Utilization of Reproductive Health Services Among Undergraduate Graduating Class Students in Selected Public Universities of Ethiopia: Classical and Bayesian Approaches
| dc.contributor.advisor | Tesfaw, Dejen(PhD) | |
| dc.contributor.author | Berelie, Yebelay | |
| dc.date.accessioned | 2018-06-28T09:03:06Z | |
| dc.date.accessioned | 2023-11-09T14:29:17Z | |
| dc.date.available | 2018-06-28T09:03:06Z | |
| dc.date.available | 2023-11-09T14:29:17Z | |
| dc.date.issued | 2017-06 | |
| dc.description.abstract | Young people and youth usually refer to those between the ages of 10 and 24 (Bearinger et al 2007). Reproductive health service is health facility-based sexual and reproductive health services provided to the adolescents. Young people face greater reproductive health (RH) risks than adults, yet they are less willing and able to access RH services. The objective of this study was to identify the factors that affect utilization of students’ for reproductive health service methods among public university students in Ethiopia. A total of 2,384 students’ utilization was considered in this study. Descriptive analysis, single level and multilevel logistic regression, and Bayesian logistic regression were used for data analysis using socio-economic, demographic, and health related variables and utilization of reproductive health service as the dependent variable. The results of the study showed that, out of a total of 2,384 sampled students 1,227 (representing 51.5%) used the reproductive health services while 1,157(representing 48.5%) did not. The single level and multilevel and Bayesian logistic regression analyses revealed that the variables that affect the students’ utilization of RHS in public universities of Ethiopia were age, awareness of students towards RHS, convenient time to go to health service centers, students monthly income, parents’ monthly income, service fee, parents’ occupation, place of residence, and gender. The multilevel logistic regression analysis revealed that there was significant variation with regard to students’ utilization of RHS across the departments under investigation. The results obtained by applying Bayesian logistic regression analysis show that the standard errors for the variables incorporated in the model were smaller than the classical binary logistic regression analysis. This implies that the Bayesian logistic regression model may give a better accurate estimation than the classical approach. Keywords: Bayesian analysis, multilevel analysis, reproductive health services, Utilization of university students | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/4582 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Abeba university | en_US |
| dc.subject | Bayesian Analysis | en_US |
| dc.subject | Multilevel Analysis | en_US |
| dc.subject | Reproductive Health Services | en_US |
| dc.subject | Utilization of University Students | en_US |
| dc.title | Utilization of Reproductive Health Services Among Undergraduate Graduating Class Students in Selected Public Universities of Ethiopia: Classical and Bayesian Approaches | en_US |
| dc.type | Thesis | en_US |