Background: In spite of the promotion of institutional delivery in Ethiopia, home delivery is still common primarily in hard-to-reach areas. Institutional delivery supported to achieve the goal of reducing maternal and neonatal mortality in Ethiopia. The objective of this study is to assess the determinants of institutional delivery in Ethiopia. Methods: Cross sectional survey was conducted in 11 administrative regions of Ethiopia. The Ethiopian demographic and health survey data collection took place from January 18, 2016, to June 27, 2016. The study subjects were 11,023 women (15-49 years old) who gave birth in the preceding 5 years before 2016 Ethiopian demographic health survey. This representative data was downloaded from Demographic Health Survey after getting permission. The Primary outcome variable was institutional delivery. The data was transferred and analyzed with SPSS Version 20 statistical software package. Results: Of 11,023 mothers, 2892 (26.2%) delivered at a health facility and 8131 (73.8%) at home. Women with secondary education were 4.36 times more likely to have an institutional delivery (OR: 4.36; 95% CI: 3.12-6.09). Institutional delivery was higher among women who were resided in urban areas by three fold (OR: 3.26; 95% CI: 2.19-4.35). Women who visited ANC (Antenatal care) were about two times more likely to choose institutional delivery (OR: 1.81; 95% CI: 1.58-2.07). Respondents who watch television at least once a week was two times more likely to experience institutional delivery than those who did not watch at all (0R: 1.90; 95% CI: 1.35-2.66). The wealthiest women were 2.61 times more likely to deliver in an institution compared with the women in the poorest category (OR: 2.61; 95% CI: 1.95-3.50). Conclusion: Women having higher educational level, being richest, residing in urban area, visiting antenatal care at least once, and frequent exposure to mass media were factors associated with institutional delivery. Improving access to education and health promotion about obstetrics and delivery through mass media will increase the uptake of institutional delivery.

Objective: To identify the determinants for enrollment decision in the community-based health insurance program among informal economic sector-engaged societies, North West Ethiopia. Method: Unmatched case-control study was conducted on 148 cases (member-to-insurance) and 148 controls (not-member-to-insurance program) from September 1 to October 30,2016. To select the villages and households, stratified then simple random sampling method was employed respectively. The data were entered in to Epi-info version 7 and exported to SPSS version 20 for analysis. Descriptive statistics, bi-variable, and multi-variable logistic regression analyses were computed to describe the study objectives and identify the determinants of enrolment decision for the insurance program. Odds ratio at 95% CI was used to describe the association between the independent and outcome variables. Results: A total of 296 respondents (148 cases and 148 controls) were employed. The mean age for both cases and controls were 42 ± 11.73 and 40 ± 11.37 years respectively. Majority of respondents were males (87.2% for cases and 79% for controls). Family size between 4 and 6 (AOR = 2.26; 95% CI: 1.04, 4.89), history of illness by household (AOR = 3.24; 95% CI: 1.68, 6.24), perceived amount of membership contribution was medium (AOR = 2.3; 95% CI: 1.23, 4.26), being married (AOR = 6; 95% CI:1.43, 10.18) and trust on program (AOR = 4.79; 95% CI: 2.40, 9.55) were independent determinants for increased enrollment decision in the community-based health insurance. While, being merchant (AOR = 0.07; 95% CI: 0.09, 0.6) decreased the enrollment decision. Conclusion: Societies' enrollment decision to community-based health insurance program was determined by demographic, social, economic and political factors. Households with large family sizes and farmers in the informal sector should be given maximal attention for intensifying enrollment decision in the insurance program.

