IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v18y2017i2d10.1007_s10198-016-0769-2.html
   My bibliography  Save this article

Assessing asthma severity based on claims data: a systematic review

Author

Listed:
  • Christian Jacob

    (Xcenda GmbH)

  • Jennifer S. Haas

    (Xcenda GmbH)

  • Benno Bechtel

    (GlaxoSmithKline)

  • Peter Kardos

    (Allergy and Sleep Medicine at Red Cross Maingau Hospital)

  • Sebastian Braun

    (Xcenda GmbH)

Abstract

Introduction Asthma is one of the most common chronic diseases in Germany. Substantial economic evaluation of asthma cost requires knowledge of asthma severity, which is in general not part of claims data. Algorithms need to be defined to use this data source. Aims and objectives The aim of this study was to systematically review the international literature to identify algorithms for the stratification of asthma patients according to disease severity based on available information in claims data. Methods A systematic literature review was conducted in September 2015 using the DIMDI SmartSearch, a meta search engine including several databases with a national and international scope, e.g. BIOSIS, MEDLINE, and EMBASE. Claims data based studies that categorize asthma patients according to their disease severity were identified. Results The systematic research yielded 54 publications assessing asthma severity based on claims data. Thirty-nine studies used a standardized algorithm such as HEDIS, Leidy, the GINA based approach or CACQ. Sixteen publications applied a variety of different criteria for the severity categorisation such as asthma diagnoses, asthma-related drug prescriptions, emergency department visits, and hospitalisations. Conclusion There is no best practice method for the categorisation of asthma severity with claims data. Rather, a combination of algorithms seems to be a pragmatic approach. A transfer to the German context is not entirely possible without considering particular conditions associated with German claims data.

Suggested Citation

  • Christian Jacob & Jennifer S. Haas & Benno Bechtel & Peter Kardos & Sebastian Braun, 2017. "Assessing asthma severity based on claims data: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(2), pages 227-241, March.
    • Handle: RePEc:spr:eujhec:v:18:y:2017:i:2:d:10.1007_s10198-016-0769-2
    DOI: 10.1007/s10198-016-0769-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-016-0769-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10198-016-0769-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Juan, Tzu-Ling & Chang, Li-Chuan & Lee, Yue-Chune, 2022. "Copayment policy reforms and effective care utilization by patients with persistent asthma in Taiwan," Health Policy, Elsevier, vol. 126(2), pages 143-150.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eujhec:v:18:y:2017:i:2:d:10.1007_s10198-016-0769-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.