Geographical Heterogeneity of Multiple Sclerosis Prevalence in France

Abstract : INTRODUCTION: Geographical variation in the prevalence of multiple sclerosis (MS) is controversial. Heterogeneity is important to acknowledge to adapt the provision of care within the healthcare system. We aimed to investigate differences in prevalence of MS in departments in the French territory. METHODS: We estimated MS prevalence on October 31, 2004 in 21 administrative departments in France (22% of the metropolitan departments) by using multiple data sources: the main French health insurance systems, neurologist networks devoted to MS and the Technical Information Agency of Hospitalization. We used a spatial Bayesian approach based on estimating the number of MS cases from 2005 and 2008 capture-recapture studies to analyze differences in prevalence. RESULTS: The age- and sex-standardized prevalence of MS per 100,000 inhabitants ranged from 68.1 (95% credible interval 54.6, 84.4) in Hautes-Pyrénées (southwest France) to 296.5 (258.8, 338.9) in Moselle (northeast France). The greatest prevalence was in the northeast departments, and the other departments showed great variability. DISCUSSION: By combining multiple data sources into a spatial Bayesian model, we found heterogeneity in MS prevalence among the 21 departments of France, some with higher prevalence than anticipated from previous publications. No clear explanation related to health insurance coverage and hospital facilities can be advanced. Population migration, socioeconomic status of the population studied and environmental effects are suspected.
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PLoS ONE, Public Library of Science, 2016, 11 (12), pp.e0167556 (eCollection 2016). 〈10.1371/journal.pone.0167556〉
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Soumis le : mardi 22 août 2017 - 14:27:30
Dernière modification le : vendredi 15 février 2019 - 01:29:28


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Diane Pivot, Marc Debouverie, Michel Grzebyk, David Brassat, Michel Clanet, et al.. Geographical Heterogeneity of Multiple Sclerosis Prevalence in France. PLoS ONE, Public Library of Science, 2016, 11 (12), pp.e0167556 (eCollection 2016). 〈10.1371/journal.pone.0167556〉. 〈inserm-01576154〉



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