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.

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. CONCLUSION: 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.

Predictors of treatment seeking intention among people with cough in East Wollega, Ethiopia based on the theory of planned behavior: a community based cross-sectional study.

BACKGROUND: Early treatment seeking for cough is crucial in the prevention and control of Tuberculosis. This study was intended to assess treatment seeking intention of people with cough of more than two weeks, and to identify its predictors. METHODS: A community based cross-sectional study was conducted among 763 individuals with cough of more than two weeks in East Wollega Zone from March 10 to April 16, 2011. Study participants were selected from eighteen villages by cluster sampling method. Data collection instruments were developed according to the standard guideline of the theory of planned behavior. The data were analyzed with SPSS 16.0. Multiple linear regression was used to identify predictors. RESULTS: Mean score of intention was found to be 12.6 (SD=2.8) (range of possible score=3-15). Knowledge (ß=0.14, 95%CI: 0.07-0.2), direct attitude (ß=0.31, 95%CI: 0.25-0.35), belief-based attitude (ß=0.03, 95%CI: 0.02-0.06) and perceived subjective norm (ß=0.22, 95%CI: 0.13-0.31) positively predicted treatment seeking intention. However, perceived behavioral control and control belief were not significantly associated with treatment seeking intention (p>0.05). Being smoker (ß=-0.97, 95%CI:-1.65 (-0.37)) and higher family income (ß=-0.06, 95%CI:-0.07-(-0.01) were significantly associated with lower treatment seeking intention. CONCLUSION: TPB significantly predicted treatment seeking intention among the study participants. Attitude and silent beliefs held by the respondents play an important role and should be given emphasize in prevention and control of Tuberculosis.

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

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. Conclusion: 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