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ABSTRACT: Background
This study seeks to understand distance from health facilities as a barrier to maternal and child health service uptake within a rural Liberian population. Better understanding the relationship between distance from health facilities and rural health care utilization is important for post-Ebola health systems reconstruction and for general rural health system planning in sub-Saharan Africa.Methods
Cluster-sample survey data collected in 2012 in a very rural southeastern Liberian population were analyzed to determine associations between quartiles of GPS-measured distance from the nearest health facility and the odds of maternal (ANC, facility-based delivery, and PNC) and child (deworming and care seeking for ARI, diarrhea, and fever) service use. We estimated associations by fitting simple and multiple logistic regression models, with standard errors adjusted for clustered data.Findings
Living in the farthest quartile was associated with lower odds of attending 1-or-more ANC checkup (AOR?=?0.04, P?ConclusionsWithin a rural Liberian population, distance is associated with reduced health care uptake. As Liberia rebuilds its health system after Ebola, overcoming geographic disparities, including through further dissemination of providers and greater use of community health workers should be prioritized.
SUBMITTER: Kenny A
PROVIDER: S-EPMC4512264 | biostudies-literature | 2015 Dec
REPOSITORIES: biostudies-literature
Kenny Avi A Basu Gaurab G Ballard Madeleine M Griffiths Thomas T Kentoffio Katherine K Niyonzima Jean Bosco JB Sechler G Andrew GA Selinsky Stephen S Panjabi Rajesh R RR Siedner Mark J MJ Kraemer John D JD
Journal of global health 20151201 2
<h4>Background</h4>This study seeks to understand distance from health facilities as a barrier to maternal and child health service uptake within a rural Liberian population. Better understanding the relationship between distance from health facilities and rural health care utilization is important for post-Ebola health systems reconstruction and for general rural health system planning in sub-Saharan Africa.<h4>Methods</h4>Cluster-sample survey data collected in 2012 in a very rural southeaster ...[more]