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Cost–benefit analysis of the CoCare intervention to improve medical care in long-term care nursing homes: an analysis based on claims data

Author

Listed:
  • Boris A. Brühmann

    (University of Freiburg)

  • Klaus Kaier

    (University of Freiburg)

  • Rieka Warth

    (University of Freiburg)

  • Erik Farin-Glattacker

    (University of Freiburg)

Abstract

Background Providing adequate medical care to nursing home residents is challenging. Transfers to emergency departments are frequent, although often avoidable. We conducted the complex CoCare intervention with the aim to optimize nursing staff–physician collaboration to reduce avoidable hospital admissions and ambulance transportations, thereby reducing costs. Methods This prospective, non-randomized study, based on German insurance data, includes residents in nursing homes. Health care cost from a payer perspective and cost–savings of such a complex intervention were investigated. The utilisation of services after implementation of the intervention was compared with services in previous quarters as well as services in the control group. To compensate for remaining differences in resident characteristics between intervention and control group, a propensity score was determined and adjusted for in the regression analyses. Results The study population included 1240 residents in the intervention and 7552 in the control group. Total costs of medical services utilisation were reduced by €468.56 (p

Suggested Citation

  • Boris A. Brühmann & Klaus Kaier & Rieka Warth & Erik Farin-Glattacker, 2023. "Cost–benefit analysis of the CoCare intervention to improve medical care in long-term care nursing homes: an analysis based on claims data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(8), pages 1343-1355, November.
    • Handle: RePEc:spr:eujhec:v:24:y:2023:i:8:d:10.1007_s10198-022-01546-7
    DOI: 10.1007/s10198-022-01546-7
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    References listed on IDEAS

    as
    1. Kreis, Kristine & Neubauer, Sarah & Klora, Mike & Lange, Ansgar & Zeidler, Jan, 2016. "Status and perspectives of claims data analyses in Germany—A systematic review," Health Policy, Elsevier, vol. 120(2), pages 213-226.
    2. Alecia Nickless & Merryn Voysey & John Geddes & Ly-Mee Yu & Thomas R Fanshawe, 2018. "Mixed effects approach to the analysis of the stepped wedge cluster randomised trial—Investigating the confounding effect of time through simulation," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-22, December.
    3. repec:mpr:mprres:6215 is not listed on IDEAS
    4. Kümpel, Christian & Schneider, Udo, 2020. "Additional reimbursement for outpatient physicians treating nursing home residents reduces avoidable hospital admissions: Results of a reimbursement change in Germany," Health Policy, Elsevier, vol. 124(4), pages 470-477.
    5. Sarah Neubauer & Kristine Kreis & Mike Klora & Jan Zeidler, 2017. "Access, use, and challenges of claims data analyses in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 533-536, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Claims data; Cost analysis; Secondary data; Propensity score; Complex health intervention; Nursing home residents;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health

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