Comparing self-reported health interview survey and pharmacy billing data in determining the prevalence of diabetes, hypertension, and hypercholesterolemia in Belgium ...

Abstract Background Administrative and health surveys are used in monitoring key health indicators in a population. This study investigated the agreement between self-reported disease status from the Belgian Health Interview Survey (BHIS) and pharmaceutical insurance claims extracted from the Belgian Compulsory Health Insurance (BCHI) in ascertaining the prevalence of diabetes, hypertension, and hypercholesterolemia. Methods Linkage was made between the BHIS 2018 and the BCHI 2018, from which chronic condition was ascertained using the Anatomical Therapeutic Chemical (ATC) classification and d... Mehr ...

Verfasser: Vasquez, Maria Salve
Mertens, Elly
Berete, Finaba
Van der Heyden, Johan
Peñalvo, José L.
Vandevijvere, Stefanie
Dokumenttyp: Datenquelle
Erscheinungsdatum: 2024
Verlag/Hrsg.: figshare
Schlagwörter: Medicine / Biotechnology / Chemical Sciences not elsewhere classified / Biological Sciences not elsewhere classified / Cancer / Science Policy
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28970947
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.6722491

Abstract Background Administrative and health surveys are used in monitoring key health indicators in a population. This study investigated the agreement between self-reported disease status from the Belgian Health Interview Survey (BHIS) and pharmaceutical insurance claims extracted from the Belgian Compulsory Health Insurance (BCHI) in ascertaining the prevalence of diabetes, hypertension, and hypercholesterolemia. Methods Linkage was made between the BHIS 2018 and the BCHI 2018, from which chronic condition was ascertained using the Anatomical Therapeutic Chemical (ATC) classification and defined daily dose. The data sources were compared using estimates of disease prevalence and various measures of agreement and validity. Multivariable logistic regression was performed for each chronic condition to identify the factors associated to the agreement between the two data sources. Results The prevalence estimates computed from the BCHI and the self-reported disease definition in BHIS, respectively, are 5.8% ...