ArticleInternational journal of health geographics2020
Beyond the map: evidencing the spatial dimension of health inequalities.
Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Spatial Epidemiological Approach to Tuberculosis Treatment Outcomes in a Tertiary-Level Hospital: A Retrospective Analysis.Tropical medicine and infectious disease · 2026Article
- Measuring cancer equity globally: harmonising international rural-urban classifications for exploring cancer outcomes.The Lancet regional health. Western Pacific · 2026Review
- Diffusion and division: A spatial analysis of surrogacy policy determinants in the United States.SSM - population health · 2025Article
- Behavioral Profiles and Sociodemographic Predictors of Planetary Health Diet Engagement Among Health Care Professionals to Inform Public Health Promotion: Cross-Sectional Study.JMIR public health and surveillance · 2025Article
- Geospatial Insights into Healthcare Accessibility in Europe: A Scoping Review of GIS Applications.Healthcare (Basel, Switzerland) · 2025Review
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- Medical deserts in Finland: measuring the accessibility and availability of primary health care services.BMC health services research · 2025Article
- Use of mortality tables by level of deprivation in the study of social inequalities in cancer survival.European journal of epidemiology · 2025Article
- Predictive Utility of Pre- and Post-Endoscopic Risk Scores and Hemodynamic Indexes in Acute Upper Gastrointestinal Bleeding in the Emergency Department.International journal of general medicine · 2025Article
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- The epidemiology of the most frequent cancers in Poland in 2015-2021 and the impact of the COVID-19 pandemic on cancer incidence.Archives of public health = Archives belges de sante publique · 2024Article
- A French classification to describe medical deserts: a multi-professional approach based on the first contact with the healthcare system.International journal of health geographics · 2024Article
- Trends in Healthy Life Expectancy (HALE) and Disparities by Income and Region in Korea (2008-2020): Analysis of a Nationwide Claims Database.Journal of Korean medical science · 2024Article
- The iceberg of dementia risk: empirical and conceptual arguments in favor of structural interventions for brain health.Cerebral circulation - cognition and behavior · 2024Article
- A holistic model of health inequalities for health policy and state administration: a case study in the regions of the Czech Republic.International journal for equity in health · 2023Article
- Income and rural-urban status moderate the association between income inequality and life expectancy in US census tracts.Journal of health, population, and nutrition · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpatial inequalities in health result from different exposures to health risk factors according to the features of geographical contexts, in terms of physical environment, social deprivation, and health care accessibility. Using a common geographical referential, which combines indices measuring these contextual features, could improve the comparability of studies and the understanding of the spatial dimension of health inequalities.
methodsWe developed the Geographical Classification for Health studies (GeoClasH) to distinguish French municipalities according to their ability to influence health outcomes. Ten contextual scores measuring physical and social environment as well as spatial accessibility of health care have been computed and combined to classify French municipalities through a K-means clustering. Age-standardized mortality rates according to the clusters of this classification have been calculated to assess its effectiveness.
resultsSignificant lower mortality rates compared to the mainland France population were found in the Wealthy Metropolitan Areas (SMR = 0.868, 95% CI 0.863-0.873) and in the Residential Outskirts (SMR = 0.971, 95% CI 0.964-0.978), while significant excess mortality were found for Precarious Population Districts (SMR = 1.037, 95% CI 1.035-1.039), Agricultural and Industrial Plains (SMR = 1.066, 95% CI 1.063-1.070) and Rural Margins (SMR = 1.042, 95% CI 1.037-1.047).
conclusionsOur results evidence the comprehensive contribution of the geographical context in the constitution of health inequalities. To our knowledge, GeoClasH is the first nationwide classification that combines social, environmental and health care access scores at the municipality scale. It can therefore be used as a proxy to assess the geographical context of the individuals in public health studies.
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