Objective: - To identify determinants for enrollment decision in the community based health insurance program among informal economic sector engaged societies, North West Ethiopia.Method:-Unmatched case control study was conducted on 148 cases (member to insurance) and 148 controls (not member to insurance program) from September 1- October 30 2016. Stratified then simple random sampling method was employed. The data were entered in to Epi-info version 7 and exported to SPSS version 20 for analysis. Descriptive statistics, bi-variable, and multi-variable logistic regression analyses were computed to describe the study objectives and identify the determinants of enrolment decision for the insurance program. Odds ratio at 95 % CI was used to describe the association between the independent and the outcome variables. Result: - A total of 296 respondents (148 cases and 148 controls) were employed. A mean age for cases and controls was 42 ± 11.73 and 40 ± 11.37 years respectively. Majority of respondents were males (87.2 % for cases and 79 % for controls). Family size between 4 and 6 (AOR=2.26; 95% CI: 1.04, 4.89), history of illness by household (AOR=3.24; 95% CI: 1.68, 6.24), perceived amount of membership contribution was medium (AOR=2.3; 95% CI: 1.23, 4.26), being married (AOR=6; 95% CI:1.43, 10.18) and trust on program (AOR=4.79; 95% CI: 2.40, 9.55) were independent determinants for increased enrolment decision in the CBHI. While, being merchant (AOR=0.07; 95% CI: 0.09, 0.6) decreased the enrolment decision. Conclusion: - Societies enrollment decision to community based health insurance program was determined by demographic, social, economic and political factors. Households with large family size and farmers in the informal sector should be given maximal attention for escalating enrolment decision in the insurance program.

BackgroundNeurocognitive impairment is associated with psychological morbidities, such as depression and anxiety, among people living with HIV. The presence of these comorbidities affects viral load suppression, treatment adherence, quality of life, treatment outcomes, and functionality. Despite this fact, there is a dearth of studies that examined the triple burden of neurocognitive impairment and co-occurring depression and anxiety among antiretroviral therapy attendees in Ethiopia. This study aimed to assess the magnitude of HIV-associated neurocognitive impairment and co-occurring depression and anxiety at the same time among people living with HIV/AIDS.MethodWe conducted an institution-based multicenter cross-sectional study in Bahir Dar, Northwest Ethiopia. A total of 410 study participants were selected using a systematic random sampling technique. Neurocognitive impairment was assessed using the International HIV Dementia Scale. Co-occurring depression and anxiety were assessed using the Hospital Anxiety and Depression Scale. A semi-structured questionnaire was applied to collect data on sociodemographic and clinical-related characteristics. Data were analyzed using descriptive statistics and univariate and multivariable logistic regression.ResultsTwo-thirds (66.8%) of the people living with HIV had neurocognitive impairment. The prevalence of co-occurring depression and anxiety was found in 39.8%. Women with HIV, people with comorbid chronic medical illness, and those under a second-line treatment regimen were factors associated with neurocognitive impairment. Furthermore, pill burden, second-line treatment regimen, HIV clinical stages, social support, HIV-perceived stigma, and neurocognitive impairment were associated factors with co-occurring depression and anxiety.ConclusionsWe found a high prevalence of neurocognitive impairment and co-occurring depression and anxiety among people living with HIV/AIDs. Further research is needed to assess the clinical course of neurocognitive impairment and co-occurring depression and anxiety.

BackgroundData quality is a multidimensional term that includes accuracy, precision, completeness, timeliness, integrity, and confidentiality. The quality of data generated by a routine health information system (RHIS) is still very poor in low- and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, the aim of the present study was to assess the magnitude of the quality of routine health information system data and its determinants among health centers.MethodsA facility-based quantitative study design triangulated by the qualitative method was conducted. A total of 314 health professionals from 32 health centers were selected using a simple random sampling procedure. Data were gathered using a standardized checklist, interviewer-administered questionnaires, and key informant interview guidelines. Descriptive statistics were used to describe variables and binary logistic regression was used to identify factors associated with data quality using STATA version 14. Variables with p-value <0.25 in the bivariate analysis were entered to a multivariable logistic regression analysis. P-values <0.05 at 95% confidence intervals (CI) were taken to be statistically significant. A manual analysis was conducted for the qualitative data collected from purposively selected key informants.ResultsThe study found that the overall data quality at the health centers of West Gojjam Zone was 74% (95% CI 68–78). The complexity of the routine health information system format [adjusted odds ratio (AOR) 3.8; 95% CI 1.7–8.5], problem-solving skills for RHIS tasks (AOR 2.8; 95% CI 1.2–6.4), and knowing duties, roles, and responsibilities were significantly associated with data quality (AOR 12; 95% CI 5.6–25.8), and lack of human resources, poor feedback mechanisms, delay in completing data records, lack of data use, and inadequate training on health information systems were barriers affecting data quality.ConclusionsThe level of data quality among public health centers in the Amhara region was lower than expected at the national level.