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Impact of a diabetes disease management program on guideline-adherent care, hospitalization risk and health care costs: a propensity score matching study using real-world data

Author

Listed:
  • Marc Höglinger

    (Zurich University of Applied Sciences)

  • Brigitte Wirth

    (Zurich University of Applied Sciences)

  • Maria Carlander

    (Zurich University of Applied Sciences)

  • Cornelia Caviglia

    (Medbase Health Care Provider)

  • Christian Frei

    (Swica Health Insurance)

  • Birgitta Rhomberg

    (Swica Health Insurance)

  • Adrian Rohrbasser

    (Medbase Health Care Provider
    University of Bern)

  • Maria Trottmann

    (Swica Health Insurance)

  • Klaus Eichler

    (Zurich University of Applied Sciences)

Abstract

Objective To evaluate the impact of a DMP for patients with diabetes mellitus in a Swiss primary care setting. Methods In a prospective observational study, we compared diabetes patients in a DMP (intervention group; N = 538) with diabetes patients receiving usual care (control group; N = 5050) using propensity score matching with entropy balancing. Using a difference-in-difference (DiD) approach, we compared changes in outcomes from baseline (2017) to 1-year (2017/18) and to 2-year follow-up (2017/19). Outcomes included four measures for guideline-adherent diabetes care, hospitalization risk, and health care costs. Results We identified a positive impact of the DMP on the share of patients fulfilling all measures for guideline-adherent care [DiD 2017/18: 7.2 percentage-points, p

Suggested Citation

  • Marc Höglinger & Brigitte Wirth & Maria Carlander & Cornelia Caviglia & Christian Frei & Birgitta Rhomberg & Adrian Rohrbasser & Maria Trottmann & Klaus Eichler, 2023. "Impact of a diabetes disease management program on guideline-adherent care, hospitalization risk and health care costs: a propensity score matching study using real-world data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 469-478, April.
    • Handle: RePEc:spr:eujhec:v:24:y:2023:i:3:d:10.1007_s10198-022-01486-2
    DOI: 10.1007/s10198-022-01486-2
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    References listed on IDEAS

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    1. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    2. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    3. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    4. Wolfgang Greiner, 2005. "Health economic evaluation of disease management programs," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(3), pages 191-196, September.
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    Keywords

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    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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