IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v32y2013i3p522-527.html
   My bibliography  Save this article

Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability

Author

Listed:
  • Ram Bala

    (Leavey School of Business, Santa Clara University, Santa Clara, California 95053)

  • Pradeep Bhardwaj

    (College of Business Administration, University of Central Florida, Orlando, Florida 32816)

  • Yuxin Chen

    (Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

Physicians may learn about prescription drug effectiveness directly from the firm via detailing or from patient experience. Patient-mediated learning is aided by the use of free drug samples. The effective use of samples is hampered by a lack of understanding of its exact return on investment implications. We seek to fill this gap by incorporating the physician's sample allocation behavior in the firm's decision making. We uncover the following implications for firms as well as policy makers. First, we find that the optimal sampling level for a drug category is a nonmonotonic function of patient payment ability and the price of the drug. Second, an increase in the cost of samples can lead to an increase in sampling and a decrease in detailing when the physician's propensity to provide sample subsidies is high. Third, when future market growth is expected to be high (early stage product life cycle and/or chronic drugs) and sampling efficiency is low, the use of sampling is profitable for the firm but leads to lower market coverage than when sampling is disallowed.

Suggested Citation

  • Ram Bala & Pradeep Bhardwaj & Yuxin Chen, 2013. "Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability," Marketing Science, INFORMS, vol. 32(3), pages 522-527, May.
  • Handle: RePEc:inm:ormksc:v:32:y:2013:i:3:p:522-527
    DOI: 10.1287/mksc.1120.0743
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1120.0743
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.1120.0743?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. Kissan Joseph & Murali Mantrala, 2009. "A model of the role of free drug samples in physicians’ prescription decisions," Marketing Letters, Springer, vol. 20(1), pages 15-29, March.
    2. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
    3. Cutrona, S.L. & Woolhandler, S. & Lasser, K.E. & Bor, D.H. & McCormick, D. & Himmelstein, D.U., 2008. "Characteristics of recipients of free prescription drug samples: A nationally representative analysis," American Journal of Public Health, American Public Health Association, vol. 98(2), pages 284-289.
    4. Natalie Mizik & Robert Jacobson, 2004. "Are Physicians ÜEasy MarksÝ? Quantifying the Effects of Detailing and Sampling on New Prescriptions," Management Science, INFORMS, vol. 50(12), pages 1704-1715, December.
    5. Coscelli, Andrea & Shum, Matthew, 2004. "An empirical model of learning and patient spillovers in new drug entry," Journal of Econometrics, Elsevier, vol. 122(2), pages 213-246, October.
    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. Sadat Reza & Hillbun Ho & Rich Ling & Hongyan Shi, 2021. "Experience Effect in the Impact of Free Trial Promotions," Management Science, INFORMS, vol. 67(3), pages 1648-1669, March.
    2. Zhou, Cuihua & Hao, Yifei & Lan, Yanfei & Li, Weifeng, 2023. "To introduce or not? Strategic analysis of hospital operations with telemedicine," European Journal of Operational Research, Elsevier, vol. 304(1), pages 292-307.
    3. Ram Bala & Sumit Kunnumkal & Milind G. Sohoni, 2016. "Evergreening and operational risk under price competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(1), pages 71-89, February.
    4. Ram Bala & Pradeep Bhardwaj & Pradeep K. Chintagunta, 2017. "Pharmaceutical Product Recalls: Category Effects and Competitor Response," Marketing Science, INFORMS, vol. 36(6), pages 931-943, November.

    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. Zhu, Z.;, 2023. "The Value of Patients: Heterogenous Physician Learning and Generic Drug Diffusion," Health, Econometrics and Data Group (HEDG) Working Papers 23/12, HEDG, c/o Department of Economics, University of York.
    2. Kissan Joseph & Murali Mantrala, 2009. "A model of the role of free drug samples in physicians’ prescription decisions," Marketing Letters, Springer, vol. 20(1), pages 15-29, March.
    3. 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.
    4. Puneet Manchanda & Dick Wittink & Andrew Ching & Paris Cleanthous & Min Ding & Xiaojing Dong & Peter Leeflang & Sanjog Misra & Natalie Mizik & Sridhar Narayanan & Thomas Steenburgh & Jaap Wieringa & M, 2005. "Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry," Marketing Letters, Springer, vol. 16(3), pages 293-308, December.
    5. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    6. Maynou, L. & McGuire, A. & Serra-Sastre, V., 2019. "Exploring the Impact of New Medical Technology on Workforce Planning," Working Papers 19/07, Department of Economics, City University London.
    7. Hoffman, Mitchell & Burks, Stephen V., 2017. "Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training," IZA Discussion Papers 10794, Institute of Labor Economics (IZA).
    8. Mary K. Olson & Nina Yin, 2021. "New clinical information and physician prescribing: How do pediatric labeling changes affect prescribing to children?," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 144-164, January.
    9. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
    10. Ajay Bhaskarabhatla & Priyatam Anurag & Chirantan Chatterjee & Enrico Pennings, 2021. "How Does Regulation Impact Strategic Repositioning by Firms Across Submarkets? Evidence from the Indian Pharmaceutical Industry," Strategy Science, INFORMS, vol. 6(3), pages 209-227, September.
    11. Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
    12. Luiz Andrade & Catherine Sermet & Sylvain Pichetti, 2016. "Entry time effects and follow-on drug competition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(1), pages 45-60, January.
    13. Balat, Jorge & Papageorge, Nicholas W. & Qayyum, Shaiza, 2017. "Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment," IZA Discussion Papers 10919, Institute of Labor Economics (IZA).
    14. Guofang Huang & Matthew Shum & Wei Tan, 2019. "Is pharmaceutical detailing informative? Evidence from contraindicated drug prescriptions," Quantitative Marketing and Economics (QME), Springer, vol. 17(2), pages 135-160, June.
    15. Matias Busso & Maria P. Gonzalez & Carlos Scartascini, 2022. "On the demand for telemedicine: Evidence from the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1491-1505, July.
    16. Jürgen Maurer & Katherine M. Harris, 2016. "Learning to Trust Flu Shots: Quasi‐Experimental Evidence from the 2009 Swine Flu Pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1148-1162, September.
    17. Pradeep Chintagunta & Renna Jiang & Ginger Jin, 2009. "Information, learning, and drug diffusion: The case of Cox-2 inhibitors," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 399-443, December.
    18. Dalen, Dag Morten & Sorisio, Enrico & Strøm, Steinar, 2009. "Choosing among Competing Blockbusters: Does the Identity of the Third-party Payer Matter for Prescribing Doctors?," Memorandum 10/2009, Oslo University, Department of Economics.
    19. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    20. Zheyin (Jane) Gu & Ying Xie, 2013. "Facilitating Fit Revelation in the Competitive Market," Management Science, INFORMS, vol. 59(5), pages 1196-1212, May.

    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:inm:ormksc:v:32:y:2013:i:3:p:522-527. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.