Background Infant mortality is defined as the death of a child at any time after birth and before the child’s first birthday. Sub-Saharan Africa has the highest infant and child mortality rate in the world. Infant and child mortality rates are higher in Ethiopia. A study was carried out to estimate the risk factors that affect infant mortality in Ethiopia. Method The EDHS− 2016 data set was used for this study. A total of 10,547 mothers from 11 regions were included in the study’s findings. To estimate the risk factors associated with infant mortality in Ethiopia, several count models (Poisson, Negative Binomial, Zero-Infated Poisson, Zero-Infated Negative Binomial, Hurdle Poisson, and Hurdle Negative Binomial) were considered. Result The average number of infant deaths was 0.526, with a variance of 0.994, indicating over-dispersion. The highest mean number of infant death occurred in Somali (0.69) and the lowest in Addis Ababa (0.089). Among the multilevel log linear models, the ZINB regression model with deviance (17,868.74), AIC (17,938.74), and BIC (1892.97) are chosen as the best model for estimating the risk factors affecting infant mortality in Ethiopia. However, the results of a multilevel ZINB model with a random intercept and slope model revealed that residence, mother’s age, household size, mother’s age at first birth, breast feeding, child weight, contraceptive use, birth order, wealth index, father education level, and birth interval are associated with infant mortality in Ethiopia. Conclusion Infant deaths remains high and infant deaths per mother differ across regions. An optimal fit was found to the data based on a multilevel ZINB model. We suggest fitting the ZINB model to count data with excess zeros originating from unknown sources such as infant mortality.

Background Desire for more children has an impact on couple’s fertility behaviors. It can be a precursor of actual fertility performance. However, the desire for more children is declining over time in Ethiopia. Therefore, this study aimed to identifying the determinants of the desire for more children among women in Ethiopia. Methods The 2016 Ethiopian Demographic and Health Survey data were used for the analysis. The sample consisted of 15,683 women. The binary logistic regression model was used to assess the determinants of desire for more children among women in Ethiopia. The results are presented as crude odds ratios (COR) and adjusted odds ratios (AOR) together with their corresponding 95% confidence intervals. Results No education (having no formal education) (AOR = 1.85, 95% CI 1.61–2.13), attained primary education (AOR = 1.62, 95% CI 1.43–1.83), age at first marriage 10–19 years (AOR = 1.80, 95% CI 1.27–2.54), Orthodox religion (AOR = 1.48, 95% CI 1.01–2.19), Catholic religion (AOR = 2.15, 95% CI 1.17–3.97), Muslim religion (AOR = 1.70, 95% CI 1.15–2.50), living in Amhara (AOR = 1.45, 95% CI 1.18–1.78), Oromia (AOR = 2.10, 95% CI 1.73–2.54), Benishangul (AOR = 1.17, 95% CI 1.01–1.45), SNNPR (AOR = 1.30, 95% CI 1.05–1.60), Gambela (AOR = 1.25, 95% CI 1.02–1.57), Harari (AOR = 2.24, 95% CI 1.82–2.76), ideal number of children four or fewer (AOR = 0.47, 95% CI 0.42–0.53), number of living children four or fewer (AOR = 2.12, 95% CI 1.90–2.37), and not use of contraceptives (AOR = 1.51, 95% CI 1.35–1.68) were associated with a higher desire for more children. Conclusion This finding showed that the age of women, educational level, age at first marriage, religion, region, occupation, ideal number of children, number of living children, and use of contraceptives were significant determinants of desire for more children. Therefore, it is important to adopt programs to encourage the desire for more children, implement policies in an attempt to increase the total fertility rate in Ethiopia ought to critically consider these factors. Moreover, continuous education and knowledge on reproductive health will help for better fertility behaviour for the women.

