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

health equity health inequality health service provision health services research physical accessibility to health services shortest travel time sub-Saharan Africa

Journal

BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275

Informations de publication

Date de publication:
2019
Historique:
received: 08 03 2019
revised: 11 06 2019
accepted: 15 06 2019
entrez: 24 9 2019
pubmed: 24 9 2019
medline: 24 9 2019
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 31543989
doi: 10.1136/bmjgh-2019-001552
pii: bmjgh-2019-001552
pmc: PMC6730570
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e001552

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206471/Z/17/Z
Pays : United Kingdom

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Kerry Lm Wong (KL)

Infectious Disease and Epidemiology, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.

Oliver J Brady (OJ)

Infectious Disease and Epidemiology, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.
Centre for Mathematical Modelling for Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Oona Maeve Renee Campbell (OMR)

Infectious Disease and Epidemiology, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.

Christopher I Jarvis (CI)

Infectious Disease and Epidemiology, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Population Health, London, UK.
Centre for Mathematical Modelling for Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Andrea Pembe (A)

Obstetric and Gynaecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Gabriela B Gomez (GB)

Global Health and Development, London School of Hygiene and Tropical Medicine, London, London, UK.

Lenka Benova (L)

Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.

Classifications MeSH