Institutional delivery and associated factors among women who gave birth in Benishangul Gumuz region, South West Ethiopia

被引:2
作者
Arega, Temesgen [1 ]
Mulatu, Teshale [2 ]
Alemayehu, Afework [2 ]
Mussa, Ibsa [3 ]
Dheresa, Merga [2 ]
机构
[1] Mandura Dist Hlth Off, Asosa, Beneshangul Gum, Ethiopia
[2] Haramaya Univ, Coll Hlth & Med Sci, Sch Nursing & Midwifery, Harar, Ethiopia
[3] Haramaya Univ, Coll Hlth & Med Sci, Sch Publ Hlth, Harar, Ethiopia
关键词
predictors; institutional delivery; Mandura; Benishangul Gumuz; Ethiopia;
D O I
10.3389/fpubh.2022.965524
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundMaternal mortality from pregnancy and childbirth remains a major public health problem. Increasing access to institutional delivery is one of the key strategies to reduce childbirth-related maternal mortality. Despite all the efforts, institutional deliveries in Ethiopia remain low. Understanding factors associated with institutional delivery is important to devise strategies to improve facility based child birth. Hence, this study assessed the prevalence of institutional delivery and associated factors to bridge the gap. MethodsA community-based cross-sectional study was employed from March-April 2020. Multi-stage sampling was employed to select 500 mothers who gave birth within the last 12 months in Mandura district, Benishangul Gumuz Region, Ethiopia. Data were collected using pre tested structured questionnaire through face-to-face interview. Logistic regression models were fitted to assess the predictors of institutional delivery. Adjusted Odds ratios with 95% CI was used to show associations and statistical significance was set at a p < 0.05. ResultsThis study indicated that the prevalence of institutional delivery was 28.8% CI (25-33.3%). Having a positive attitude (AOR = 9.6,95%CI:2.5-35.9), attending antenatal care (ANC) at least once (AOR = 16.1,95%CI:9.6-22), attending ANC more than three times (AOR = 17.2, 95% CI:13.5-43.8), having good knowledge (AOR = 11.1, 95%CI: 2.7-45.4), and facing complications during pregnancy (AOR = 4.04, 95%CI: 1.0-16.0) were significantly associated with institutional delivery. ConclusionThe prevalence of institutional delivery in this study was low. Positive attitude toward institutional delivery, attending ANC, having good knowledge about institutional delivery, and facing complications during pregnancy were identified predictors of institutional delivery. Strategies with a focus on increasing ANC uptake, improving mothers' knowledge, and promoting institutional delivery at the community level are critical.
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页数:8
相关论文
共 36 条
[1]  
Agency CS, 2007, 2007 POP HOUS CENS E
[2]   Utilization of Institutional Delivery Service in a Predominantly Pastoralist Community of Northeast Ethiopia [J].
Ahmed, Mohammed ;
Demissie, Meaza ;
Medhanyie, Araya Abrha ;
Worku, Alemayehu ;
Berhane, Yemane .
ETHIOPIAN JOURNAL OF HEALTH SCIENCES, 2018, 28 (04) :403-412
[3]   The Prevalence of Skilled Birth Attendant Utilization and Its Correlates in North West Ethiopia [J].
Alemayehu, Mulunesh ;
Mekonnen, Wubegzier .
BIOMED RESEARCH INTERNATIONAL, 2015, 2015
[4]  
Amentie M., 2016, GLOB J MED RES, V16, P3, DOI [10.11648/j.sjcm.20150403.11, DOI 10.11648/J.SJCM.20150403.11]
[5]  
Andargie A. A., 2018, Journal of Public Health and Epidemiology, V10, P108, DOI 10.5897/jphe2017.0989
[6]  
[Anonymous], 2018, MAT MORT
[7]  
[Anonymous], 2012, Ethiopia demographic and health survey 2011
[8]   Utilization pattern of institutional delivery among mothers in North-western Ethiopia and the factors associated; A community-based study [J].
Anteneh, Kiber Temesgen ;
Gebreslasie, Kahsay Zenebe ;
Nigusie, Tewodros Seyoum ;
Aynalem, Getie Lake ;
Yirdaw, Birhanu Wubale .
CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH, 2021, 10
[9]   Factors associated with institutional delivery: Findings from a cross-sectional study in Mara and Kagera regions in Tanzania [J].
Bishanga, Dunstan R. ;
Drake, Mary ;
Kim, Young-Mi ;
Mwanamsangu, Amasha H. ;
Makuwani, Ahmad M. ;
Zoungrana, Jeremie ;
Lemwayi, Ruth ;
Rijken, Marcus J. ;
Stekelenburg, Jelle .
PLOS ONE, 2018, 13 (12)
[10]  
Central Statistical Agency (CSA) Ethiopia and ICF, 2016, Ethiopia Demographic and Health Survey