Introduction Community-based health insurance (CBHI) is a type of volunteer health insurance that has been adopted all over the world in which people of the community pool funds to protect themselves from the high costs of seeking medical care and treatment for the disease. In Ethiopia, healthcare services are underutilized due to a lack of resources in the healthcare system. The study aims to identify the individual and community level factors associated with community-based health insurance enrollment of households in Ethiopia. Methods Data from the Ethiopian mini demographic and health survey 2019 were used to identify factors associated with community-based health insurance enrollment of households in Ethiopia. Multilevel logistic regression analysis was used on a nationally representative sample of 8,663 households nested within 305 communities, considering the data’s layered structure. We used a p-value<0.05 with a 95% confidence interval for the results. Result The prevalence of community-based health insurance enrollment in Ethiopia was 20.2%. The enrollment rate of households in the scheme was high in both Amhara (57.9), and Tigray (57.9%) regions and low (3.0%) in the Afar region. At the individual level; the age of household heads, number of children 5 and under, number of household members, has land for agriculture, has a mobile telephone, receiving cash of food from the safety Net Program, Owning livestock, and herds of farm animals, wealth index, and at the community level; the region had a significant association with community-based health insurance enrollment. Conclusion Both individual and community-level characteristics were significant predictors of community-based health insurance enrollment in households. Furthermore, the ministry of health, health bureaus, and other concerning bodies prioritize clusters with low health insurance coverage to strengthen health system financing and intervene in factors that negatively affect the CBHI enrollment of households.

Background Mycobacterium leprae causes leprosy, which is a long-term or recurrent infection. The causative agent’s collusion with Schwann cells results in the irreversible loss of fringe nerve tissue; followed by incapacity, which includes not just actual impotence but also mental incapacity, creates a bad image of the transformed, resulting in segregation and societal humiliation of leprosy patients, as well as their families. Methods This study’s survival analysis includes a sample of 205 patients who were taking leprosy medication and had all essential data from January 2015 to December 2019 G.C. at the All African TB and Leprosy Rehabilitation and Training Centre. The Cox proportional hazard model was used to figure out what factors influence leprosy patients’ survival status during treatment. Results Among the 205 leprosy patients, 71 (34.63%) had at least one type of impairment grade during treatment. The Cox proportional model revealed that the most significant variables of impairment among leprosy patients were age, symptom duration, treatment category, living place, and sensory loss. Conclusion The study investigated and revealed characteristics associated with the survival status of leprosy patients in ALRT centers using survival analysis. Patients’ risk of worsening disability grade increased with age, was greater for patients with a long duration of symptom, was higher for defaulter patients, and was lower for patients who did not lose their sensibility throughout therapy. The existence of a difference in the survival curves between two or more groups of factors for the patient’s survival function was also discovered in this inquiry. Female patients, particularly those who were new to the medication, were shown to be more in their survival.

Background. Adequate antenatal care is essential for the health of the mother and the development of the fetus. The World Health Organization recommends at least four antenatal care (ANC) visits during pregnancy. In Ethiopia, only 32% of women of childbearing age attend four or more ANC visits. This figure is significantly lower than the average for least developed countries. This study is aimed at calculating the magnitude and identifying the factors associated with optimal antenatal care utilization in the South Gondar Zone, Northwest Ethiopia. Methods. A community-based cross-sectional study was conducted in the South Gondar Zone of Northwest Ethiopia from September 2020 to May 2021. A total of 434 participants were selected using multistage cluster sampling. Data were gathered through face-to-face interviews using a structured questionnaire. A multivariate binary logistic regression model was used to determine the factors associated with the optimal use of antenatal care. Result. The magnitude of optimal antenatal care utilization was 59% (95% CI; 54.20, 63.65). The study showed that mothers who completed their secondary school ( AOR = 8.205 ; 95% CI: 3.406, 19.767), women who completed their tertiary school ( AOR = 6.406 ; 95% CI: 2.229, 18.416), women whose husbands’ level of education is secondary school ( AOR = 5.967 ; 95% CI: 2.753, 12.936), those with a planned pregnancy ( AOR = 1.912 ; 95% CI: 1.117, 3.271), those with a wanted pregnancy ( AOR = 2.341 ; 95% CI: 1.366, 4.009), women whose husbands work in the government or nongovernment sector ( AOR = 3.736 ; 95% CI: 2.093, 6.669), those not being exposed to the media ( AOR = 0.520 ; 95% CI: 0.345, 0.783), and rural women ( AOR = 0.267 ; 95% CI: 0.164, 0.435) were significantly associated with optimal ANC utilization. Conclusion. The findings suggest that more emphasis should be placed on education-based programs for women and their husbands that highlight the benefits of a planned pregnancy, desired pregnancy, and maternal health care. Meanwhile, the government and other concerned bodies should focus on expanding road accessibility, health institutions, and ambulance distribution to improve optimal ANC utilization in the area.

