IDEAS home Printed from https://ideas.repec.org/p/mhe/chemon/2021-07.html
   My bibliography  Save this paper

A hard look at soft cost-control measures in healthcare organizations: Evidence from preferred drug policies in Germany

Author

Listed:
  • Daniel Avdic

    (Monash University)

  • Katharina E. Blankart

    (University of Duisburg-Essen)

Abstract

Cost-control interventions that target physicians’ clinical discretion are common in healthcare, but evidence on their efficacy is scarce; in particular for "soft" policies when liability is unlikely to be enforced by the regulator. We study the effectiveness of preferred drug policies (minimum prescription quotas of specific "preferred" drugs) in altering physicians’ practice styles within the high volume drug class of HMG-CoA-reductase inhibitors (statins) in the German statutory health insurance system. Using a nationally representative panel of ambulatory care physicians between 2011 and 2014, we exploit the decentralized institutional setting to estimate physician responses to variation in preferred drug policies across regional physician associations over time in a generalized difference-in-differences design. Results show that although the cost-control mechanism increases average policy adherence, this effect is mainly driven by physicians with initially high use rates of preferred drugs. We argue that such misdirection may limit the policy’s usefulness in reducing inappropriate practice variation among healthcare providers.

Suggested Citation

  • Daniel Avdic & Katharina E. Blankart, 2021. "A hard look at soft cost-control measures in healthcare organizations: Evidence from preferred drug policies in Germany," Papers 2021-07, Centre for Health Economics, Monash University.
  • Handle: RePEc:mhe:chemon:2021-07
    as

