• Nagasa Dida, Zewdie Birhanu, Mulusew Gerbaba, Dejen Tilahun, and Sudhakar Morankar.
• College of Public Health and Medical Sciences, Department of Health Education and Behavioral Sciences, Jimma University, Jimma, Ethiopia.
• Afr Health Sci. 2014 Jun 1; 14 (2): 288298288-98.

BackgroundAlthough ante natal care and institutional delivery is effective means for reducing maternal morbidity and mortality, the probability of giving birth at health institutions among ante natal care attendants has not been modeled in Ethiopia. Therefore, the objective of this study was to model predictors of giving birth at health institutions among expectant mothers following antenatal care.MethodsFacility based cross sectional study design was conducted among 322 consecutively selected mothers who were following ante natal care in two districts of West Shewa Zone, Oromia Regional State, Ethiopia. Participants were proportionally recruited from six health institutions. The data were analyzed using SPSS version 17.0. Multivariable logistic regression was employed to develop the prediction model.ResultsThe final regression model had good discrimination power (89.2%), optimum sensitivity (89.0%) and specificity (80.0%) to predict the probability of giving birth at health institutions. Accordingly, self efficacy (beta=0.41), perceived barrier (beta=-0.31) and perceived susceptibility (beta=0.29) were significantly predicted the probability of giving birth at health institutions.ConclusionThe present study showed that logistic regression model has predicted the probability of giving birth at health institutions and identified significant predictors which health care providers should take into account in promotion of institutional delivery.

27 keywords...

hide…