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. 2021 Feb;6(2):e004233.
doi: 10.1136/bmjgh-2020-004233.

Disparities in pregnancy-related deaths: spatial and Bayesian network analyses of maternal mortality ratio in 54 African countries

Affiliations

Disparities in pregnancy-related deaths: spatial and Bayesian network analyses of maternal mortality ratio in 54 African countries

Sanni Yaya et al. BMJ Glob Health. 2021 Feb.

Abstract

Background: Maternal mortality remains a public health problem despite several global efforts. Globally, about 830 women die of pregnancy-related death per day, with more than two-third of these cases occurring in Africa. We examined the spatial distribution of maternal mortality in Africa and explored the influence of SDoH on the spatial distribution.

Methods: We used country-level secondary data of 54 African countries collected between 2006 and 2018 from three databases namely, World Development Indicator, WHO's Global Health Observatory Data and Human Development Report. We performed descriptive analyses, presented in tables and maps. The spatial analysis involved local indicator of spatial autocorrelation maps and spatial regression. Finally, we built Bayesian networks to determine and show the strength of social determinants associated with maternal mortality.

Results: We found that the average prevalence of maternal mortality ratio (MMR) in Africa was 415 per 100 000 live births. Findings from the spatial analyses showed clusters (hotspots) of MMR with seven countries (Guinea-Bissau, Guinea, Sierra Leone, Cote d'Ivoire, Chad and Cameroon, Mauritania), all within the Middle and West Africa. On the other hand, the cold spot clusters were formed by two countries; South Africa and Namibia; eight countries (Algeria, Tunisia, Libya, Ghana, Gabon and Congo, Equatorial Guinea and Cape Verde) formed low-high clusters; thus, indicating that these countries have significantly low MMR but within the neighbourhood of countries with significantly high MMR. The findings from the regression and Bayesian network analysis showed that gender inequities and the proportion of skilled birth attendant are strongest social determinants that drive the variations in maternal mortality across Africa.

Conclusion: Maternal mortality is very high in Africa especially in countries in the middle and western African subregions. To achieve the target 3.1 of the sustainable development goal on maternal health, there is a need to design effective strategies that will address gender inequalities and the shortage of health professionals.

Keywords: child health; epidemiology; health policy; health services research; maternal health.

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Conflict of interest statement

Competing interests: SY is editorial board member of this journal.

Figures

Figure 1
Figure 1
Social determinants framework for maternal death.
Figure 2
Figure 2
Quartile map for descriptive distribution maternal mortality ratio in Africa.
Figure 3
Figure 3
LISA map for maternal mortality ratio (MMR) in Africa. LISA, local indicator of spatial autocorrelation.
Figure 4
Figure 4
Adjusted LISA map of MMR with significant variables in final mode. LISA, local indicator of spatial autocorrelation; MMR, maternal mortality ratio
Figure 5
Figure 5
(A) Bayesian network of probabilistic inference of African regions, gender inequality, ANC coverage, skilled birth attendants at delivery (skill attendant), anaemia in pregnancy, current, health expenditure as percentage of GDP (CHE), birth by caesarean section (CS) and underweight. (B) Bayesian network of probabilistic inference (%) of the key determinants of MMR; the strength of influence was illustrated by weighted normalized width of arcs (arrows).

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References

    1. World Health Organisation (WHO) Maternal mortality ratio (per 100 000 live births), 2014. Available: https://www.who.int/healthinfo/statistics/indmaternalmortality/en/ [Accessed 02 Aug 2020].
    1. Patwardhan M, Eckert LO, Spiegel H, et al. . Maternal death: case definition and guidelines for data collection, analysis, and presentation of immunization safety data. Vaccine 2016;34:6077–83. 10.1016/j.vaccine.2016.03.042 - DOI - PMC - PubMed
    1. Yamin AE, Boulanger VM, Falb KL, et al. . Costs of inaction on maternal mortality: qualitative evidence of the impacts of maternal deaths on living children in Tanzania. PLoS One 2013;8:e71674. 10.1371/journal.pone.0071674 - DOI - PMC - PubMed
    1. Bazile J, Rigodon J, Berman L, et al. . Intergenerational impacts of maternal mortality: qualitative findings from rural Malawi. Reprod Health 2015;12 Suppl 1:S1. 10.1186/1742-4755-12-S1-S1 - DOI - PMC - PubMed
    1. World Health Organisation Maternal mortality, 2019. Available: https://www.who.int/news-room/fact-sheets/detail/maternal-mortality [Accessed 02 Aug 2020].

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