IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v28y2019i2p189-203.html
   My bibliography  Save this article

Who benefits most in disease management programs: Improving target efficiency

Author

Listed:
  • Timothy Simcoe
  • Maryaline Catillon
  • Paul Gertler

Abstract

Disease management programs aim to reduce cost by improving the quality of care for chronic diseases. Evidence of their effectiveness is mixed. Reducing health care spending sufficiently to cover program costs has proved particularly challenging. This study uses a difference in differences design to examine the impact of a diabetes disease management program for high risk patients on preventive tests, health outcomes, and cost of care. Heterogeneity is examined along the dimensions of severity (measured using the proxy of poor glycemic control) and preventive testing received in the baseline year. Although disease management programs tend to focus on the sickest, the impact of this program concentrates in the group of people who had not received recommended tests in the preintervention period. If confirmed, such findings are practically important to improve cost‐effectiveness in disease management programs by targeting relevant subgroups defined both based on severity and on (missing) test information.

Suggested Citation

  • Timothy Simcoe & Maryaline Catillon & Paul Gertler, 2019. "Who benefits most in disease management programs: Improving target efficiency," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 189-203, February.
  • Handle: RePEc:wly:hlthec:v:28:y:2019:i:2:p:189-203
    DOI: 10.1002/hec.3836
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3836
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3836?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
    ---><---

