A multilevel analysis of the predictors of health facility delivery in Ghana: Evidence from the 2014 Demographic and Health Survey.

Autor:	Aheto JMK; Department of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana.; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.; College of Public Health, University of South Florida, Tampa, Florida, United States of America., Gates T; College of Public Health, University of South Florida, Tampa, Florida, United States of America., Tetteh I; Department of Community Health, University of Ghana Medical School, Korle-Bu, University of Ghana, Accra, Ghana., Babah R; Department of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana.
Jazyk:	angličtina
Zdroj:	PLOS global public health [PLOS Glob Public Health] 2024 Mar 13; Vol. 4 (3), pp. e0001254. Date of Electronic Publication: 2024 Mar 13 (Print Publication: 2024).
DOI:	10.1371/journal.pgph.0001254
Abstrakt:	Health facility delivery has the potential to improve birth and general health outcomes for both newborns and mothers. Regrettably, not all mothers, especially in low-and-middle income countries like Ghana deliver at health facilities, and mostly under unhygienic conditions. Using data from the 2014 Ghana Demographic and Health Survey, we fitted both weighted single-level and random intercept multilevel binary logistic regression models to analyse predictors of a health facility delivery among mothers aged 15-49 years and to quantify unobserved household and community differences in the likelihood of health facility delivery. We analysed data on 4202 mothers residing in 3936 households and 427 communities. Of the 4202 mothers who delivered, 3031 (75.3%-weighted and 72.1%-unweighted) delivered at the health facility. Substantial unobserved household only (Median Odds Ratio (MOR) = 5.1) and household conditional on community (MOR = 4.7) level differences in the likelihood of health facility delivery were found. Mothers aged 25-34 (aOR = 1.4, 95%CI: 1.0-2.1) and 35-44 (aOR = 2.9, 95%CI: 1.7-4.8), mothers with at least a secondary education (aOR = 2.7, 95%CI: 1.7-4.1), with health insurance coverage (aOR = 1.6, 95%CI: 1.2-2.2) and from richer/richest households (aOR = 8.3, 95%CI: 3.6-19.1) and with piped water (aOR = 1.5, 95%CI: 1.1-2.1) had increased odds of health facility delivery. Mothers residing in rural areas (aOR = 0.3, 95%CI: 0.2-0.5) and with no religion (aOR = 0.5, 95%CI: 0.3-1.0) and traditional religion (aOR = 0.2, 95%CI: 0.1-0.6), who reported not wanting to go to health facilities alone as a big problem (aOR = 0.5, 95%CI: 0.3-0.8) and having a parity of 2 (aOR = 0.4, 95%CI: 0.3-0.7), 3 (aOR = 0.3, 95%CI: 0.2-0.6) and ≥4 (aOR = 0.3, 95%CI: 0.1-0.5) had reduced odds of health facility delivery. Our predictive model showed outstanding predictive power of 96%. The study highlights the need for improved healthcare seeking behaviours, maternal education and household wealth, and bridge the urban-rural gaps to improve maternal and newborn health outcomes. Competing Interests: The authors have declared that no competing interests exist (Copyright: © 2024 Aheto 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.)
Databáze:	MEDLINE
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