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Biology and Medicine
open access

Risk Factors Related with Antenatal Care Service use among Pregnant Women in Sinana District, Bale Zone, Ethiopia

DOI :

Section : Research Article

Published Date : Nov 25,2021

Lede

Risk Factors Related with Antenatal Care.

Abstract

Background: Maternal wellbeing alludes to the prosperity of women through pregnancy, labor and the post pregnancy period. The major goal of this study was to survey risk factors related with Antenatal care Service use among pregnant ladies at regenerative age in Bale zone Sinana District, Ethiopia. Methods: Data were obtained from primary sources. To dissect the information, descriptive and Bayesian multilevel binary logistic regression of random coefficient model was utilized. The convergence of parameters is assessed by Monte Carlo Markov Chain utilizing Stata 16 and MLwiN 2.31 programming. Results: The descriptive results showed that out of the whole 636 pregnant women considered in this study around 60.5 percent were get Antenatal care benefit whereas 39.5 percent were not get the benefit. According to the results of the Bayesian Multilevel binary logistic random cofficient model, Marital status, Weeks visited by health workers, Comfortability of road, Advice before start the service, getting education regarding maternal health care service, Husband attitude, awareness to difficulty of pregnancy and Wealth index level were found to be the significant determinants for Antenatal care service use among pregnant women in Bale Zone sinana district. The assessed posterior mean for utilize of antenatal care service is 1.070 with a posterior standard deviation 0.816 at 95% level of significance. Varieties between the kebeles in terms of antenatal care benefit utilize were lessening by 0.9 percent in random coefficient model. Conclusion: At long last, based on the finding of this consider, the authors conclude that there were high dispersion of pregnant women not to utilize antenatal care benefit and the likelihood of Antenatal care benefit utilize was found to rise with expanding husband occupation, Wealth index, Age category 25-34 and Husband education level.

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