Background: Preconception care should be given in universal manner worldwide by manifesto of WHO. The government of Ethiopia gives the emphasis to maternal and child health but the progress of its improvement is too slow. Maternal health services especially before pregnancy is the unreached agenda in Ethiopia. Therefore, there is limited evidence on the intention to preconception care and its determinants in southwest Ethiopia. So, the aim of this study to determine the intention to use and its predictors of preconception care use among reproductive age women. Methods: A community-based cross-sectional study was conducted in southwest Ethiopia. Systematically selected 427 reproductive age women were involved in this study. Face-toface interview was used to collect the data by trained data collectors. The collected data was entered into EpiData version 3.1 and then exported to SPSS version 25 for further analysis. Multiple linear regression analysis was conducted to identify predictors to intention to use preconception care. P-value less than 5% was considered to indicate significant association. The standardized β-coefficient was presented as measure of association following a multivariable linear regression analysis. Results: The response rate of the study was 98.13%. The mean age of respondents in the study was 34.21[±6.21] years. Nearly twenty (19.8%) respondents had used preconception care previously. The attitude (β =0.320, p=0.0418), subjective norm (β =0.344, p<0.001), perceived behavioral control (β=0.512, p<0.001), indirect subjective norm (β =−0.108, p=0.002) and age of respondents (β =0.046, p=0.020) were predictors of intention to use preconception care. Conclusion: Intention to use preconception care is a multiplicative effect of attitude, subjective norm, perceived behavioral control and indirect subjective norm. Age is the only sociodemographic variables associated to intention.

Introduction Unmet need for family planning is the main obstacle to achieve healthy timing and desired number of children. Decreasing the unmet need for FP respects and protects human right and help to decrease the influence on biodiversity. Unmet need for family planning is the contributor and devastating issue of maternal health. Therefore, meeting the unmet need of contraceptive averts the maternal death and poverty. Therefore, determining the magnitude and its determinants is very important to intervene and design appropriate program umbrella. Objective To determine the magnitude and its determinants of unmet need for family planning among reproductive age women in East Africa. Method This study was analyzed secondary data from Demographic and Health Surveys (DHS) of which contained detailed family planning for all interviewed women aged 15 to 49 years. The data were weighted using sampling weight before any statistical analysis to account the sampling design. STATA version 15 was used for extracting, editing, recoding, and multilevel analysis. Median odds ratio (MOR), proportional change in Variance (PCV), Intraclass correlation coefficient (ICC), and Akaike Information Criteria (AIC) was analyzed. Four model was build and the best model was selected based on the smallest Akaike Information Criteria (AIC). Both bivariable and multivariable multilevel analysis was done. Variable with p-value< 0.25 were selected for multivariable multilevel logistic regression analysis. Variables with p-value ≤5% declared as statistical significant with outcome variable. Results The magnitude of unmet need for family planning was 24.66% (95%CI: 24.1–25.2). The identified determinants of unmet need for family planning was 30–39 years (AOR = 0.7; 95% CI 0.54–0.91), age of 40–49 (AOR = 0.76; 95% CI 0.58–0.99), rural residence (AOR = 1.17; 95% CI 1.02–1.34), female household head (AOR = 0.66; 95% CI 0.61–0.73), women having 4–6 child (AOR = 1.76; 95% CI 1.55–1.99), women having 7–9 child (AOR = 2.77; 95% CI 2.34–3.28) women having ≥10 child (AOR = 3.51; 95% CI 2.58–4.78), women who give their first birth 19-25 years (AOR = 1.1; 95% CI 1.0–1.26), 26–34 years (AOR = 1.4; 95% CI 1.19–1.83) ≥35 years (AOR = 2.1; 95% CI 1.1–4.27) and no fertility desire (AOR = 1.52; 95% CI 1.36–1.67) were the determinants of unmet need for family planning in east Africa. Conclusion Unmet need in east Africa is high as compare to other previous study. Maternal age, residence, sex of household head, number of children, age at first birth and fertility desire were the determinants identified in this study. Therefore, health interventions that reduce unmet need which enhance family planning service delivery among rural, male-headed household, women having more than three children and women who had no fertility desire needed in advance. Policies and programs of unmet need should be tailored the rural, young and no fertility desire women as well as male headed households.

