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Published:
Dec 27, 2023DOI:
10.4314/ahs.v23i4.51Keywords:
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Main Article Content
A cross-sectional study design of risk factors related to antenatal care service use among pregnant women in Sinana district, Bale zone, Ethiopia
Abstract
Background: Maternal health refers to the well-being of women through pregnancy, childbirth and the postpartum period. Antenatal care refers to the care that is given to a pregnant woman from the time that conception is confirmed until the beginning of labour. Ethiopia was known in concert of the world’s nation with primary maternal mortality proportions. The major goal of this study was to survey risk factors related with antenatal care service use among pregnant ladies at regenerative age.
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 was assessed by Monte carol Markova Chain utilizing Stata 16 and MLwiN 2.31 programming.
Results: The descriptive result showed that out of the whole 636 pregnant women considered around 60.5%were obtained antenatal care benefits. The odds ratio of pregnant women living in the rural areas being receiving antenatal care services was 0.206(OR = 0.206, P ≤ 0.05). This indicates that the use of prenatal care by rural mothers has decreased by 79.4% compared to urban mothers. Similarly, the Odds ratio for Pregnant women with medium and rich wealth index are 1.571(OR = 1.571, P ≤ 0.05) and 1.90(OR = 1.90, P ≤ 0.05) respectively. This means that pregnant women who are with medium and rich wealth index level had 57.1% and 90% increased odds compared to those pregnant women with poor wealth index consecutively. Varieties between the kebeles in terms of antenatal care benefit utilize were lessening by 0.9 % in random coefficient model.
Conclusion: Generally, the study showed that there was high variation among pregnant women not to utilize antenatal care benefits and the likelihoods of prenatal use were found to increase with the husband occupation, wealth index, age category 25-34, and husband education level.
