A multilevel analysis of the predictors of health facility delivery in Ghana: Evidence from the 2014 Demographic and Health Survey
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Plos Global Public Health
Abstract
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.
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Research Article
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Aheto JMK, Gates T, Tetteh I, Babah R (2024) A multilevel analysis of the predictors of health facility delivery in Ghana: Evidence from the 2014 Demographic and Health Survey. PLOS Glob Public Health 4(3): e0001254. https://doi.org/ 10.1371/journal.pgph.0001254