IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v172y2017icp153-162.html
   My bibliography  Save this article

Gifts and influence: Conflict of interest policies and prescribing of psychotropic medications in the United States

Author

Listed:
  • King, Marissa
  • Bearman, Peter S.

Abstract

The pharmaceutical industry spends roughly 15 billion dollars annually on detailing – providing gifts, information, samples, trips, honoraria and other inducements – to physicians in order to encourage them to prescribe their drugs. In response, several states in the United States adopted policies that restrict detailing. Some states banned gifts from pharmaceutical companies to doctors, other states simply required physicians to disclose the gifts they receive, while most states allowed unrestricted detailing. We exploit this geographic variation to examine the relationship between gift regulation and the diffusion of four newly marketed medications. Using a dataset that captures 189 million psychotropic prescriptions written between 2005 and 2009, we find that uptake of new costly medications was significantly lower in states with marketing regulation than in areas that allowed unrestricted pharmaceutical marketing. In states with gift bans, we observed reductions in market shares ranging from 39% to 83%. Policies banning or restricting gifts were associated with the largest reductions in uptake. Disclosure policies were associated with a significantly smaller reduction in prescribing than gift bans and gift restrictions. In states that ban gift-giving, peer influence substituted for pharmaceutical detailing when a relatively beneficial drug came to market and provided a less biased channel for physicians to learn about new medications. Our work suggests that policies banning or limiting gifts from pharmaceutical representatives to doctors are likely to be more effective than disclosure policies alone.

Suggested Citation

  • King, Marissa & Bearman, Peter S., 2017. "Gifts and influence: Conflict of interest policies and prescribing of psychotropic medications in the United States," Social Science & Medicine, Elsevier, vol. 172(C), pages 153-162.
  • Handle: RePEc:eee:socmed:v:172:y:2017:i:c:p:153-162
    DOI: 10.1016/j.socscimed.2016.11.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953616306190
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2016.11.010?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. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    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. Ansari, Bahareh, 2021. "Industry payments and physicians prescriptions: Effect of a payment restriction policy," Social Science & Medicine, Elsevier, vol. 278(C).
    2. Kandul, Serhiy & Lanz, Bruno & Reins, Evert, 2023. "Reciprocity and gift exchange in markets for credence goods," Games and Economic Behavior, Elsevier, vol. 141(C), pages 52-69.
    3. Besancenot, Damien & Vranceanu, Radu, 2020. "Profession and deception: Experimental evidence on lying behavior among business and medical students," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 175-187.
    4. Melissa Newham & Marica Valente, 2022. "The Cost of Influence: How Gifts to Physicians Shape Prescriptions and Drug Costs," Papers 2203.01778, arXiv.org, revised Apr 2023.

    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. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    2. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
    3. Meyners, Jannik & Barrot, Christian & Becker, Jan U. & Bodapati, Anand V., 2017. "Reward-scrounging in customer referral programs," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 382-398.
    4. Hao Zhang & Jie He & Xiaomeng Shi & Qiong Hong & Jie Bao & Shuqi Xue, 2020. "Technology Characteristics, Stakeholder Pressure, Social Influence, and Green Innovation: Empirical Evidence from Chinese Express Companies," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    5. Stefan Stremersch & Vardit Landsman & Sriram Venkataraman, 2013. "The Relationship Between DTCA, Drug Requests, and Prescriptions: Uncovering Variation in Specialty and Space," Marketing Science, INFORMS, vol. 32(1), pages 89-110, June.
    6. Sridhar Narayanan & Harikesh S. Nair, 2011. "Estimating Causal Installed-Base Effects: A Bias-Correction Approach," Working Papers 11-22, NET Institute.
    7. Yuichiro Kamada & Aniko Öry, 2020. "Contracting with Word-of-Mouth Management," Management Science, INFORMS, vol. 66(11), pages 5094-5107, November.
    8. Arun Sundararajan & Foster Provost & Gal Oestreicher-Singer & Sinan Aral, 2013. "Research Commentary ---Information in Digital, Economic, and Social Networks," Information Systems Research, INFORMS, vol. 24(4), pages 883-905, December.
    9. Dmitri Kuksov & Yuanfang Lin, 2010. "Information Provision in a Vertically Differentiated Competitive Marketplace," Marketing Science, INFORMS, vol. 29(1), pages 122-138, 01-02.
    10. Michael Haenlein, 2011. "A social network analysis of customer-level revenue distribution," Marketing Letters, Springer, vol. 22(1), pages 15-29, March.
    11. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
    12. Hee Mok Park & Puneet Manchanda, 2015. "When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior," Marketing Science, INFORMS, vol. 34(2), pages 179-194, March.
    13. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
    14. Kosuke Uetake & Nathan Yang, 2020. "Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program," Marketing Science, INFORMS, vol. 39(3), pages 487-499, May.
    15. Grant Miller & A. Mushfiq Mobarak, 2015. "Learning About New Technologies Through Social Networks: Experimental Evidence on Nontraditional Stoves in Bangladesh," Marketing Science, INFORMS, vol. 34(4), pages 480-499, July.
    16. Eggers, Fabian & Risselada, Hans & Niemand, Thomas & Robledo, Sebastian, 2022. "Referral campaigns for software startups: The impact of network characteristics on product adoption," Journal of Business Research, Elsevier, vol. 145(C), pages 309-324.
    17. Lacetera, Nicola & Macis, Mario & Mele, Angelo, 2014. "Viral Altruism? Generosity and Social Contagion in Online Networks," IZA Discussion Papers 8171, Institute of Labor Economics (IZA).
    18. Zhang, Yumeng & Leischnig, Alexander & Heirati, Nima & Henneberg, Stephan C., 2021. "Dark-side-effect contagion in business relationships," Journal of Business Research, Elsevier, vol. 130(C), pages 260-270.
    19. Julie M Donohue & Hasan Guclu & Walid F Gellad & Chung-Chou H Chang & Haiden A Huskamp & Niteesh K Choudhry & Ruoxin Zhang & Wei-Hsuan Lo-Ciganic & Stefanie P Junker & Timothy Anderson & Seth Richards, 2018. "Influence of peer networks on physician adoption of new drugs," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-18, October.
    20. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.

    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:eee:socmed:v:172:y:2017:i:c:p:153-162. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.