IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v39y2019i8p975-985.html
   My bibliography  Save this article

The Effect of Including Quantitative Information on Multiple Endpoints in Direct-to-Consumer Prescription Drug Television Advertisements

Author

Listed:
  • Helen W. Sullivan

    (US Food and Drug Administration, Silver Spring, MD, USA)

  • Amie C. O’Donoghue

    (US Food and Drug Administration, Silver Spring, MD, USA)

  • Molly Lynch

    (RTI International, Research Triangle Park, NC, USA)

  • Mihaela Johnson

    (RTI International, Research Triangle Park, NC, USA)

  • Christine Davis

    (RTI International, Research Triangle Park, NC, USA)

  • Douglas J. Rupert

    (RTI International, Research Triangle Park, NC, USA)

Abstract

Background. Previous research found that adding a single piece of quantitative information about prescription drug benefits to direct-to-consumer (DTC) ads helps consumers understand how well the drug works. However, drug information often includes quantitative information on multiple benefit outcomes and risks. Thus, we examined whether consumer understanding was similarly improved when DTC television ads include varying amounts of quantitative information. Methods. We randomly assigned participants (945 Internet panelists ≥ 60 years old) to view 1 of 9 fictitious prescription drug television ads that varied the presentation of quantitative information for benefits (none, single outcome, 2 outcomes) and risks (none, 1 risk category, 3 risk categories) and then measured gist and verbatim recall/estimation and drug perceptions. Results. Adding a single benefit outcome and a single risk category replicated past results. Compared with an ad containing no quantitative information, presenting 2 benefit outcomes and multiple risk categories increased gist and verbatim recall and affected drug perceptions. Compared with presenting a single benefit outcome, presenting 2 benefit outcomes increased verbatim recall for the second outcome but decreased verbatim recall for the first outcome. Likewise, compared with presenting a single risk category, presenting multiple risk categories increased gist and verbatim recall for the multiple risk categories but decreased gist recall for a concept more closely associated with the single risk category. Adding multiple risk categories decreased risk perceptions even more than did the single risk category. Limitations. This study may have limited generalizability because it examined an ad for only 1 medical condition. Conclusions. There are tradeoffs to adding multiple quantitative benefit outcomes in DTC ads. However, presenting multiple quantitative risk categories helps consumers better understand a drug’s risks.

