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Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency

INTRODUCTION: Decisions regarding the geographical placement of healthcare services require consideration of trade-offs between equity and efficiency, but few empirical assessments are available. We applied a novel geospatial framework to study these trade-offs in four African countries. METHODS: Ge...

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Autores principales: Iyer, Hari S, Flanigan, John, Wolf, Nicholas G, Schroeder, Lee Frederick, Horton, Susan, Castro, Marcia C, Rebbeck, Timothy R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580044/
https://www.ncbi.nlm.nih.gov/pubmed/33087394
http://dx.doi.org/10.1136/bmjgh-2020-003493
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author Iyer, Hari S
Flanigan, John
Wolf, Nicholas G
Schroeder, Lee Frederick
Horton, Susan
Castro, Marcia C
Rebbeck, Timothy R
author_facet Iyer, Hari S
Flanigan, John
Wolf, Nicholas G
Schroeder, Lee Frederick
Horton, Susan
Castro, Marcia C
Rebbeck, Timothy R
author_sort Iyer, Hari S
collection PubMed
description INTRODUCTION: Decisions regarding the geographical placement of healthcare services require consideration of trade-offs between equity and efficiency, but few empirical assessments are available. We applied a novel geospatial framework to study these trade-offs in four African countries. METHODS: Geolocation data on population density (a surrogate for efficiency), health centres and cancer referral centres in Kenya, Malawi, Tanzania and Rwanda were obtained from online databases. Travel time to the closest facility (a surrogate for equity) was estimated with 1 km resolution using the Access Mod 5 least cost distance algorithm. We studied associations between district-level average population density and travel time to closest facility for each country using Pearson’s correlation, and spatial autocorrelation using the Global Moran’s I statistic. Geographical clusters of districts with inefficient resource allocation were identified using the bivariate local indicator of spatial autocorrelation. RESULTS: Population density was inversely associated with travel time for all countries and levels of the health system (Pearson’s correlation range, health centres: −0.89 to −0.71; cancer referral centres: −0.92 to −0.43), favouring efficiency. For health centres, negative spatial autocorrelation (geographical clustering of dissimilar values of population density and travel time) was weaker in Rwanda (−0.310) and Tanzania (−0.292), countries with explicit policies supporting equitable access to rural healthcare, relative to Kenya (−0.579) and Malawi (−0.543). Stronger spatial autocorrelation was observed for cancer referral centres (Rwanda: −0.341; Tanzania: −0.259; Kenya: −0.595; Malawi: −0.666). Significant geographical clusters of sparsely populated districts with long travel times to care were identified across countries. CONCLUSION: Negative spatial correlations suggested that the geographical distribution of health services favoured efficiency over equity, but spatial autocorrelation measures revealed more equitable geographical distribution of facilities in certain countries. These findings suggest that even when prioritising efficiency, thoughtful decisions regarding geographical allocation could increase equitable physical access to services.
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spelling pubmed-75800442020-10-27 Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency Iyer, Hari S Flanigan, John Wolf, Nicholas G Schroeder, Lee Frederick Horton, Susan Castro, Marcia C Rebbeck, Timothy R BMJ Glob Health Original Research INTRODUCTION: Decisions regarding the geographical placement of healthcare services require consideration of trade-offs between equity and efficiency, but few empirical assessments are available. We applied a novel geospatial framework to study these trade-offs in four African countries. METHODS: Geolocation data on population density (a surrogate for efficiency), health centres and cancer referral centres in Kenya, Malawi, Tanzania and Rwanda were obtained from online databases. Travel time to the closest facility (a surrogate for equity) was estimated with 1 km resolution using the Access Mod 5 least cost distance algorithm. We studied associations between district-level average population density and travel time to closest facility for each country using Pearson’s correlation, and spatial autocorrelation using the Global Moran’s I statistic. Geographical clusters of districts with inefficient resource allocation were identified using the bivariate local indicator of spatial autocorrelation. RESULTS: Population density was inversely associated with travel time for all countries and levels of the health system (Pearson’s correlation range, health centres: −0.89 to −0.71; cancer referral centres: −0.92 to −0.43), favouring efficiency. For health centres, negative spatial autocorrelation (geographical clustering of dissimilar values of population density and travel time) was weaker in Rwanda (−0.310) and Tanzania (−0.292), countries with explicit policies supporting equitable access to rural healthcare, relative to Kenya (−0.579) and Malawi (−0.543). Stronger spatial autocorrelation was observed for cancer referral centres (Rwanda: −0.341; Tanzania: −0.259; Kenya: −0.595; Malawi: −0.666). Significant geographical clusters of sparsely populated districts with long travel times to care were identified across countries. CONCLUSION: Negative spatial correlations suggested that the geographical distribution of health services favoured efficiency over equity, but spatial autocorrelation measures revealed more equitable geographical distribution of facilities in certain countries. These findings suggest that even when prioritising efficiency, thoughtful decisions regarding geographical allocation could increase equitable physical access to services. BMJ Publishing Group 2020-10-21 /pmc/articles/PMC7580044/ /pubmed/33087394 http://dx.doi.org/10.1136/bmjgh-2020-003493 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Iyer, Hari S
Flanigan, John
Wolf, Nicholas G
Schroeder, Lee Frederick
Horton, Susan
Castro, Marcia C
Rebbeck, Timothy R
Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
title Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
title_full Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
title_fullStr Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
title_full_unstemmed Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
title_short Geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
title_sort geospatial evaluation of trade-offs between equity in physical access to healthcare and health systems efficiency
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580044/
https://www.ncbi.nlm.nih.gov/pubmed/33087394
http://dx.doi.org/10.1136/bmjgh-2020-003493
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