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Hindi Research Article
Predictors of Health Facility Delivery Service Utilization in Lemo District, South Ethiopia: Unmatched Case Control Study
| Belayneh Hamdela1*, Yalemwork Getnet1 and Mulatu Abageda2 | |
| 1Department of Public health, Faculty of medicine and health sciences, Wachemo University, Hossana, Ethiopia | |
| 2Department of Midwifery, Faculty of medicine and health sciences, Wachemo University, Hossana, Ethiopia | |
| Corresponding Author : | Belayneh Hamdela Department of Public health Faculty of medicine and health sciences Wachemo University, P.O.Box 667, Hossana, Ethiopia Tel: 0916536915 E-mail: belaynehhamdala@yahoo.com |
| Received February 20, 2015; Accepted April 19, 2015; Published April 21, 2015 | |
| Citation: Hamdela B, Getnet Y, Abageda M (2015) Predictors of Health Facility Delivery Service Utilization in Lemo District, South Ethiopia: Unmatched Case Control Study. J Preg Child Health 2:152. doi: 10.4172/2376-127X.1000152 | |
| Copyright: © 2015 Hamdela B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited | |
Abstract
Background: In Ethiopia, the level of maternal mortality is among the highest in the world [676 per 100,000 live births]. This is attributed to among other factors non use of modern health services, particularly health facility delivery. The risk of maternal death can be reduced if mothers give birth at the health facilities, where skilled birth attendants make close follow up, early detection and take corrective measures against complications. Hence, this study was aimed to assess determinant factors contributing to health facility delivery services utilization in Lemo district, South Ethiopia.
Methods: Community based unmatched case control study assessed predictors of health facility delivery in Lemo district using interviewer administered questionnaire. The collected data were analyzed using SPSS version 16.0. Logistic regression analysis was done to identify predictors of health facility delivery among women who has given birth in the last three years prior to the study.
Results: Family sizes of 1-4, husbands attended higher education, women occupation being merchant, husbands’ occupation being daily laborer and merchant were socio-demographic predictors of health facility delivery. In the other way, history of at least one abortion, history of still birth and receiving counselling during antenatal care were obstetric predictors of health facility delivery in Lemo district.
Conclusions: Health facility delivery service utilization was significantly associated with counselling received on birth preparedness and complication readiness plan during antenatal care visit, previous experience of abortion and stillbirth. Family size of 1-4, husbands attended higher education, women occupation being merchant, husband occupation being merchant and daily laborer were also found to be associated with facility delivery. Ways to improve mothers’ awareness about maternal health services given, the benefits of receiving these services and complications related to pregnancy and delivery should be designed and implemented.
