Evidence mapPaperPMID 40517434Full record

ArticleEuropean journal of public health2025

Healthcare claims and health interview survey data for chronic disease surveillance: agreement and comparative validity of prevalence indicators for 20 chronic conditions in a general population sample in France.

Joël Coste, Laurence Mandereau-Bruno, Panayotis Constantinou, Valérie Olié, Anne Thuret, Mathias Bruyand, Tatjana T Makovski, Laure Carcaillon-Bentata

Abstract readComparative Study
In one paragraph

Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Joël CosteDepartment of Non-Communicable Diseases and Injuries, French Public Health Agency (Santé publique France), Saint-Maurice, France.ORCID 0000-0001-7674-7192
Laurence Mandereau-BrunoData Science Division, French Public Health Agency (Santé publique France), Saint-Maurice, France.
Panayotis ConstantinouDirection of Strategy, Studies and Statistics, French National Health Insurance (Cnam), Paris, France.
Valérie OliéDepartment of Non-Communicable Diseases and Injuries, French Public Health Agency (Santé publique France), Saint-Maurice, France.ORCID 0000-0002-4837-1930
Anne ThuretDepartment of Non-Communicable Diseases and Injuries, French Public Health Agency (Santé publique France), Saint-Maurice, France.
Mathias BruyandDepartment of Non-Communicable Diseases and Injuries, French Public Health Agency (Santé publique France), Saint-Maurice, France.
Tatjana T MakovskiDepartment of Non-Communicable Diseases and Injuries, French Public Health Agency (Santé publique France), Saint-Maurice, France.
Laure Carcaillon-BentataDepartment of Non-Communicable Diseases and Injuries, French Public Health Agency (Santé publique France), Saint-Maurice, France.

Funding

French Public Health Agency
6 · The paper itself

Abstract

Healthcare claims data are increasingly used to derive chronic condition (CC) surveillance indicators, although comparative evidence with self-reported data remains scarce. We explored the agreement and comparative validity (concurrent and predictive) of 20 CC prevalence indicators independently constructed using the French National Health Data System (SNDS) and Health, Health Care, and Insurance Survey (ESPS 2010-2014). Individual data from 5039 ESPS participants aged ≥25 years, representative of the 2010 French general population, were linked to the SNDS. Follow-up data included a 2014 health self-assessment and 5-year mortality. We considered 20 CCs with corresponding SNDS case-identifying algorithms and self-reported information from ESPS, including most cardiovascular diseases and frequent cancers. Kappa statistics assessed agreement between CC indicators across databases. Polytomous and dichotomous logistic regression assessed determinants of disagreement between sources and associations of indicators with health outcomes (concurrent and predictive validity). Prevalence values were much higher with survey data except for hypertension, diabetes, thyroid disorders, epilepsy, and most cancers for which they were closer (±20%) to claims data. Agreement between CC indicators varied from the strongest (hypertension, diabetes, thyroid disorders, most cancers) to the weakest (cardiac rhythm disorders, peptic ulcer, chronic liver diseases). Sex, age, and multimorbidity strongly influenced agreement. Most claims database indicators were more strongly associated with health outcomes. Health interview surveys and healthcare claims-derived indicators are not interchangeable given their specific determinants. Since no general rule applies to all CCs, the advantages and disadvantages of each data source should be closely considered in case-to-case analysis.

Indexed as

Health SurveysInsurance Claim ReviewPopulation SurveillanceAdultAgedChronic DiseaseFemaleFranceHumansMaleMiddle AgedPrevalenceReproducibility of ResultsSelf Report

Identifiers

PMID40517434
PMCPMC12311332

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.