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Health-economic evaluation of home telemonitoring for COPD in Germany: evidence from a large population-based cohort

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  • Dmitrij Achelrod

    (Universität Hamburg)

  • Jonas Schreyögg

    (Universität Hamburg)

  • Tom Stargardt

    (Universität Hamburg)

Abstract

Introduction Telemonitoring for COPD has gained much attention thanks to its potential of reducing morbidity and mortality, healthcare utilisation and costs. However, its benefit with regard to clinical and economic outcomes remains to be clearly demonstrated. Objective To analyse the effect of Europe’s largest COPD telemonitoring pilot project on direct medical costs, health resource utilisation and mortality at 12 months. Methods We evaluated a population-based cohort using administrative data. Difference-in-difference estimators were calculated to account for time-invariant unobservable heterogeneity after removing dissimilarities in observable characteristics between the telemonitoring and control group with a reweighting algorithm. Results The analysis comprised 651 telemonitoring participants and 7047 individuals in the standard care group. The mortality hazards ratio was lower in the intervention arm (HR 0.51, 95 % CI 0.30–0.86). Telemonitoring cut total costs by 895 € (p

Suggested Citation

  • Dmitrij Achelrod & Jonas Schreyögg & Tom Stargardt, 2017. "Health-economic evaluation of home telemonitoring for COPD in Germany: evidence from a large population-based cohort," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(7), pages 869-882, September.
    • Handle: RePEc:spr:eujhec:v:18:y:2017:i:7:d:10.1007_s10198-016-0834-x
    DOI: 10.1007/s10198-016-0834-x
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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. Florian Hofer & Dmitrij Achelrod & Tom Stargardt, 2016. "Cost-Utility Analysis of Telemonitoring Interventions for Patients with Chronic Obstructive Pulmonary Disease (COPD) in Germany," Applied Health Economics and Health Policy, Springer, vol. 14(6), pages 691-701, December.
    3. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    4. Colin D Mathers & Dejan Loncar, 2006. "Projections of Global Mortality and Burden of Disease from 2002 to 2030," PLOS Medicine, Public Library of Science, vol. 3(11), pages 1-20, November.
    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. G. Paré & P. Poba-Nzaou & Claude Sicotte & A. Beaupré & É. Lefrançois & D. Nault & D. Saint-Jules, 2013. "Comparing the costs of home telemonitoring and usual care of chronic obstructive pulmonary disease patients: A randomized controlled trial," Post-Print hal-01517049, HAL.
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    Cited by:

    1. Klaus Kaier & Silvia Hils & Stefan Fetzer & Philip Hehn & Anja Schmid & Dieter Hauschke & Lioudmila Bogatyreva & Bernd Jänigen & Przemyslaw Pisarski, 2017. "Results of a randomized controlled trial analyzing telemedically supported case management in the first year after living donor kidney transplantation - a budget impact analysis from the healthcare pe," Health Economics Review, Springer, vol. 7(1), pages 1-8, December.

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    More about this item

    Keywords

    Telemonitoring; COPD; Cost-effectiveness; Administrative data;
    All these keywords.

    JEL classification:

    • 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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