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Patients with coronary artery disease after acute myocardial infarction: effects of continuous enrollment in a structured Disease Management Program on adherence to guideline-recommended medication, health care expenditures, and survival

Author

Listed:
  • Florian Kirsch

    (Helmholtz Zentrum München
    Ludwig-Maximilians-Universität)

  • Christian Becker

    (Helmholtz Zentrum München)

  • Anja Schramm

    (AOK Bayern, Service Center of Health Care Management)

  • Werner Maier

    (Helmholtz Zentrum München)

  • Reiner Leidl

    (Helmholtz Zentrum München
    Ludwig-Maximilians-Universität)

Abstract

Objective Acute myocardial infarction (AMI) carries increased risk of mortality and excess costs. Disease Management Programs (DMPs) providing guideline-recommended care for chronic diseases seem an intuitively appealing way to enhance health outcomes for patients with chronic conditions such as AMI. The aim of the study is to compare adherence to guideline-recommended medication, health care expenditures and survival of patients enrolled and not enrolled in the German DMP for coronary artery disease (CAD) after an AMI from the perspective of a third-party payer over a follow-up period of 3 years. Methods The study is based on routinely collected data from a regional statutory health insurance fund (n = 15,360). A propensity score matching with caliper method was conducted. Afterwards guideline-recommended medication, health care expenditures, and survival between patients enrolled and not enrolled in the DMP were compared with generalized linear and Cox proportional hazard models. Results The propensity score matching resulted in 3870 pairs of AMI patients previously and continuously enrolled and not enrolled in the DMP. In the 3-year follow-up period the proportion of days covered rates for ACE-inhibitors (60.95% vs. 58.92%), anti-platelet agents (74.20% vs. 70.66%), statins (54.18% vs. 52.13%), and β-blockers (61.95% vs. 52.64%) were higher in the DMP group. Besides that, DMP participants induced lower health care expenditures per day (€58.24 vs. €72.72) and had a significantly lower risk of death (HR: 0.757). Conclusion Previous and continuous enrollment in the DMP CAD for patients after AMI is a promising strategy as it enhances guideline-recommended medication, reduces health care expenditures and the risk of death.

Suggested Citation

  • Florian Kirsch & Christian Becker & Anja Schramm & Werner Maier & Reiner Leidl, 2020. "Patients with coronary artery disease after acute myocardial infarction: effects of continuous enrollment in a structured Disease Management Program on adherence to guideline-recommended medication, h," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 607-619, June.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:4:d:10.1007_s10198-020-01158-z
    DOI: 10.1007/s10198-020-01158-z
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    References listed on IDEAS

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    1. Buchner, Florian & Goepffarth, Dirk & Wasem, Juergen, 2013. "The new risk adjustment formula in Germany: Implementation and first experiences," Health Policy, Elsevier, vol. 109(3), pages 253-262.
    2. Glick, Henry A. & Doshi, Jalpa A. & Sonnad, Seema S. & Polsky, Daniel, 2014. "Economic Evaluation in Clinical Trials," OUP Catalogue, Oxford University Press, edition 2, number 9780199685028.
    3. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    4. Gapp, Oliver & Schweikert, Bernd & Meisinger, Christa & Holle, Rolf, 2008. "Disease management programmes for patients with coronary heart disease--An empirical study of German programmes," Health Policy, Elsevier, vol. 88(2-3), pages 176-185, December.
    5. Achelrod, Dmitrij & Welte, Tobias & Schreyögg, Jonas & Stargardt, Tom, 2016. "Costs and outcomes of the German disease management programme (DMP) for chronic obstructive pulmonary disease (COPD)—A large population-based cohort study," Health Policy, Elsevier, vol. 120(9), pages 1029-1039.
    6. de Bruin, Simone R. & Heijink, Richard & Lemmens, Lidwien C. & Struijs, Jeroen N. & Baan, Caroline A., 2011. "Impact of disease management programs on healthcare expenditures for patients with diabetes, depression, heart failure or chronic obstructive pulmonary disease: A systematic review of the literature," Health Policy, Elsevier, vol. 101(2), pages 105-121, July.
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    More about this item

    Keywords

    AMI; DMP CAD; Health care expenditures; Survival; Guideline-based medication;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health

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