    Download full text from publisher

    File URL: http://monash-ch-econ-wps.s3-ap-southeast-2.amazonaws.com/RePEc/mhe/chemon/2021-07.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Janet M. Currie & W. Bentley MacLeod, 2020. "Understanding Doctor Decision Making: The Case of Depression Treatment," Econometrica, Econometric Society, vol. 88(3), pages 847-878, May.
    2. Tom Stargardt, 2010. "The impact of reference pricing on switching behaviour and healthcare utilisation: the case of statins in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(3), pages 267-277, June.
    3. Laurence C. Baker & Ciaran S. Phibbs, 2002. "Managed Care, Technology Adoption, and Health Care: The Adoption of Neonatal Intensive Care," RAND Journal of Economics, The RAND Corporation, vol. 33(3), pages 524-548, Autumn.
    4. Chandra, Amitabh & Cutler, David & Song, Zirui, 2011. "Who Ordered That? The Economics of Treatment Choices in Medical Care," Handbook of Health Economics, in: Mark V. Pauly & Thomas G. Mcguire & Pedro P. Barros (ed.), Handbook of Health Economics, volume 2, chapter 0, pages 397-432, Elsevier.
    5. Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
    6. Amy Finkelstein & Matthew Gentzkow & Heidi Williams, 2016. "Sources of Geographic Variation in Health Care: Evidence From PatientMigration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1681-1726.
    7. Marcus Dillender, "undated". "Medicaid, What happens when the insurer can say no? Assessing prior authorization as a tool to prevent high-risk prescriptions and to lower costs," Upjohn Working Papers md18, W.E. Upjohn Institute for Employment Research.
    8. Toshiaki Iizuka, 2007. "Experts' agency problems: evidence from the prescription drug market in Japan," RAND Journal of Economics, RAND Corporation, vol. 38(3), pages 844-862, September.
    9. David Molitor, 2018. "The Evolution of Physician Practice Styles: Evidence from Cardiologist Migration," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 326-356, February.
    10. Frank, Richard G. & Zeckhauser, Richard J., 2007. "Custom-made versus ready-to-wear treatments: Behavioral propensities in physicians' choices," Journal of Health Economics, Elsevier, vol. 26(6), pages 1101-1127, December.
    11. Currie, Janet & MacLeod, W. Bentley & Van Parys, Jessica, 2016. "Provider practice style and patient health outcomes: The case of heart attacks," Journal of Health Economics, Elsevier, vol. 47(C), pages 64-80.
    12. Dillender, Marcus, 2018. "What happens when the insurer can say no? Assessing prior authorization as a tool to prevent high-risk prescriptions and to lower costs," Journal of Public Economics, Elsevier, vol. 165(C), pages 170-200.
    13. Berndt, Ernst R. & Gibbons, Robert S. & Kolotilin, Anton & Taub, Anna Levine, 2015. "The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics," Journal of Health Economics, Elsevier, vol. 40(C), pages 26-39.
    14. 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.
    15. Epstein, Andrew J. & Nicholson, Sean, 2009. "The formation and evolution of physician treatment styles: An application to cesarean sections," Journal of Health Economics, Elsevier, vol. 28(6), pages 1126-1140, December.
    16. Propper, Carol & Avdic, Daniel & von Hinke Kessler Scholder, Stephanie & Lagerqvist, Bo & Vikström, Johan, 2019. "Information shocks and provider responsiveness: evidence from interventional cardiology," CEPR Discussion Papers 13627, C.E.P.R. Discussion Papers.
    17. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    18. Thomas C. Buchmueller & Colleen M. Carey & Giacomo Meille, 2020. "How well do doctors know their patients? Evidence from a mandatory access prescription drug monitoring program," Health Economics, John Wiley & Sons, Ltd., vol. 29(9), pages 957-974, September.
    19. Leila Agha & Dan Zeltzer, 2022. "Drug Diffusion through Peer Networks: The Influence of Industry Payments," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 1-33, May.
    20. Katharina E. Blankart & Friederike Arndt, 2020. "Physician-Level Cost Control Measures and Regional Variation of Biosimilar Utilization in Germany," IJERPH, MDPI, vol. 17(11), pages 1-14, June.
    21. Domenico Depalo & Jay Bhattacharya & Vincenzo Atella & Federico Belotti, 2019. "When Technological Advance Meets Physician Learning in Drug Prescribing," NBER Working Papers 26202, National Bureau of Economic Research, Inc.
    22. Ramkumar Janakiraman & Shantanu Dutta & Catarina Sismeiro & Philip Stern, 2008. "Physicians' Persistence and Its Implications for Their Response to Promotion of Prescription Drugs," Management Science, INFORMS, vol. 54(6), pages 1080-1093, June.
    23. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    24. Escarce, JoseJ., 1996. "Externalities in hospitals and physician adoption of a new surgical technology: An exploratory analysis," Journal of Health Economics, Elsevier, vol. 15(6), pages 715-734, December.
    25. David Cutler & Jonathan S. Skinner & Ariel Dora Stern & David Wennberg, 2019. "Physician Beliefs and Patient Preferences: A New Look at Regional Variation in Health Care Spending," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 192-221, February.
    26. Jonathan Skinner & Douglas Staiger, 2015. "Technology Diffusion and Productivity Growth in Health Care," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 951-964, December.
    27. Grytten, Jostein & Sorensen, Rune, 2003. "Practice variation and physician-specific effects," Journal of Health Economics, Elsevier, vol. 22(3), pages 403-418, May.
    28. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    29. Ellis, Randall P. & McGuire, Thomas G., 1986. "Provider behavior under prospective reimbursement : Cost sharing and supply," Journal of Health Economics, Elsevier, vol. 5(2), pages 129-151, June.
    30. Katharina Elisabeth Fischer & Taika Koch & Karel Kostev & Tom Stargardt, 2018. "The impact of physician-level drug budgets on prescribing behavior," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 213-222, March.
    Full references (including those not matched with items on IDEAS)

