title: Modeling the probability of giving birth at health institutions among pregnant women attending antenatal care in West Shewa Zone, Oromia, Ethiopia: a cross sectional study.
abstract: BACKGROUND
  Although 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.
  
  
  METHODS
  Facility 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.
  
  
  RESULTS
  The 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.
  
  
  CONCLUSIONS
  The 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.
authors.affiliation: College of Public Health and Medical Sciences, Department of Health Education and Behavioral Sciences, Jimma University, Jimma, Ethiopia.
authors.forename: Nagasa
authors.initials: N
authors.lastname: Dida
authors.affiliation: College of Public Health and Medical Sciences, Department of Health Education and Behavioral Sciences, Jimma University, Jimma, Ethiopia.
authors.forename: Zewdie
authors.initials: Z
authors.lastname: Birhanu
authors.affiliation: College of Public Health and Medical Sciences, Department of Population and Family Health, Jimma University, Jimma, Ethiopia.
authors.forename: Mulusew
authors.initials: M
authors.lastname: Gerbaba
authors.affiliation: College of Public Health and Medical Sciences, Department of Health Education and Behavioral Sciences, Jimma University, Jimma, Ethiopia.
authors.forename: Dejen
authors.initials: D
authors.lastname: Tilahun
authors.affiliation: College of Public Health and Medical Sciences, Department of Health Education and Behavioral Sciences, Jimma University, Jimma, Ethiopia.
authors.forename: Sudhakar
authors.initials: S
authors.lastname: Morankar
mesh_terms: D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D036861:Delivery, Obstetric / Q000706:statistics & numerical data*; D005002:Ethiopia; D005260:Female; D006268:Health Facilities / Q000706:statistics & numerical data*; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006700:Home Childbirth / Q000706:statistics & numerical data; D006801:Humans; D033182:Intention; D009035:Mothers / Q000523:psychology; D011247:Pregnancy; D011295:Prenatal Care; D011336:Probability; D012044:Regression Analysis; D012111:Residence Characteristics; D012959:Socioeconomic Factors
keywords: ANC; Institutional delivery; intention; probability