    References listed on IDEAS

    as
    1. Nancy Beaulieu & David M. Cutler & Katherine Ho, 2006. "The Business Case for Diabetes Disease Management for Managed Care Organizations," NBER Chapters, in: Frontiers in Health Policy Research, Volume 9, National Bureau of Economic Research, Inc.
    2. Dusheiko, Mark & Gravelle, Hugh & Martin, Stephen & Rice, Nigel & Smith, Peter C., 2011. "Does better disease management in primary care reduce hospital costs? Evidence from English primary care," Journal of Health Economics, Elsevier, vol. 30(5), pages 919-932.
    3. Mark Dusheiko & Hugh Gravelle & Stephen Martin & Nigel Rice & Peter C Smith, 2011. "Does Better Disease Management in Primary Care Reduce Hospital Costs?," Working Papers 065cherp, Centre for Health Economics, University of York.
    4. Kranker, Keith, 2016. "Effects of Medicaid disease management programs on medical expenditures: Evidence from a natural experiment in Georgia," Journal of Health Economics, Elsevier, vol. 46(C), pages 52-69.
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Lyle Nelson, 2012. "Lessons from Medicare's Demonstration Projects on Disease Management and Care Coordination: Working Paper 2012-01," Working Papers 42924, Congressional Budget Office.
    7. Randall D. Cebul & James B. Rebitzer & Lowell J. Taylor & Mark E. Votruba, 2008. "Organizational Fragmentation and Care Quality in the U.S. Healthcare System," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 93-113, Fall.
    8. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    9. Anthony Scott & Stefanie Schurer & Paul H. Jensen & Peter Sivey, 2009. "The effects of an incentive program on quality of care in diabetes management," Health Economics, John Wiley & Sons, Ltd., vol. 18(9), pages 1091-1108, September.
    10. repec:mpr:mprres:7574 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ugolini, Cristina & Lippi Bruni, Matteo & Leucci, Anna Caterina & Fiorentini, Gianluca & Berti, Elena & Nobilio, Lucia & Moro, Maria Luisa, 2019. "Disease management in diabetes care: When involving GPs improves patient compliance and health outcomes," Health Policy, Elsevier, vol. 123(10), pages 955-962.
    2. Clémence Bussière & Nicolas Sirven & Thomas Rapp & Christine Sevilla‐Dedieu, 2020. "Adherence to medical follow‐up recommendations reduces hospital admissions: Evidence from diabetic patients in France," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 508-522, April.
    3. Luke Connelly & Gianluca Fiorentini & Marica Iommi, 2022. "Supply-side solutions targeting demand-side characteristics: causal effects of a chronic disease management program on adherence and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1203-1220, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iezzi, Elisa & Lippi Bruni, Matteo & Ugolini, Cristina, 2014. "The role of GP's compensation schemes in diabetes care: Evidence from panel data," Journal of Health Economics, Elsevier, vol. 34(C), pages 104-120.
    2. Fiorentini, Gianluca & Lippi Bruni, Matteo & Ugolini, Cristina, 2013. "GPs and hospital expenditures. Should we keep expenditure containment programs alive?," Social Science & Medicine, Elsevier, vol. 82(C), pages 10-20.
    3. Jasmin Kantarevic & Boris Kralj, 2013. "Link Between Pay For Performance Incentives And Physician Payment Mechanisms: Evidence From The Diabetes Management Incentive In Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1417-1439, December.
    4. Islam, M. Kamrul & Kjerstad, Egil, 2017. "Is incentivizing by subsidizing a better way of managing chronic health conditions?," Working Papers in Economics 12/17, University of Bergen, Department of Economics.
    5. Clémence Bussière & Nicolas Sirven & Thomas Rapp & Christine Sevilla‐Dedieu, 2020. "Adherence to medical follow‐up recommendations reduces hospital admissions: Evidence from diabetic patients in France," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 508-522, April.
    6. Tamara Bischof & Boris Kaiser, 2021. "Who cares when you close down? The effects of primary care practice closures on patients," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2004-2025, September.
    7. David, Guy & Smith-McLallen, Aaron & Ukert, Benjamin, 2019. "The effect of predictive analytics-driven interventions on healthcare utilization," Journal of Health Economics, Elsevier, vol. 64(C), pages 68-79.
    8. Kongstad, L.P. & Mellace, G. & Olsen, K.R., 2016. "Can the use of Electronic Health Records in General Practice reduce hospitalizations for diabetes patients? Evidence from a natural experiment," Health, Econometrics and Data Group (HEDG) Working Papers 16/25, HEDG, c/o Department of Economics, University of York.
    9. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    10. Pablo Lavado & Gonzalo Rivera, 2016. "Identifying Treatment Effects with Data Combination and Unobserved Heterogeneity," Working Papers 79, Peruvian Economic Association.
    11. Del Prete, Davide & Ghins, Léopold & Magrini, Emiliano & Pauw, Karl, 2019. "Land consolidation, specialization and household diets: Evidence from Rwanda," Food Policy, Elsevier, vol. 83(C), pages 139-149.
    12. Frimmel, Wolfgang & Schmidpeter, Bernhard & Wiesinger, Rene & Winter-Ebmer, Rudolf, 2023. "External Pay Transparency and the Gender Wage Gap," IZA Discussion Papers 16233, Institute of Labor Economics (IZA).
    13. Müller, Tobias & Schmid, Christian & Gerfin, Michael, 2023. "Rents for Pills: Financial incentives and physician behavior," Journal of Health Economics, Elsevier, vol. 87(C).
    14. Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021. "Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
    15. Jeung-Hee Kim & Weon-Young Lee & Song Soo Lim & Young Taek Kim & Yeon-Pyo Hong, 2020. "Gender Differences in the Relationship between Type 2 Diabetes Mellitus and Employment: Evidence from the Korea Health Panel Study," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    16. Myriã Tatiany Neves Bast & Sergio Naruhiko Sakurai, 2016. "Uma Avaliação Empírica Dos Efeitos Dos Empréstimos Do Bndes Aos Governos Municipais Brasileiros," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 064, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Felicitas Schikora, 2019. "The Effect of Initial Placement Restrictions on Refugees' Language Acquisition in Germany," SOEPpapers on Multidisciplinary Panel Data Research 1035, DIW Berlin, The German Socio-Economic Panel (SOEP).
    18. Pablo Lavado & Gonzalo Rivera, 2015. "Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity," Working Papers 15-14, Centro de Investigación, Universidad del Pacífico.
    19. Randall D. Cebul & James B. Rebitzer & Lowell J. Taylor & Mark E. Votruba, 2008. "Organizational Fragmentation and Care Quality in the U.S. Healthcare System," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 93-113, Fall.
    20. Georg von Graevenitz, 2013. "Trade mark cluttering--evidence from EU enlargement," Oxford Economic Papers, Oxford University Press, vol. 65(3), pages 721-745, July.

    More about this item

    Statistics

    Access and download statistics

    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:wly:hlthec:v:28:y:2019:i:2:p:189-203. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.