    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. Avdic, Daniel & Ivets, Maryna & Lagerqvist, Bo & Sriubaite, Ieva, 2023. "Providers, peers and patients. How do physicians’ practice environments affect patient outcomes?," Journal of Health Economics, Elsevier, vol. 89(C).
    2. Attema, Arthur E. & Galizzi, Matteo M. & Groß, Mona & Hennig-Schmidt, Heike & Karay, Yassin & L’Haridon, Olivier & Wiesen, Daniel, 2023. "The formation of physician altruism," Journal of Health Economics, Elsevier, vol. 87(C).
    3. Fadlon, Itzik & Van Parys, Jessica, 2020. "Primary care physician practice styles and patient care: Evidence from physician exits in Medicare," Journal of Health Economics, Elsevier, vol. 71(C).
    4. Peter Rønø Thingholm, 2023. "Provider Spill-Overs in Opioid Prescription Leniency and Patient – Labor Market Outcomes," Economics Working Papers 2023-05, Department of Economics and Business Economics, Aarhus University.
    5. Barrenho, Eliana & Miraldo, Marisa & Propper, Carol & Walsh, Brendan, 2021. "The importance of surgeons and their peers in adoption and diffusion of innovation: An observational study of laparoscopic colectomy adoption and diffusion in England," Social Science & Medicine, Elsevier, vol. 272(C).
    6. Méndez, Susan J. & Scott, Anthony & Zhang, Yuting, 2021. "Gender differences in physician decisions to adopt new prescription drugs," Social Science & Medicine, Elsevier, vol. 277(C).
    7. Geruso, Michael & Richards, Michael R., 2022. "Trading spaces: Medicare's regulatory spillovers on treatment setting for non-Medicare patients," Journal of Health Economics, Elsevier, vol. 84(C).
    8. Ivan Badinski & Amy Finkelstein & Matthew Gentzkow & Peter Hull, 2023. "Geographic Variation in Healthcare Utilization: The Role of Physicians," NBER Working Papers 31749, National Bureau of Economic Research, Inc.
    9. Simonsen, Marianne & Skipper, Lars & Skipper, Niels & Thingholm, Peter Rønø, 2021. "Discontinuity in care: Practice closures among primary care providers and patient health care utilization," Journal of Health Economics, Elsevier, vol. 80(C).
    10. Janet M. Currie & W. Bentley MacLeod, 2018. "Understanding Doctor Decision Making: The Case of Depression," NBER Working Papers 24955, National Bureau of Economic Research, Inc.
    11. Shan Huang & Hannes Ullrich, 2023. "Provider effects in antibiotic prescribing: Evidence from physician exits," Berlin School of Economics Discussion Papers 0018, Berlin School of Economics.
    12. Emilia Simeonova & Niels Skipper & Peter R. Thingholm, 2020. "Physician Health Management Skills and Patient Outcomes," NBER Working Papers 26735, National Bureau of Economic Research, Inc.
    13. Shan Huang & Hannes Ullrich, 2021. "Physician Effects in Antibiotic Prescribing: Evidence from Physician Exits," CESifo Working Paper Series 9204, CESifo.
    14. Newham, Melissa & Valente, Marica, 2024. "The cost of influence: How gifts to physicians shape prescriptions and drug costs," Journal of Health Economics, Elsevier, vol. 95(C).
    15. Avdic, Daniel & von Hinke, Stephanie & Lagerqvist, Bo & Propper, Carol & Vikström, Johan, 2024. "Do responses to news matter? Evidence from interventional cardiology," Journal of Health Economics, Elsevier, vol. 94(C).
    16. Barrenho, E.; & Miraldo, M.; & Propper, C; & Rose, C.;, 2019. "Peer and network effects in medical innovation: the case of laparoscopic surgery in the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 19/10, HEDG, c/o Department of Economics, University of York.
    17. Barili, Emilia & Bertoli, Paola & Grembi, Veronica, 2021. "Neighborhoods, networks, and delivery methods," Journal of Health Economics, Elsevier, vol. 80(C).
    18. Leila Agha & Keith Marzilli Ericson & Xiaoxi Zhao, 2020. "The Impact of Organizational Boundaries on Healthcare Coordination and Utilization," NBER Working Papers 28179, National Bureau of Economic Research, Inc.
    19. Michael L. Barnett & Andrew Olenski & Adam Sacarny, 2023. "Common Practice: Spillovers from Medicare on Private Health Care," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 65-88, August.
    20. Alexander Ahammer & Thomas Schober, 2020. "Exploring variations in health‐care expenditures—What is the role of practice styles?," Health Economics, John Wiley & Sons, Ltd., vol. 29(6), pages 683-699, June.

    More about this item

    Keywords

    cost-control; healthcare; practice style; difference-in-differences;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mhe:chemon:2021-07. 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: Johannes Kunz (email available below). General contact details of provider: https://edirc.repec.org/data/dxmonau.html .

    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.