Suggested Citation

  • Helen W. Sullivan & Amie C. O’Donoghue & Molly Lynch & Mihaela Johnson & Christine Davis & Douglas J. Rupert, 2019. "The Effect of Including Quantitative Information on Multiple Endpoints in Direct-to-Consumer Prescription Drug Television Advertisements," Medical Decision Making, , vol. 39(8), pages 975-985, November.
  • Handle: RePEc:sae:medema:v:39:y:2019:i:8:p:975-985
    DOI: 10.1177/0272989X19875946
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X19875946
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X19875946?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. Anonymous, 2017. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 13(2), pages 219-220, June.
    2. Rachel Kornfield & Julie Donohue & Ernst R Berndt & G Caleb Alexander, 2013. "Promotion of Prescription Drugs to Consumers and Providers, 2001–2010," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-7, March.
    3. Anonymous, 2017. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 13(4), pages 693-693, December.
    4. Frosch, D.L. & Grande, D. & Tarn, D.M. & Kravitz, R.L., 2010. "A decade of controversy: Balancing policy with evidence in the regulation of prescription Drug advertising," American Journal of Public Health, American Public Health Association, vol. 100(1), pages 24-32.
    5. Anonymous, 2017. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 13(1), pages 1-3, March.
    6. Avery, Rosemary J. & Eisenberg, Matthew D. & Simon, Kosali I., 2012. "The impact of direct-to-consumer television and magazine advertising on antidepressant use," Journal of Health Economics, Elsevier, vol. 31(5), pages 705-718.
    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. David J. G. Slusky & Donna K. Ginther, 2021. "Did Medicaid expansion reduce medical divorce?," Review of Economics of the Household, Springer, vol. 19(4), pages 1139-1174, December.
    2. Vlas, Cristina O. & Richard, Orlando C. & Andrevski, Goce & Konrad, Alison M. & Yang, Yang, 2022. "Dynamic capabilities for managing racially diverse workforces: Effects on competitive action variety and firm performance," Journal of Business Research, Elsevier, vol. 141(C), pages 600-618.
    3. W. Nathan Green, 2020. "Regulating Over‐indebtedness: Local State Power in Cambodia's Microfinance Market," Development and Change, International Institute of Social Studies, vol. 51(6), pages 1429-1453, November.
    4. Katharina E. Blankart & Frank R. Lichtenberg, 2020. "Are patients more adherent to newer drugs?," Health Care Management Science, Springer, vol. 23(4), pages 605-618, December.
    5. Katolik, Aleksandra & Oswald, Andrew J., 2017. "Antidepressants for Economists and Business-School Researchers: An Introduction and Review," CAGE Online Working Paper Series 338, Competitive Advantage in the Global Economy (CAGE).
    6. Katolik, Aleksandra & Oswald, Andrew J., 2017. "Antidepressants for Economists and Business-School Researchers: An Introduction and Review," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 71(4), pages 448-463.
    7. Alpert, Abby & Lakdawalla, Darius & Sood, Neeraj, 2023. "Prescription drug advertising and drug utilization: The role of Medicare Part D," Journal of Public Economics, Elsevier, vol. 221(C).
    8. Suppliet, Moritz, 2020. "Umbrella branding in pharmaceutical markets," Journal of Health Economics, Elsevier, vol. 73(C).
    9. Giuliano Masiero & Fabrizio Mazzonna & Olaf Verbeek, 2018. "What drives the rise of antidepressant consumption? Evidence from Switzerland," IdEP Economic Papers 1801, USI Università della Svizzera italiana.
    10. Frosch, Dominick L. & May, Suepattra G. & Tietbohl, Caroline & Pagán, José A., 2011. "Living in the “land of no”? Consumer perceptions of healthy lifestyle portrayals in direct-to-consumer advertisements of prescription drugs," Social Science & Medicine, Elsevier, vol. 73(7), pages 995-1002.
    11. Gleeson, Deborah & Lopert, Ruth & Reid, Papaarangi, 2013. "How the Trans Pacific Partnership Agreement could undermine PHARMAC and threaten access to affordable medicines and health equity in New Zealand," Health Policy, Elsevier, vol. 112(3), pages 227-233.
    12. Donald Kenkel & Alan Mathios & Hua Wang, 2018. "Advertising and Health: A Case Study of Menthol Cigarette Advertising and Cigarette Demand," American Journal of Health Economics, University of Chicago Press, vol. 4(3), pages 263-286, Summer.
    13. Lenisa V. Chang, 2018. "Information, education, and health behaviors: Evidence from the MMR vaccine autism controversy," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1043-1062, July.
    14. Donald Kenkel & Alan Mathios & Hua Wang, 2015. "Menthol Cigarette Advertising and Cigarette Demand," NBER Working Papers 21790, National Bureau of Economic Research, Inc.
    15. Terris-Prestholt, Fern & Windmeijer, Frank, 2016. "How to sell a condom? The impact of demand creation tools on male and female condom sales in resource limited settings," Journal of Health Economics, Elsevier, vol. 48(C), pages 107-120.
    16. Robert Nathenson & Michael R. Richards, 2018. "Do coverage mandates affect direct-to-consumer advertising for pharmaceuticals? Evidence from parity laws," International Journal of Health Economics and Management, Springer, vol. 18(3), pages 321-336, September.
    17. Dave, Dhaval & Dench, Daniel & Grossman, Michael & Kenkel, Donald S. & Saffer, Henry, 2019. "Does e-cigarette advertising encourage adult smokers to quit?," Journal of Health Economics, Elsevier, vol. 68(C).
    18. Matthew Chesnes & Ginger Zhe Jin, 2016. "Direct-to-Consumer Advertising and Online Search," NBER Working Papers 22582, National Bureau of Economic Research, Inc.
    19. Chesnes, Matthew & Jin, Ginger Zhe, 2019. "Direct-to-consumer advertising and online search," Information Economics and Policy, Elsevier, vol. 46(C), pages 1-22.
    20. Lee, Chung-Ying, 2020. "Pricing strategy and moral hazard: Copay coupons in pharmaceuticals," International Journal of Industrial Organization, Elsevier, vol. 70(C).

    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:sae:medema:v:39:y:2019:i:8:p:975-985. 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: SAGE Publications (email available below). General contact details of provider: .

    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.