Multilevel modelling of neonatal mortality in Ghana: Does household and community levels matter?
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Heliyon
Abstract
Background: Neonatal mortality accounts for an increasing share of under-five deaths, and they
are declining at a slower rate than postnatal deaths. Apparently, neonatal mortality is increasingly becoming a major public health problem in Ghana and the world over. The current study
sought to analyze neonatal mortality as a function of predictor variables and to estimate and
understand unobserved household and community-level residual effects on neonatal mortality to
provide data driven evidence to shape informed policies and interventions aimed at reducing the
neonatal mortality burden.
Methods: The current study extracted three-level complex data on 5884 children born in the five
years preceding the 2014 Ghana Demographic and Health Survey. A two-level and three-level
multilevel logistic models were applied to estimate unobserved household and community level variations in neonatal mortality in the presence of set of predictor variables. Sampling
weights were incorporated in both the descriptive and inferential analysis since the data used
emanated from a complex survey. Model fit statistics such as AIC scores for a weighted two-level
and three-level random intercept logistic models were compared. The model with the lowest AIC
score was considered the most preferred model.
Results: The household-level random intercept model suggested that the odds of neonatal mortality was higher among multiple births [OR = 3.15 (95% CI: 1.17, 8.50)], babies born to mothers
who received prenatal care from non-skilled worker [OR = 5.88 (95% CI: 2.90, 11.91)], babies
delivered through caesarian section [OR = 2.47 (95% CI: 1.06, 5.79)], a household with 1–4
members [OR = 10.23 (95% CI: 4.17, 25.50)], a short preceding birth interval (<24 months) [OR
= 3.05 (95% CI: 1.18, 7.88)], and preceding birth interval between 24 and 47 months [OR = 2.88
(95% CI: 1.41, 5.91)]. Substantial unobserved household-level residual variations in neonatal
mortality were observed.
Conclusion: The findings of the current study provide an actionable information to be used by
government and other stakeholders in the health sector to renew commitment to reduce neonatal
mortality to an acceptable level. There is the need to intensify maternal health education by
health providers to encourage pregnant women to visit antenatal clinics at least four times so they
could benefit substantially from ANC services.
Description
Research Article
Keywords
Neonatal mortality, Multilevel modelling, Logistic regressionmodel, Ghana