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The Relationship Between DTCA, Drug Requests, and Prescriptions: Uncovering Variation in Specialty and Space

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  • Stefan Stremersch

    (Erasmus School of Economics, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands; and IESE Business School, Universidad de Navarra, 08034 Barcelona, Spain)

  • Vardit Landsman

    (Leon Recanati Graduate School of Business, Tel Aviv University, 69978 Tel Aviv, Israel; and Erasmus School of Economics, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands)

  • Sriram Venkataraman

    (Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

Abstract

Patients increasingly request their physicians to prescribe specific brands of pharmaceutical drugs. A popular belief is that requests are triggered by direct-to-consumer advertising (DTCA). We examine the relationship between DTCA, patient requests, and prescriptions for statins. We find that although the effect of requests on prescriptions is significantly positive, the mean effect of DTCA on patient requests is negative, yet very small. More interestingly, both effects show substantial heterogeneity across physicians, which we uncover using a hierarchical Bayes estimation procedure. We find that specialists receive more requests than primary care physicians but translate them less into prescriptions. In addition, we find that the sociodemographic profile of the area a physician practices in moderates the effects of DTCA on requests and of requests on prescriptions. For instance, physicians from areas with a higher proportion of minorities (i.e., blacks and Hispanics) receive more requests that are less triggered by DTCA and are accomodated less frequently than physicians from areas with a lower proportion of minorities. Our results challenge managers to revisit the role of DTCA in stimulating patient requests. At the same time, they may trigger public policy concerns regarding physicians' accommodation of patient requests and the inequalities they may induce.

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  • 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.
  • Handle: RePEc:inm:ormksc:v:32:y:2013:i:1:p:89-110
    DOI: 10.1287/mksc.1120.0757
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    3. Ching, Andrew T. & Hermosilla, Manuel & Liu, Qiang, 2019. "Structural Models of the Prescription Drug Market," Foundations and Trends(R) in Marketing, now publishers, vol. 13(1), pages 1-1–76, December.
    4. Prigge, Jana-Kristin & Dietz, Beatrix & Homburg, Christian & Hoyer, Wayne D. & Burton, Jennifer L., 2015. "Patient empowerment: A cross-disease exploration of antecedents and consequences," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 375-386.
    5. Suppliet, Moritz, 2020. "Umbrella branding in pharmaceutical markets," Journal of Health Economics, Elsevier, vol. 73(C).
    6. Sood, Ashish & Kappe, Eelco & Stremersch, Stefan, 2014. "The commercial contribution of clinical studies for pharmaceutical drugs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 65-77.
    7. Andrew T. Ching & Robert Clark & Ignatius Horstmann & Hyunwoo Lim, 2016. "The Effects of Publicity on Demand: The Case of Anti-Cholesterol Drugs," Marketing Science, INFORMS, vol. 35(1), pages 158-181, January.
    8. Stefan Stremersch & Jorge Gonzalez & Albert Valenti & Julian Villanueva, 2023. "The value of context-specific studies for marketing," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 50-65, January.
    9. Lee, Chung-Ying, 2020. "Pricing strategy and moral hazard: Copay coupons in pharmaceuticals," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    10. Holtrop, Niels & Wieringa, Jakob & Gijsenberg, Maarten & Stern, P., 2016. "Competitive reactions to personal selling," Research Report 16004-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Qiang Liu & Sachin Gupta & Sriram Venkataraman & Hongju Liu, 2016. "An Empirical Model of Drug Detailing: Dynamic Competition and Policy Implications," Management Science, INFORMS, vol. 62(8), pages 2321-2340, August.
    12. Hongju Liu & Qiang Liu & Pradeep K. Chintagunta, 2017. "Promotion Spillovers: Drug Detailing in Combination Therapy," Marketing Science, INFORMS, vol. 36(3), pages 382-401, May.
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