefore, this study aimed at assessing the prevalence of anaemia and associated factors among type 2 diabetes mellitus patients in Northwest Ethiopia. Methods. A cross-sectional study design was employed at University of Gondar Comprehensive Specialized Hospital from March 1 to April 15, 2019, among 372 type 2 diabetes mellitus patients (T2DM). Multivariable logistic regression analysis was fitted, and the corresponding adjusted odds ratio (AOR) and 95% CI were used to identify factors associated with anaemia. Level of significance was declared at the p value less than 0.05. Results. The study revealed 8.06% (95% CI: 5.68–11.31%) of the participants were anaemic. Being male (AOR = 2.74, CI: 1.02, 7.38), combined type of treatment (AOR = 8.38, CI: 1.66, 42.25), having diabetes-related microvascular complications (AOR = 3.24, CI: 1.14, 9.26), and hypertension (AOR = 0.01, CI: 0.002, 0.06) were the significant factors associated with anaemia. Conclusions. The finding of the current study revealed low prevalence of anaemia among T2DM patients. Sex, type of treatment, diabetes-related microvascular complications, and hypertension were factors associated with anaemia. Assessment of haemoglobin levels among T2DM patients may help to prevent ensuing microvascular complications. Incorporate anaemia screening into the routine assessment of diabetic complication particularly for those who are hypertensive and took combined treatment to allow early appreciation and treatment of anaemia and later improve the overall care of patients with diabetes.

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.

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 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.

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.

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 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.

Background: Alcohol drinking and tobacco smoking are the largest preventable cause 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 aimed to assess the spatial distribution of risky health behaviour and its associated factors among adult males in Ethiopia. Methods: Secondary data analysis was conducted among 12,688 men (aged 15–59 years). The distribution of risky health behaviour 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 risky health behaviour. Generalized Structural Equation Model (GSEM) was used to determine factors associated with each domain of risky health behaviour (regular alcohol drinking and tobacco smoking).Results: Risky health behaviour 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 behaviour.Conclusion: Risky health behaviour had spatial variation across the country. The national press media in ban of advertising and promotion of alcohol and tobacco should be strengthen. Aggressive health education efforts should be directed toward this high-risk population (Tigray, Amhara and north-eastern Benishangul regional states). Improving risky health behaviour is an important approach to reducing health disparities and for more cost-effective utilization of scarce resources in the public health sector.

Background: Intimate Partner Violence (IPV) is the most serious and pervasive yet under recognized human rights violation in the world as well as in Ethiopia. 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. 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 Southern Nation and Nationality and Peoples (SNNP) (p < 0.001) regions . Watching television and not having attitudes toward wife beating were negatively associated with physical violence. Being richest and nonsmoker were inversely associated with emotional violence. The odds of experiencing sexual violence were increased among pregnant and wife of uneducated husband/partner. Women’s decision-making autonomy and husband/partner drinking alcohol have positive and negative association with all domains of IPV respectively. Conclusions: There was a significant clustering of IPV in Ethiopia and the highest IPV cluster was observed in Oromia, Somali and SNNP regions. Being richest, watching television, not having attitudes toward wife beating, women’s decision 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 increased among smoker and pregnant women. We recommend that improving the economic status of the household and power of women's decision autonomy, increasing community awareness about the consequences of IPV with particular emphasis in Oromia, Somali and SNNP regions.

Background: Anemia remains a global public health problem. Despite WHO recommended all pregnant women to have iron supplementation, nearly 50% of maternal anemia in SSA was occurred due to lack of iron supplementation during pregnancy. Maternal anemia is associated with an increased risk of maternal death, obstetric complications, preterm birth, and low birth weight. There is limited evidence on the spatial pattern and determinants of iron supplementation using spatial and multilevel analysis methods. Therefore, this study aimed to investigate the spatial pattern, and determinants of iron supplementation in Ethiopia. Methods: We used Ethiopian Demographic Health Survey in 2016 data explore the spatial distribution and associated factors of iron supplementation among women in Ethiopia. A weighted sample of 7589 women were included in the analysis. Bernoulli model was used to explore the purely spatial clusters of pregnant women using SaTScan version 9.6 and ArcGIS version10.3. Multilevel logistic regression analysis was fitted to identify significant individual and community level determinants of iron supplementation. Results: Spatial analysis revealed that there was significant spatial variation of iron supplementation among reproductive age women in Ethiopia with Global Moran’s index value of 0.3 (p

Background Although the World Health Organization recommends for all pregnant women taking iron tablet should be a routine activity, more than 50% of anemia in pregnant women was occurred due to lack of iron supplementation and remains global public health problem and varies with in country. Lack of iron tablet supplementation during pregnancy leads to maternal anemia, which intern increases the risk of maternal death, obstetric complications, preterm birth and low birth weight. Therefore, studying spatial distribution and determinants of iron supplementation use among pregnant women in Ethiopia is vital to design appropriate maternal health services and preventing the determinants earlier. Method: A stratified two-stage cluster sampling technique was used in the Ethiopian Demographic Health Survey in 2016 data. A total of a weighted sample of 7589 pregnant women were included for analysis. Bernoulli model was used to explore the purely spatial clusters of pregnant women using SaTScan version 9.6 and ArcGIS version10.3.A multi-level logistic regression model was used to identify determinant factors of iron supplementation use among pregnant women. Results Spatial distribution of iron supplementation use among pregnant women was non –random in the country with Moran’s index 0.3 (p

ObjectiveOverweight/obesity among women is associated with an increased risk of gestational diabetes, pre-eclampsia, postpartum haemorrhage, low birth weight, congenital malformation and neonatal deaths. Although the magnitude of overweight and obesity among the reproductive age group women is a common problem in Ethiopia, there are limited studies that determine the associated factors of overweight and obesity at the national level. Therefore, this study aimed to identify the determinant factors of overweight/obesity among reproductive age group women in Ethiopia.DesignCross-sectional study design.SettingEthiopia.ParticipantsNon-pregnant women aged 15–49 years.Primary outcomeOverweight/obesity.MethodsThe present study used the Ethiopia Demographic Health Survey (EDHS) data for 2016. A total of 10 938 non-pregnant reproductive age group women were included in the analysis. Both bivariable and multivariable multilevel logistic regression were performed to determine the determinants of overweight and obesity among women in Ethiopia. The OR with a 95% CI was estimated for potential determinants included in the final model.ResultsThose women with secondary education (adjusted OR (AOR)=1.48, 1.01, 2.18), higher education (AOR=1.78, 1.13, 2.81), richer (AOR=1.85, 1.15, 2.98) and richest wealth index (AOR=3.23, 1.98, 5.29), urban residence (AOR=4.46, 2.89, 6.87), married (AOR=1.79, 1.21, 2.64), widowed (AOR=2.42, 1.41, 4.15), divorced (AOR=1.84, 1.13, 3.00), aged 25–34 years (AOR=2.04, 1.43, 2.89), 35–44 years (AOR=2.79, 1.99, 3.93) and 45–49 years (AOR=2.62, 1.54, 4.45) had higher odds of developing overweight and obesity.ConclusionWomen with higher education level, high wealth status, older age, formerly married and those urban dwellers had higher odds of overweight and obesity. Therefore, regular physical activity, reducing consumption of fat/energy-dense food as well as modifying the mode of transportation is recommended.

Additional file 1. Significant clusters of areas with a high proportion of non-SBA delivery among women in Ethiopia.