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

被引:14
作者
Yaya, Sanni [1 ,2 ]
Anjorin, Seun Stephen [3 ]
Adedini, Sunday A. [4 ,5 ,6 ]
机构
[1] Univ Ottawa, Sch Int Dev & Global Studies, Ottawa, ON, Canada
[2] Imperial Coll London, George Inst Global Hlth, London, England
[3] Univ Warwick, Warwick Med Sch, Div Hlth Sci, Warwick Ctr Appl Hlth Res & Delivery WCAHRD, Coventry, W Midlands, England
[4] Fed Univ Oye Ekiti, Demog & Social Stat Dept, Fac Social Sci, Oye Ekiti, Nigeria
[5] Univ Witwatersrand, Programme Demog & Populat Studies, Sch Publ Hlth, Johannesburg, South Africa
[6] Univ Witwatersrand, Programme Demog & Populat Studies, Sch Social Sci, Johannesburg, South Africa
关键词
child health; health policy; health services research; maternal health; epidemiology;
D O I
10.1136/bmjgh-2020-004233
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundMaternal 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.MethodsWe 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.ResultsWe found that the average prevalence of maternal mortality ratio (MMR) in Africa was 415 per 100000 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.ConclusionMaternal 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.
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页数:10
相关论文
共 43 条
[1]   Evidence of health inequity in child survival: spatial and Bayesian network analyses of stillbirth rates in 194 countries [J].
Adeyinka, Daniel Adedayo ;
Olakunde, Babayemi Oluwaseun ;
Muhajarine, Nazeem .
SCIENTIFIC REPORTS, 2019, 9 (1)
[2]  
Adgoy ET., 2018, MOJ PUBLIC HLTH, V7, P140
[3]   The state of strategic plans for the health workforce in Africa [J].
Afriyie, Doris Osei ;
Nyoni, Jennifer ;
Ahmat, Adam .
BMJ GLOBAL HEALTH, 2019, 4
[4]  
[Anonymous], 2014, Maternal mortality ratio (per 100 000 live births)
[5]  
[Anonymous], 2014, Bayesian Networks: With Examples in R. Chapman & Hall/CRC Texts in Statistical Science
[6]  
[Anonymous], 2017, SDG 3: Ensure healthy lives and promote wellbeing for all at all ages
[7]   GeoDa:: An introduction to spatial data analysis [J].
Anselin, L ;
Syabri, I ;
Kho, Y .
GEOGRAPHICAL ANALYSIS, 2006, 38 (01) :5-22
[8]  
Anselin L, 2010, HDB APPL SPATIAL ANA, P73
[9]  
Bamgboye EA., 2010, RURAL URBAN DIFFEREN
[10]   An intersectional analysis of maternal mortality in Sub-Saharan Africa: a human rights issue [J].
Batist, Judah .
JOURNAL OF GLOBAL HEALTH, 2019, 9 (01)