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Household Factors and Under-five Mortality in Bankass, Mali: Results from a Cross-sectional Survey

Overview
Publisher Biomed Central
Specialty Public Health
Date 2021 Jan 30
PMID 33514345
Citations 7
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Abstract

Background: Rural parts of Mali carry a disproportionate burden of the country's high under-five mortality rate. A range of household factors are associated with poor under-five health in resource-limited settings. However, it is unknown which most influence the under-five mortality rate in rural Mali. We aimed to describe household factors associated with under-five mortality in Bankass, a remote region in central Mali.

Methods: We analysed baseline household survey data from a trial being conducted in Bankass. The survey was administered to households between December 2016 and January 2017. Under-five deaths in the five years prior to baseline were documented along with detailed information on household factors and women's birth histories. Factors associated with under-five mortality were analysed using Cox regression.

Results: Our study population comprised of 17,408 under-five children from 8322 households. In the five years prior to baseline, the under-five mortality rate was 152.6 per 1000 live births (158.8 and 146.0 per 1000 live births for males and females, respectively). Living a greater distance from a primary health center was associated with a higher probability of under-five mortality for both males (adjusted hazard ratio [aHR] 1.53 for ≥10 km versus < 2 km, 95% confidence interval [CI] 1.25-1.88) and females (aHR 1.59 for ≥10 km versus < 2 km, 95% CI 1.27-1.99). Under-five male mortality was additionally associated with lower household wealth quintile (aHR 1.47 for poorest versus wealthiest, 95%CI 1.21-1.78), lower reading ability among women of reproductive age in the household (aHR 1.73 for cannot read versus can read, 95%CI 1.04-2.86), and living in a household with access to electricity (aHR 1.16 for access versus no access, 95%CI 1.00-1.34).

Conclusions: U5 mortality is very high in Bankass and is associated with living a greater distance from healthcare and several other household factors that may be amenable to intervention or facilitate program targeting.

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References
1.
Adebowale S, Morakinyo O, Ana G . Housing materials as predictors of under-five mortality in Nigeria: evidence from 2013 demographic and health survey. BMC Pediatr. 2017; 17(1):30. PMC: 5248529. DOI: 10.1186/s12887-016-0742-3. View

2.
Helleringer S, Arhinful D, Abuaku B, Humes M, Wilson E, Marsh A . Using community-based reporting of vital events to monitor child mortality: Lessons from rural Ghana. PLoS One. 2018; 13(1):e0192034. PMC: 5790256. DOI: 10.1371/journal.pone.0192034. View

3.
Liu J, Bousema T, Zelman B, Gesase S, Hashim R, Maxwell C . Is housing quality associated with malaria incidence among young children and mosquito vector numbers? Evidence from Korogwe, Tanzania. PLoS One. 2014; 9(2):e87358. PMC: 3914816. DOI: 10.1371/journal.pone.0087358. View

4.
Karra M, Fink G, Canning D . Facility distance and child mortality: a multi-country study of health facility access, service utilization, and child health outcomes. Int J Epidemiol. 2016; 46(3):817-826. DOI: 10.1093/ije/dyw062. View

5.
Noor A, Zurovac D, Hay S, Ochola S, Snow R . Defining equity in physical access to clinical services using geographical information systems as part of malaria planning and monitoring in Kenya. Trop Med Int Health. 2003; 8(10):917-26. PMC: 2912492. DOI: 10.1046/j.1365-3156.2003.01112.x. View