Women’s Preference of Home Delivery in Wonago District, Gedeo Zone, Southern Ethiopia 2018

BMC Pregnancy Childbirth

Tiruneh

2020

Background: Globally, between 2012 and 2017, 80% of live births occurred at health facilities assisted by skilled health personnel. In Ethiopia, in 2016 only 26% of live births attended by skilled health personal. This study aimed to assess the spatial patterns and associated factors of home delivery in Ethiopia using 2005, 2011, and 2016 Ethiopian Demographic and Health Surveys. Methods: A total of 33,482 women who gave live birth in the 5 years preceding each survey were included for this study. ArcGIS version 10.7 software was used to visualize the spatial distribution of home delivery. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for home delivery in Ethiopia. A multilevel logistic regression model was fitted to identify factors associated with home delivery. A p-value < 0.05 was taken to declare statistically significant predictors. Results: Home delivery was declined from 94.78% in 2005, 90.05% in 2011, and 73.44% in 2016 in Ethiopia. Among the three surveys, consistently high clustering of home delivery was observed in Amhara and Southern Nations Nationalities and People's Regions (SNNPR) of Ethiopia. In spatial scan statistics analysis, a total of 128 clusters (RR = 1.04, P-value < 0.001) in 2005, and 90 clusters (RR = 1.11, P-value < 0.001) in 2011, and 55 clusters (RR = 1.29, P-value < 0.001) in 2016 significant primary clusters were identified. Educational status of women and husband, religion, distance to the health facility, mobile access, antenatal care visit, birth order, parity, wealth index, residence, and Region were statistically significant predictors of home delivery.

Section: Discussionsupporting

confidence: 55%

Spatio-temporal distribution and associated factors of home delivery in Ethiopia. Further multilevel and spatial analysis of Ethiopian demographic and health surveys 2005–2016

BMC Pregnancy Childbirth

Tiruneh

2020

“…However, this study showed that one fourth of pregnant women in this study area preferred home for place of delivery. This study is consistent with the research conducted in Wanago district Gedio, Ethiopia [ 12 ] which was 25.6%. Similarly, the finding of this study was in line with the study from Tanzania [ 9 ], which was 25.5%.…”

Section: Discussionsupporting

confidence: 92%

“…Homebirth preference among participants who had poor knowledge about danger signs was 3 times higher compared to their counterparts. This is following the findings of studies conducted in Gura Dhamole Bale zone [ 28 ], Benishangul [ 29 ], Wonago District southern Ethiopia [ 12 ], and Ghana [ 30 ]. This might be due to knowledge about obstetrical danger signs from advice and counseling by a health professional, mass media, and other different sources helping pregnant women to increase their health-seeking behavior.…”

Section: Discussionsupporting

confidence: 81%

“…The questionnaires contain questions about socio-demographic characteristics, service-related, obstetrical characteristics, knowledge on danger signs, attitude toward skilled birth services, and fear of childbirth at a health institution. These questionnaires were adapted and developed from published related literatures [ 11 , 12 , 17 – 20 ]. Nine Health and demographic surveillance site data collectors and three supervisors were used.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Preference of homebirth and associated factors among pregnant women in Arba Minch health and demographic surveillance site, Southern Ethiopia

Alemu¹,

Gultie

et al. 2022

PLoS ONE

Background Home birth preference is the need of pregnant women to give birth at their home with the help of traditional (unskilled) birth attendants. Homebirth with unskilled birth attendants during childbirth is the main leading indicator for maternal and newborn death. In Ethiopia, numbers of women prefer homebirth which is assisted by unskilled personal. However, there is no information regarding the problem in the Arba Minch zuria woreda. Therefore, it is important to identify prevalence of preference of homebirth and associated factors. Objectives This study aimed to assess the preference of home birth and associated factors among pregnant women in Arba Minch health and demographic surveillance site. Method and materials A community-based cross-sectional study was conducted among pregnant women in Arba Minch health and demographic surveillance site, from May 1 to June 1, 2021. Using simple random sampling technique, 416 study samples were selected. Data were collected by interviewer-administered questionnaire. Data were coded and entered into Epi-Data version 4.4.2.1 computer software and exported to Statistical Package for Social Sciences software version 25 for analysis. Bi-variable binary logistic regression for the selection of potential candidate variables at p-value < 0.25 for multivariable analysis and multivariable binary logistic regression to identify the association between homebirth preference and independent variables were carried out. The level of statistical significance was declared at a p-value < 0.05. Result In this study, in Arba Minch demographic health surveillance site, the prevalence of preference of pregnant women to give birth at their home was 24% [95%CI: (19.9%-28.2%)] The factors significantly associated with the preference of home birth were husband involvement in decision making [AOR: 0.14 (0.05–0.38)], no access of road for transportation [AOR: 2.4 (1.2–5.18)], not heard about the benefit of institutional birth [AOR: 5.3 (2.3–12.2)], poor knowledge about danger signs [AOR: 3 (1.16–7.6)], negative attitude toward services [AOR: 3.1 (1.19–8.02)], and high fear to give birth at institution [AOR: 5.12 (2.4–10.91)]. Conclusions In Arba Minch demographic health surveillance site, the prevalence of preference of pregnant women to give birth at their home was 24%. Husband involvement in decision making, no access of road for transportation, not heard about the benefit of institutional birth, poor knowledge about danger signs, negative attitude toward services, and high fear to give birth at health institutions were factors significantly associated with the preference of home birth.

“…Ethiopia (23,(28)(29)(30), Sub-Saharan Africa countries, Nepal, and Ghana (26,31,32). Attaining higher education among women can influence the choice of place of delivery in different ways.…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal distribution and determinants of home delivery in Ethiopia. Multilevel and spatial analysis of EDHS 2005- 2016

Tiruneh

2019

Preprint

Background: Globally, only 80% of live births occurred at health facilities assisted by skilled health personnel. In Ethiopia, only 26% of live births attended by skilled health personal. The aim of this study was to assess the spatial patterns and determinants of home delivery in Ethiopia from 2005 to 2016. Method: A total of 34,348 women who gave live birth in the five years preceding each survey were included for this study. ArcGIS version 10.7 software was used to visualize spatial distribution for home delivery. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for home delivery in Ethiopia. Result: Home delivery was declined from 94.78% in 2005 to 90.05% in 2011, and 73.44% in 2016 in Ethiopia. Among the three surveys, consistently high clustering of home delivery was observed in Amhara and Southern Nation Nationalities and People Regions of Ethiopia. In spatial scan statistics analysis, a total of 128 clusters (RR= 1.04, P-value < 0.001) in 2005, and 90 clusters (RR = 1.11, P-value < 0.001) in 2011, and 55 clusters (RR = 1.29, P-value < 0.001) in 2016 significant primary clusters were identified. Educational status of women and husband, religion, distance to the health facility, mobile access, antenatal care visit, birth order, parity, wealth index, residence, and region were statistically associated with home delivery. Conclusion: The spatial distribution of home delivery among the three consecutive surveys were non-random in Ethiopia. Low educational status of women and her husband, long distance to the health facility, poor wealth index, rural residence, multiparity, have no mobile access, living in Amhara and SNNP region, and had no antenatal care visit were significant predictors of home delivery in Ethiopia. Therefore, An intervention needs to improve the coverage of antenatal care, women and her husband's education, health care facilities and mobile access. Special attention should give women live in Amhara and SNNPR regions. Key Words: Home delivery, EDHS, Spatial Distribution, Ethiopia.