Cargando…

Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries

BACKGROUND: Having hospitals located in urban areas where people, resources and wealth concentrate is efficient, but leaves long travel times for the rural and often poorer population and goes against the equity objective. We aimed to assess the current efficiency (mean travel time in the whole popu...

Descripción completa

Detalles Bibliográficos
Autores principales: Wong, Kerry LM, Brady, Oliver J, Campbell, Oona Maeve Renee, Jarvis, Christopher I, Pembe, Andrea, Gomez, Gabriela B, Benova, Lenka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730570/
https://www.ncbi.nlm.nih.gov/pubmed/31543989
http://dx.doi.org/10.1136/bmjgh-2019-001552
_version_ 1783449570853781504
author Wong, Kerry LM
Brady, Oliver J
Campbell, Oona Maeve Renee
Jarvis, Christopher I
Pembe, Andrea
Gomez, Gabriela B
Benova, Lenka
author_facet Wong, Kerry LM
Brady, Oliver J
Campbell, Oona Maeve Renee
Jarvis, Christopher I
Pembe, Andrea
Gomez, Gabriela B
Benova, Lenka
author_sort Wong, Kerry LM
collection PubMed
description BACKGROUND: Having hospitals located in urban areas where people, resources and wealth concentrate is efficient, but leaves long travel times for the rural and often poorer population and goes against the equity objective. We aimed to assess the current efficiency (mean travel time in the whole population) and equity (difference in travel time between the poorest and least poor deciles) of hospital care provision in four sub-Saharan African countries, and to compare them against their theoretical optima. METHODS: We overlaid the locations of 480, 115, 3787 and 256 hospitals in Kenya, Malawi, Nigeria and Tanzania, respectively, with high-resolution maps of travel time, population and wealth to estimate current efficiency and equity. To identify the potential optima, we simulated 7500 sets of hospitals locations based on various population and wealth weightings and percentage reallocations for each country. RESULTS: The average travel time ranged from 38 to 79 min across countries, and the respective optima were mildly shorter (<15%). The observed equity gaps were wider than their optima. Compared with the best case scenarios, differences in the equity gaps varied from 7% in Tanzania to 77% in Nigeria. In Kenya, Malawi and Tanzania, narrower equity gaps without increasing average travel time were seen from simulations that held 75%–90% of hospitals at their current locations. INTERPRETATIONS: Current hospital distribution in the four sub-Saharan African countries could be considered efficient. Simultaneous gains in efficiency and equity do not necessarily require a fundamental redesign of the healthcare system. Our analytical approach is readily extendible to aid decision support in adding and upgrading existing hospitals.
format Online
Article
Text
id pubmed-6730570
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-67305702019-09-20 Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries Wong, Kerry LM Brady, Oliver J Campbell, Oona Maeve Renee Jarvis, Christopher I Pembe, Andrea Gomez, Gabriela B Benova, Lenka BMJ Glob Health Research BACKGROUND: Having hospitals located in urban areas where people, resources and wealth concentrate is efficient, but leaves long travel times for the rural and often poorer population and goes against the equity objective. We aimed to assess the current efficiency (mean travel time in the whole population) and equity (difference in travel time between the poorest and least poor deciles) of hospital care provision in four sub-Saharan African countries, and to compare them against their theoretical optima. METHODS: We overlaid the locations of 480, 115, 3787 and 256 hospitals in Kenya, Malawi, Nigeria and Tanzania, respectively, with high-resolution maps of travel time, population and wealth to estimate current efficiency and equity. To identify the potential optima, we simulated 7500 sets of hospitals locations based on various population and wealth weightings and percentage reallocations for each country. RESULTS: The average travel time ranged from 38 to 79 min across countries, and the respective optima were mildly shorter (<15%). The observed equity gaps were wider than their optima. Compared with the best case scenarios, differences in the equity gaps varied from 7% in Tanzania to 77% in Nigeria. In Kenya, Malawi and Tanzania, narrower equity gaps without increasing average travel time were seen from simulations that held 75%–90% of hospitals at their current locations. INTERPRETATIONS: Current hospital distribution in the four sub-Saharan African countries could be considered efficient. Simultaneous gains in efficiency and equity do not necessarily require a fundamental redesign of the healthcare system. Our analytical approach is readily extendible to aid decision support in adding and upgrading existing hospitals. BMJ Publishing Group 2019-08-21 /pmc/articles/PMC6730570/ /pubmed/31543989 http://dx.doi.org/10.1136/bmjgh-2019-001552 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Wong, Kerry LM
Brady, Oliver J
Campbell, Oona Maeve Renee
Jarvis, Christopher I
Pembe, Andrea
Gomez, Gabriela B
Benova, Lenka
Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
title Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
title_full Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
title_fullStr Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
title_full_unstemmed Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
title_short Current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
title_sort current realities versus theoretical optima: quantifying efficiency and sociospatial equity of travel time to hospitals in low-income and middle-income countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730570/
https://www.ncbi.nlm.nih.gov/pubmed/31543989
http://dx.doi.org/10.1136/bmjgh-2019-001552
work_keys_str_mv AT wongkerrylm currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries
AT bradyoliverj currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries
AT campbelloonamaeverenee currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries
AT jarvischristopheri currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries
AT pembeandrea currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries
AT gomezgabrielab currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries
AT benovalenka currentrealitiesversustheoreticaloptimaquantifyingefficiencyandsociospatialequityoftraveltimetohospitalsinlowincomeandmiddleincomecountries