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[This corrects the article DOI: 10.1371/journal.pone.0306635.].
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INTRODUCTION: Modern contraceptive methods are a scientifically effective method to control the fertility of reproductive-aged groups of people. The women's use of contraceptive methods creates a birth gap and limits the number of their children. The main objective of this study is to identify the significant determinant of modern contraceptive use of reproductive-aged women in Ethiopia. METHODS: We used data from 2019 Ethiopian Mini Demographic and Health Survey. This data was multi-level, taking into account factors at the individual and community levels. In order to capture the multi-level structure of this data and make more reliable and broadly applicable conclusions about the variables influencing the use of modern contraceptives at the individual and community levels, we employed a two-level mixed-effects logistic regression model. In addition, we used cross-tabulation analysis to know the percentage of modern contraception users (reproductive-aged women) across their socio-economic, demographic, and health characteristics. A total of 8196 reproductive aged (15-49) women were included in this study. RESULTS: From a total of 8196 reproductive-aged women, 2495(30.4%) were using modern contraceptive method and the rest 5701(69.6%) did not use any modern contraceptive methods. Among 2495 contraceptive users, 1657 (67.3%) used injections and 533 (21.7%) used implants/Norplant. At a 5% level of significance, the result from the two-level binary logistic regression model revealed that the predictors; Age of women, education level, religion, wealth index, knowledge of modern contraception method, number of died children, number of living children, family size, total children ever born and contextual region have significant effect on the use of modern contraception method. CONCLUSION: Reproductive-aged women in Ethiopia with more living children, residing in urban/agrarian region, younger, wealthier, married, and more educated, were more likely to be modern contraceptive users. The concerned bodies in Ethiopia should bring forward the intervention strategy and should expand the existed programs to improve the use of modern contraception methods among reproductive-aged women in Ethiopia. Especially, they should give special attention to reproductive-aged women of less income, resident in pastoralist region, less educated, unmarried, and haven't living child.
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Conducta Anticonceptiva , Anticoncepción , Humanos , Etiopía , Femenino , Adulto , Adolescente , Conducta Anticonceptiva/estadística & datos numéricos , Adulto Joven , Anticoncepción/estadística & datos numéricos , Anticoncepción/métodos , Persona de Mediana Edad , Factores Socioeconómicos , Servicios de Planificación Familiar/estadística & datos numéricos , Modelos Logísticos , Encuestas Epidemiológicas , AnticonceptivosRESUMEN
BACKGROUND: The Novel Coronavirus disease (COVID-19) pandemic has become a global threat. Determining the time to recovery from COVID-19 is intended to assist healthcare professionals in providing better care, and planning logistics. So, the study aimed to identify the factors that affect the time to recovery from COVID-19 for patients treated at Assosa COVID-19 treatment center, Benishangul Gumuz Regional State, Western Ethiopia. METHODS: A retrospective study design was conducted on 334 randomly selected COVID-19 patients at Assosa COVID-19 treatment center from February 2021 to July 2021. The median survival time, Kaplan-Meier survival estimate, and Log-Rank test were used to describe the data and compare the survival time between groups. The study used the Cox PH model to analyze the time to the first recovery of COVID-19 patients, where hazard ratio, p-value, and 95% CI for hazard ratio were used for testing significance. Schoenfeld and Cox-Snell residuals were used for checking the model assumption. RESULTS: The overall incidence rate was 13.79 per 100 (95% CI: 10.04, 18.95) person-days observations. The median time to recovery was 16 days. At the end of the follow-up, 77.2% of the patients had developed an event of recovery, and the rest 22.8% were censored. The mean age of patients was 45.22 years. Severe COVID-19 patients (AHR = 0.7876, 95% CI: 0.7090, 0.8748), presence of symptoms (AHR = 0.2814, 95% CI: 0.1340, 0.5914), comorbidity (AHR = 0.1627, 95% CI: 0.1396, 0.1897), ≥ 90 oxygen saturation (AHR = 3.2370, 95% CI: 2.161, 4.848), and being older age (AHR = 0.9840, 95% CI: 0.971, 0.9973) were found to have statistically significant association with the time to recovery from COVID-19. CONCLUSION: The study concludes that severe COVID-19 patients, male patients, patients having comorbidity, older age, and patients having symptoms as poor prognostic factors of COVID-19 disease and also prolonged recovery time. Therefore, health providers in treatment centers should give strict follow-up and priority to older patients, severe COVID-19 patients, and patients having another co-morbid illness by focusing on respiratory difficulties and underlying pre-existing medical conditions to manage the disease severity and recover quickly.
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In 2019 among all populous countries in Africa, Ethiopia has the fourth-highest number of people with diabetes (1.7 million). This aggravated prevalence figure implies that diabetes mellitus is a major public health problem in Ethiopia. Due to urbanization, this problem is very critical in the Amhara region, Ethiopia. The study aimed to identify factors that affect the longitudinal fasting blood sugar among T1DM (Type I diabetes mellitus) patients in Debre Tabor General Hospital (DTGH); North-west Ethiopia. A retrospective study design was conducted from 210 randomly selected T1DM patients in the clinic (Outpatient Department) at Debre Tabor General Hospital under the follow-up period from September 2019 to August 2021. To fit these retrospective data records, we used Random intercept and slope models. In this study, the unstructured variance-covariance structure was the appropriate structure for the random intercept and slope model. At a 5% level of significance, family history of diabetes mellitus, age, comorbidity, hemoglobin, and visit time in months were significant factors. Also, all the random effect parameters were statistically significant. It implies that the variability within and between T1DM patients in FBS over time was statistically significant. The mean fasting blood sugar level at baseline was 5.4944 mg/dl and decreased to 5.0679 mg/dl at the final follow-up time. Major contributors for the increment of fasting blood sugar level were increasing age, decreasing haemoglobin, having comorbidity, and belonging from a family with diabetes history. The overall within and between variability in fasting blood sugar level among T1DM patients in DTGH were high. Intervention measures at DTGH level should be undertaken using health education and other measures by providing an emphasis on the prevention, early detection, and treatment of diabetes mellitus.