Individual and community-level factors associated with home birth: a mixed effects regression analysis of 2017–2018 Benin demographic and health survey

Author:

Appiah Francis,Owusu Bernard Afriyie,Ackah Josephine Akua,Ayerakwah Patience Ansomah,Bediako Vincent Bio,Ameyaw Edward Kwabena

Abstract

Abstract Background Home birth is a common contributor to maternal and neonatal deaths particularly in low and middle-income countries (LMICs). We generally refer to home births as all births that occurred at the home setting. In Benin, home birth is phenomenal among some category of women. We therefore analysed individual and community-level factors influencing home birth in Benin. Methods Data was extracted from the 2017–2018 Benin Demographic and Health Survey females’ file. The survey used stratified sampling technique to recruit 15,928 women aged 15–49. This study was restricted to 7758 women in their reproductive age who had complete data. The outcome variable was home birth among women. A mixed effect regression analysis was performed using 18 individual and community level explanatory variables. Alpha threshold was fixed at 0.05 confidence interval (CI). All analyses were done using STATA (v14.0). The results were presented in adjusted odds ratios (AORs). Results We found that 14% (n = 1099) of the respondents delivered at home. The odds of home births was high among cohabiting women compared with the married [AOR = 1.57, CI = 1.21–2.04] and women at parity 5 or more compared with those at parity 1–2 [AOR = 1.29, CI = 1.01–1.66]. The odds declined among the richest [AOR = 0.07, CI = 0.02–0.24], and those with formal education compared with those without formal education [AOR = 0.71, CI = 0.54–0.93]. Similarly, it was less probable for women whose partners had formal education relative to those whose partners had no formal education [AOR = 0.62, CI = 0.49–0.79]. The tendency of home birth was low for women who did not have problem in getting permission to seek medical care [AOR = 0.62, CI = 0.50–0.77], had access to mass media [AOR = 0.78, CI = 0.60–0.99], attained the recommended ANC visits [AOR = 0.33, CI = 0.18–0.63], belonged to a community of high literacy level [AOR = 0.24, CI = 0.14–0.41], and those from communities of high socio-economic status (SES) [AOR = 0.25, CI = 0.14–0.46]. Conclusion The significant predictors of home birth are wealth status, education, marital status, parity, partner’s education, access to mass media, getting permission to go for medical care, ANC visit, community literacy level and community SES. To achieve maternal and child health related goals including SDG 3 and 10, the government of Benin and all stakeholders must prioritise these factors in their quest to promote facility-based delivery.

Publisher

Springer Science and Business Media LLC

Subject

Obstetrics and Gynecology

Reference43 articles.

1. Ahinkorah BO. Individual and contextual factors associated with mistimed and unwanted pregnancies among adolescent girls and young women in selected high fertility countries in sub-Saharan Africa: a multilevel mixed effects analysis. PLoS One. 2020;15(10):e0241050. https://doi.org/10.1371/journal.pone.0241050.

2. Alvarez JL, Gil R, Hernández V, Gil A. Factors associated with maternal mortality in sub-Saharan Africa: an ecological study. BMC Public Health. 2009;9(1):1–8.

3. Amponsah E, Moses I. Expectant mothers and the demand for institutional delivery: do household income and access to health information matter? Some insight from Ghana. Eur J Soc Sci. 2009;8(3):469–82.

4. Bell JS, Curtis SL, Alayón S. Trends in delivery care in six countries. DHS Analytical Studies No 7. Calverton: ORC Macro and International Research Partnership for Skilled Attendance for Everyone (SAFE); 2003. Retrieved from http://www.meas.uredhs.com/pubs/pub_details.cfm?%20ID=482&srchTp=advanced

5. Buor D, Bream K. An analysis of the determinants of maternal mortality in sub-Saharan Africa. J Womens Health. 2004;13(8):926–38. https://doi.org/10.1089/jwh.2004.13.926.

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