Geospatial analysis of determinants of neonatal mortality in Ghana
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
BMC PUBLIC HEALTH
Abstract
Background: Ghana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds
and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most
important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression
models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal
deaths in Ghana.
Methods: The study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana
Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and
31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-
2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level
and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors
associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant.
Results: Population density, multiple births, smaller household sizes, high parity, and low birth weight significantly
increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having
neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only
single birth [aRR = 3.42, 95% CI: 1.63–7.17, p < 0.05]. Neonates who were perceived by their mothers to be small
were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19–3.63, p < 0.05]. A
unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased
risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30–1.69, p < 0.05].
Conclusion: Neonatal mortality in Ghana remains relatively high, and the factors that predisposed children to
neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births.
Improving pregnant women’s nutritional patterns and providing special support to women who have multiple
deliveries will reduce neonatal mortality in Ghana.
Description
Keywords
Neonatal mortality, Child health, Geospatial modeling, Ghana