La recherche au service de la performance en Santé
U.INSERM 1290 - La recherche au service de la performance en Santé
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Université Claude Bernard Lyon 1
U.INSERM 1290 - La recherche au service de la performance en Santé

Correction to: Beyond the map: evidencing the spatial dimension of health inequalities

Yohan Fayet, Delphine Praud, Béatrice Fervers, Isabelle Ray-Coquard, Jean-Yves Blay, Françoise Ducimetiere, Guy Fagherazzi & Elodie Faure

Background

Spatial 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.

Methods

We 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.

Results

Significant 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).

 https://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-020-00242-0 

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