In Ethiopia, community-based health insurance was implemented to promote equitable access to sustainable quality health care and increase financial protection. The purpose of this study was to identify factors associated with community-based Health Insurance, Health Care Service Utilization of Households in the South Gondar Zone. A community-based cross-sectional study was employed. Data were collected among 619 randomly selected households in the south Gondar zone. Chi-square and binary logistic regression analyses with a P-Value of less than .05 were used to determine the association. Out of the total households, 511(82.6%) were using the CBHI scheme for health care service utilization. Residence, marital status, education level, occupation status, family size, presence of under-five children in the household, presence of elders in the households, nearest health institution, presence of chronic illness in the household’s, time taken to reach health institution, an attitude of a household were the determinant factors of community-based health insurance scheme health care service utilization of households. It is recommended that the local, regional and national governments, policymakers on optimal actions, NGOs, and other supporting organizations shall improve or scale-up the scheme by providing awareness to the community based on these significant factors and the attitude of households.

Introduction Low birth weight is one of the important predictors of perinatal survival, infant morbidity, and mortality, as well as the risk of developmental disabilities and diseases in the future. Objective(s) The study aimed to identify the associated factors of low birth weight among newborns at Debre Tabor referral hospital, Northwest Ethiopia. Methods A hospital-based cross-sectional study was conducted from January 1, 2021 to October 30, 2021 at Debre Tabor Referral Hospital. A total sample of 420 newborn birth records was considered. The binary logistic regression model was used to assess the associated factors of low birth weight. The results are presented as crude odds ratios and adjusted odds ratios (AOR) together with their corresponding 95% confidence intervals. Results In this study, 422 participants were included. Rural residence (AOR = 2.01; 95%CI 1.10–3.69), married marital status (AOR = 0.82; 95%CI 0.78–0.86), formal education (AOR = 0.79; 95%CI 0.67–0.92), smoking during pregnancy (AOR = 1.19; 95%CI 1.07–1.33), attended antenatal care (ANC) visits (AOR = 0.57; 95%CI 0.35–0.91), diabetes during pregnancy (AOR = 4.34; 95%CI 3.50–5.39), iron supplementation (AOR = 0.23; 95%CI 0.20–0.25), and maternal history of anemia (AOR = 5.87; 95%CI 2.67–12.89) were significantly associated with low birth weight of newborns. Conclusion This finding showed that residence, marital status, educational status, smoking during pregnancy, ANC visit, diabetes during pregnancy, iron supplementation, and mother's history of anemia were significantly associated with low birth weight. Therefore, policy makers and public health experts/practitioners should plan smoking preventive public health promotion campaigns. Furthermore, it is important that all health professionals properly manage the possible cause of LBW during pregnancy.

Background Postnatal care (PNC) is critical for both the mother and the infant to treat delivery complications and provide the mother with important information on caring for herself and her baby. However, only 17% of women and 13% of newborns in Ethiopia received a postnatal checkup within the first two days of birth. This figure is significantly lower than the least developed countries. This study aimed to assess the coverage and associated factors of PNC service utilization in South Gondar Zone, Northwest Ethiopia. Method A community-based cross-sectional study was conducted from September 2020 to May 2021. The data were gathered using an interviewer-administered structured questionnaire. A total of 434 women who gave birth within 2 years of the study were included in the analysis. Bivariable and multivariable logistic regression model was used to identify factors associated with PNC service utilization. Result The prevalence of women who used PNC services was 36.4%. The study showed that antenatal care visit, husbands who have a secondary education, women with a secondary education, daily laborer women, husbands working for the government or non-profit sector, delivered in a health institution, nearby hospitals, travel by car to the nearest health facility were positively associated with PNC utilization. While, not having a cell phone, rural women and not having road access to a health facility, have not been receiving counseling were negatively associated with PNC utilization. Conclusion The coverage of PNC service utilization in the study area was extremely low. Therefore, government and health care departments should pay special attention to uneducated women, women in rural areas, and women who are unemployed, are not exposed to mass media, and do not have access to transportation to improve PNC service utilization. Furthermore, programs educating mothers on the benefits of antenatal checkups and safer places of childbirth should be considered to increase PNC service utilization.