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Ethiopian Journal of Health Sciences

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Delivery Site Preferences and Associated Factors among Married Women of Child Bearing Age in Bench Maji Zone, Ethiopia

Fira Abamecha Ababulgu, Tariku Tesfaye Bekuma

Abstract


BACKGROUND: Efforts to reduce maternal mortality and morbidity must address societal and cultural factors that affect women’s health and their access to services. There was no research conducted previously on delivery site preferences and associated factors among married women of child bearing age in the study area. The aim of this study was to assess the delivery site preferences and associated factors among women of child bearing age in Bench Maji Zone, Southwest Ethiopia.
METHODS: A community based cross sectional quantitative study design supplemented by qualitative data was conducted from April 20 to May 20, 2013. Simple random sampling to select kebeles and systematic random sampling to contact eligible woman were used. Data was collected using structured questionnaire. Data was analyzed by using SPSS version 16. Logistic regressions analysis was employed to identify potential predictor variables. Odds ratio with 95% confidence interval was used to assess the association of variables. P-value less than 5% was used to declare significant association.
RESULTS: Three hundred five (61.9%) of the mothers gave birth at home. Three Hundred ninety six (78.7%) of them had Ante natal care. The preference of facility delivery was 412(88.3%). Age of women, mothers’ educational level, and place of delivery of the last baby, perception of mothers about pregnancy and health care workers significantly affected delivery site preference.
CONCLUSION: Most of the women attended Ante natal care. However, only some had actually delivered at health facilities to their last pregnancy. Community members should get health education to reduce misconceptions on delivering in health facility.

KEYWORDS: Delivery preference, Institutional delivery, Antenatal care




http://dx.doi.org/10.4314/ejhs.v26i1.9
AJOL African Journals Online