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Mapping Health Disparities in 11 High-Income Nations
IMPORTANCE: Health care delivery faces a myriad of challenges globally with well-documented health inequities based on geographic location. Yet, researchers and policy makers have a limited understanding of the frequency of geographic health disparities. OBJECTIVE: To describe geographic health disp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329207/ https://www.ncbi.nlm.nih.gov/pubmed/37418259 http://dx.doi.org/10.1001/jamanetworkopen.2023.22310 |
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author | MacKinnon, Neil J. Emery, Vanessa Waller, Jennifer Ange, Brittany Ambade, Preshit Gunja, Munira Watson, Emma |
author_facet | MacKinnon, Neil J. Emery, Vanessa Waller, Jennifer Ange, Brittany Ambade, Preshit Gunja, Munira Watson, Emma |
author_sort | MacKinnon, Neil J. |
collection | PubMed |
description | IMPORTANCE: Health care delivery faces a myriad of challenges globally with well-documented health inequities based on geographic location. Yet, researchers and policy makers have a limited understanding of the frequency of geographic health disparities. OBJECTIVE: To describe geographic health disparities in 11 high-income countries. DESIGN, SETTING, AND PARTICIPANTS: In this survey study, we analyzed results from the 2020 Commonwealth Fund International Health Policy (IHP) Survey—a nationally representative, self-reported, and cross-sectional survey of adults from Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the UK, and the US. Eligible adults older than age 18 years were included by random sampling. Survey data were compared for the association of area type (rural or urban) with 10 health indicators across 3 domains: health status and socioeconomic risk factors, affordability of care, and access to care. Logistic regression was used to determine the associations between countries with area type for each factor, controlling for individuals’ age and sex. MAIN OUTCOMES AND MEASURES: The main outcomes were geographic health disparities as measured by differences in respondents living in urban and rural settings in 10 health indicators across 3 domains. RESULTS: There were 22 402 survey respondents (12 804 female [57.2%]), with a 14% to 49% response rate depending on the country. Across the 11 countries and 10 health indicators and 3 domains (health status and socioeconomic risk factors, affordability of care, access to care), there were 21 occurrences of geographic health disparities; 13 of those in which rural residence was a protective factor and 8 of those where rural residence was a risk factor. The mean (SD) number of geographic health disparities in the countries was 1.9 (1.7). The US had statistically significant geographic health disparities in 5 of 10 indicators, the most of any country, while Canada, Norway, and the Netherlands had no statistically significant geographic health disparities. The indicators with the most occurrences of geographic health disparities were in the access to care domain. CONCLUSIONS AND RELEVANCE: In this survey study of 11 high-income nations, health disparities across 10 indicators were identified. Differences in number of disparities reported by country suggest that health policy and decision makers in the US should look to Canada, Norway, and the Netherlands to improve geographic-based health equity. |
format | Online Article Text |
id | pubmed-10329207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-103292072023-07-09 Mapping Health Disparities in 11 High-Income Nations MacKinnon, Neil J. Emery, Vanessa Waller, Jennifer Ange, Brittany Ambade, Preshit Gunja, Munira Watson, Emma JAMA Netw Open Original Investigation IMPORTANCE: Health care delivery faces a myriad of challenges globally with well-documented health inequities based on geographic location. Yet, researchers and policy makers have a limited understanding of the frequency of geographic health disparities. OBJECTIVE: To describe geographic health disparities in 11 high-income countries. DESIGN, SETTING, AND PARTICIPANTS: In this survey study, we analyzed results from the 2020 Commonwealth Fund International Health Policy (IHP) Survey—a nationally representative, self-reported, and cross-sectional survey of adults from Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the UK, and the US. Eligible adults older than age 18 years were included by random sampling. Survey data were compared for the association of area type (rural or urban) with 10 health indicators across 3 domains: health status and socioeconomic risk factors, affordability of care, and access to care. Logistic regression was used to determine the associations between countries with area type for each factor, controlling for individuals’ age and sex. MAIN OUTCOMES AND MEASURES: The main outcomes were geographic health disparities as measured by differences in respondents living in urban and rural settings in 10 health indicators across 3 domains. RESULTS: There were 22 402 survey respondents (12 804 female [57.2%]), with a 14% to 49% response rate depending on the country. Across the 11 countries and 10 health indicators and 3 domains (health status and socioeconomic risk factors, affordability of care, access to care), there were 21 occurrences of geographic health disparities; 13 of those in which rural residence was a protective factor and 8 of those where rural residence was a risk factor. The mean (SD) number of geographic health disparities in the countries was 1.9 (1.7). The US had statistically significant geographic health disparities in 5 of 10 indicators, the most of any country, while Canada, Norway, and the Netherlands had no statistically significant geographic health disparities. The indicators with the most occurrences of geographic health disparities were in the access to care domain. CONCLUSIONS AND RELEVANCE: In this survey study of 11 high-income nations, health disparities across 10 indicators were identified. Differences in number of disparities reported by country suggest that health policy and decision makers in the US should look to Canada, Norway, and the Netherlands to improve geographic-based health equity. American Medical Association 2023-07-07 /pmc/articles/PMC10329207/ /pubmed/37418259 http://dx.doi.org/10.1001/jamanetworkopen.2023.22310 Text en Copyright 2023 MacKinnon NJ et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation MacKinnon, Neil J. Emery, Vanessa Waller, Jennifer Ange, Brittany Ambade, Preshit Gunja, Munira Watson, Emma Mapping Health Disparities in 11 High-Income Nations |
title | Mapping Health Disparities in 11 High-Income Nations |
title_full | Mapping Health Disparities in 11 High-Income Nations |
title_fullStr | Mapping Health Disparities in 11 High-Income Nations |
title_full_unstemmed | Mapping Health Disparities in 11 High-Income Nations |
title_short | Mapping Health Disparities in 11 High-Income Nations |
title_sort | mapping health disparities in 11 high-income nations |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329207/ https://www.ncbi.nlm.nih.gov/pubmed/37418259 http://dx.doi.org/10.1001/jamanetworkopen.2023.22310 |
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