Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

Abstract Background Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demographic information to identify disease. The aim of the current study was to obtain small geographic area prevalence estimates for four common chronic diseases by modelling based on medication use and socio-economic variables and next to investigate regional patterns of disease. Methods Admi... Mehr ...

Verfasser: Füssenich, Koen
Boshuizen, Hendriek C.
Nielen, Markus M. J.
Buskens, Erik
Feenstra, Talitha L.
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: BMC Public Health ; volume 21, issue 1 ; ISSN 1471-2458
Verlag/Hrsg.: Springer Science and Business Media LLC
Schlagwörter: Public Health / Environmental and Occupational Health
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26850421
Datenquelle: BASE; Originalkatalog
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Link(s) : http://dx.doi.org/10.1186/s12889-021-10754-4