BackgroundDiarrhea leads the children to severe dehydration or death as a result of the loss of water and electrolytes (namely, potassium, chloride, sodium, and bicarbonate). To compensate for the losses, ORS is given to children who experienced diarrhea.ObjectiveTo estimate the magnitude of ORS utilization in diarrhea hotspot regions of Ethiopia and to assess its associated factors among under-five children.MethodsTo conduct this study, we used the 2016 Ethiopian demographic and health survey data. A total of 1,079 weighted sample children were selected. Each sample was selected randomly. Then, to identify factors associated with ORS utilization in diarrhea hotspot regions of Ethiopia, a multilevel analysis based on the Bayesian approach was applied. Finally, the credible interval of AOR that does not include 1 was considered statistically significant.ResultsThe magnitude of ORS utilization for children in diarrhea hotspot regions of Ethiopia was 28%. Being urban resident (AOR = 1.92; 95% CrI: 1.13–3.3), woman household head (AOR = 2.11; 95% CrI: 1.3–3.9), having higher educational level (AOR = 1.52; 95% CrI: 1.04–2.22), member of health insurance (AOR = 1.73; 95% CrI: 1.14–2.43), and being exposed for media (AOR = 1.43; 95% CrI: 1.18–2.5) increases ORS utilization for diarrhea management.ConclusionResidence, educational level, health insurance, and media exposure were the factors of ORS utilization. So, to increase the practice of ORS utilization for diarrhea management in Ethiopia, the Ministry of Health and the Government of Ethiopia should consider those factors when they design diarrhea prevention and control strategies.

Background Preconception care is highly important in reducing a number of adverse pregnancy outcomes and helps to improve maternal health. Preconception care optimizes women’s health and improves pregnancy outcomes. It is a cost-effective first-line preventive strategy for birth defects. However, preconception care utilization in Ethiopia was very low. Studies on these issues are limited in Ethiopia in general and in Mizan-Aman town in particular. Objective To assess preconception care utilization and associated factors among reproductive age women in Mizan-Aman town, Bench-Sheko Zone, Southwest Ethiopia. Methods A community based cross-sectional study design was employed from April 16 to May 26, 2020 in Mizan-Aman town. The total study participants were 624 reproductive age women. Data were collected by using pre-tested interviewer administered questionnaires and entered into Epi-data version 3.1 then exported to STATA version 14 and analyzed accordingly. Univeriate and Bivariable analysis was done by analysis of variance (ANOVA) and independent t-test. Multivariable statistical analysis using generalized linear regression model (GLM) approach was used to classify factors of preconception care utilization. Since our response variable is measured in terms of count variable, we used a Poisson regression model with a log link function. Finally, Statistical significance between dependent and independent variables were assessed by odds ratios and 95% confidence intervals. Results Overall, 28.6% of the women receipt atleast one item of preconception care while only 1.5% were taken the whole recommended components of preconception care services. The most common item received in the study area was taking micronutrient supplementation (18.5%). Age of women, educational status, husbands educational status, husbands occupation, wealth status, distance from the health facility, waiting time to get services, planning to pregnancy, age at first pregnancy, previous ANC use, Previous PNC use, adverse pregnancy experience, women’s knowledge of preconception care, and attitude on preconception care were determinants of preconception service utilization. Conclusions Preconception care component utilization was lower as compare with recommended service with different disparities. Multipurpose tailored strategies which incorporate a woman with no formal education, poor knwledge on preconception care,never take maternal services previously and distant from health facility could improve preconception care service utilization. Advocative strategies on preconception care component and planning pregnancy may elicite more women to use the services of preconception care.

Background: Human immunodeficiency virus remains the leading cause of morbidity and mortality throughout the world. Sub-Saharan Africa regions are the most affected regions and accounted for 67% of HIV infections worldwide, and 72% of the world’s AIDS-related deaths. Objective: To estimate the prevalence of HIV and identify factors associated with it among women of reproductive age in Ethiopia. Methods: This study was conducted based on the 2016 Ethiopian Demographic and Health Surveys data. The data were weighted using sampling weight for probability sampling and non-response to restore the representativeness of the data and get valid statistical estimates. Then, a total of 14,161 weighted sample women were used to investigate the study. Finally, a multilevel analysis was done based on the Bayesian approach to identify factors associated with HIV among women of reproductive age in Ethiopia. Results: This study showed the prevalence of HIV among reproductive age group women was 0.85%. Being rural resident (adjusted odds ratio = 0.20; 95% CrI = 0.1–0.4), secondary education level (adjusted odds ratio = 0.20; 95% CrI = 0.1–0.4), rich wealth status (adjusted odds ratio = 4; 95% CrI = 3–6), married women but living separately (adjusted odds ratio = 2.3; 95% CrI = 1.2–4.5), long distance from the health facility (adjusted odds ratio = 0.4; 95% CrI = 0.3–0.5), and exposure to media (adjusted odds ratio = 2.9; 95% CrI = 1.8–4.7) were significantly associated with HIV. Conclusion: Being rural residents, women whose marital status is separated, wealthy, travel a long distance to get health facility, and are exposed to media are risky to be infected by HIV. Whereas being a rural resident and educated are preventive factors for HIV. Therefore, the government of Ethiopia and the ministry of health should consider those factors when they design HIV prevention and control strategies.