IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v43y2009i7p787-796.html
   My bibliography  Save this article

The influence of managed care on generic prescribing rates: an analysis of HMO physicians

Author

Listed:
  • Jennifer Rice

Abstract

Retail expenditures on prescription drugs continue to grow annually by double digits, while the share of prescriptions dispensed as generics remains relatively constant. Efforts to curtail rising drug expenditures have been exhibited by Managed Care Organizations (MCOs), yet drug expenditures continue to rise. Using the National Ambulatory Medical Care Survey (NAMCS) for 1997-2000, this study examines how managed care, specifically Health Maintenance Organizations (HMOs), influence the physician's decision to prescribe the generic version of a multi-source drug. The findings show that HMO physicians are not significantly more likely to prescribe generic drugs than non-HMO physicians. Among HMO physicians, different cost reduction tools effect generic prescribing behaviour in different ways, with, the size of the effect depending on the patient and physician relationship with the HMO.

Suggested Citation

  • Jennifer Rice, 2009. "The influence of managed care on generic prescribing rates: an analysis of HMO physicians," Applied Economics, Taylor & Francis Journals, vol. 43(7), pages 787-796.
    • Handle: RePEc:taf:applec:v:43:y:2009:i:7:p:787-796
    DOI: 10.1080/00036840802600061
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840802600061
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036840802600061?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ernst R. Berndt, 2002. "Pharmaceuticals in U.S. Health Care: Determinants of Quantity and Price," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 45-66, Fall.
    2. Judith K. Hellerstein, 1998. "The Importance of the Physician in the Generic Versus Trade-Name Prescription Decision," RAND Journal of Economics, The RAND Corporation, vol. 29(1), pages 108-136, Spring.
    3. Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
    4. Sara Ellison Fisher & Iain Cockburn & Zvi Griliches & Jerry Hausman, 1997. "Characteristics of Demand for Pharmaceutical Products: An Examination of Four Cephalosporins," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 426-446, Autumn.
    5. Stern, S. & Trajtenberg, M., 1998. "Empirical Implications of Physician Authority in Pharmaceutical Decisionmaking," Papers 24-98, Tel Aviv.
    6. Hurwitz, Mark A & Caves, Richard E, 1988. "Persuasion or Information? Promotion and the Shares of Brand Name and Generic Pharmaceuticals," Journal of Law and Economics, University of Chicago Press, vol. 31(2), pages 299-320, October.
    7. Kloek, T, 1981. "OLS Estimation in a Model Where a Microvariable Is Explained by Aggregates and Contemporaneous Disturbances Are Equicorrelated," Econometrica, Econometric Society, vol. 49(1), pages 205-207, January.
    8. Pepper, John V., 2002. "Robust inferences from random clustered samples: an application using data from the panel study of income dynamics," Economics Letters, Elsevier, vol. 75(3), pages 341-345, May.
    9. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    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. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 106, University of California, Davis, Department of Economics.
    2. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    3. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 318, University of California, Davis, Department of Economics.
    4. Rok Spruk, 2019. "The rise and fall of Argentina," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-40, December.
    5. Rok Spruk & Mitja Kovac, 2018. "Inefficient Growth," Review of Economics and Institutions, Università di Perugia, vol. 9(2).
    6. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    7. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    8. Jacqueline Agesa & Richard U. Agesa, 2012. "Imports, unionization and racial wage discrimination in the US," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 339-350, January.
    9. Vikström, Johan, 2009. "Cluster sample inference using sensitivity analysis: the case with few groups," Working Paper Series 2009:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. Pierre Azoulay, 2002. "Do Pharmaceutical Sales Respond to Scientific Evidence?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(4), pages 551-594, December.
    11. Mitja Kovac & Salvini Datta & Rok Spruk, 2021. "Pharmaceutical Product Liability, Litigation Regimes, and the Propensity to Patent: An Empirical Firm-Level Investigation," SAGE Open, , vol. 11(2), pages 21582440211, April.
    12. Miroslav Verbič & Rok Spruk, 2019. "Political economy of pension reforms: an empirical investigation," European Journal of Law and Economics, Springer, vol. 47(2), pages 171-232, April.
    13. Königbauer, Ingrid, 2006. "Dealing with Rising Health Care Costs: The Case of Pharmaceuticals," Munich Dissertations in Economics 5640, University of Munich, Department of Economics.
    14. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    15. Wasmer, Etienne, 2006. "The Economics of Prozac (Do Employees Really Gain from Strong Employment Protection?)," CEPR Discussion Papers 5991, C.E.P.R. Discussion Papers.
    16. Liu, Ya-Ming & Yang, Yea-Huei Kao & Hsieh, Chee-Ruey, 2012. "Regulation and competition in the Taiwanese pharmaceutical market under national health insurance," Journal of Health Economics, Elsevier, vol. 31(3), pages 471-483.
    17. Regan, Tracy L., 2008. "Generic entry, price competition, and market segmentation in the prescription drug market," International Journal of Industrial Organization, Elsevier, vol. 26(4), pages 930-948, July.
    18. Heisig, Jan Paul & Schaeffer, Merlin & Giesecke, Johannes, 2017. "The Costs of Simplicity: Why Multilevel Models May Benefit from Accounting for Cross-Cluster Differences in the Effects of Controls," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82(4), pages 796-827.
    19. Marisa E. Domino, 2012. "Does managed care affect the diffusion of psychotropic medications?," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 428-443, April.
    20. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.

    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:taf:applec:v:43:y:2009:i:7:p:787-796. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.