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Comparing nationwide prevalences of hypertension and depression based on claims data and survey data: An example from Germany

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  • Frank, Janina

Abstract

Coded diagnoses in claims data offer a comprehensive basis for health sciences and health policy decisions. For example, morbidity-based risk adjustment schemes use coded diagnoses to allocate resources. Therefore a routinely performed validation is important. Data reconciliation with medical records would be first best, but is not possible here. This paper validates population-based prevalences of hypertension and depression based on claims data by comparing them with prevalences stem from two different epidemiological survey data.

Suggested Citation

  • Frank, Janina, 2016. "Comparing nationwide prevalences of hypertension and depression based on claims data and survey data: An example from Germany," Health Policy, Elsevier, vol. 120(9), pages 1061-1069.
    • Handle: RePEc:eee:hepoli:v:120:y:2016:i:9:p:1061-1069
    DOI: 10.1016/j.healthpol.2016.07.008
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    References listed on IDEAS

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    1. van de Ven, Wynand P.M.M. & Beck, Konstantin & Van de Voorde, Carine & Wasem, Jurgen & Zmora, Irit, 2007. "Risk adjustment and risk selection in Europe: 6 years later," Health Policy, Elsevier, vol. 83(2-3), pages 162-179, October.
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