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Façonner la prescription, influencer les médecins

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  • Greffion, Jérôme
  • Breda, Thomas

Abstract

Pour limiter la régulation de son activité par les pouvoirs publics, l’industrie pharmaceutique laisse dans l’ombre, autant que possible, l’ampleur de son effort de promotion. Pourtant, nous montrons que la promotion des médicaments est un de ses cœurs de métier. Les dépenses en la matière sont considérables. Elles représentent au moins 20 % du chiffre d’affaires du secteur et le dispositif de visite médicale sollicite jusqu’à 40 % des effectifs totaux des grandes entreprises pharmaceutiques, devenues des géants du marketing. Mais comment concilier ce constat avec les déclarations des médecins, nombreux à réfuter l’influence de la promotion sur leurs pratiques, et les résultats des études économétriques, soulignant le faible effet de la visite médicale ? Les grandes entreprises pharmaceutiques façonnent-elles la demande sur leurs marchés, sur le modèle de la filière inversée, ou souffrent-elles d’un problème de rationalité en investissant massivement dans une activité peu rentable ? En alternative aux études microéconomiques dont nous discutons les résultats à l’aune de notre enquête ethnographique, nous proposons une approche macroéconomique pour aborder la question. Les résultats obtenus plaident pour un lien fort entre intensité du travail des visiteurs médicaux et prescriptions des médecins, qui prend la forme d’une incitation à prescrire les médicaments plus chers, plus récents.

Suggested Citation

  • Greffion, Jérôme & Breda, Thomas, 2015. "Façonner la prescription, influencer les médecins," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 17.
  • Handle: RePEc:rvr:journl:2015:11272
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    References listed on IDEAS

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    1. Sridhar Narayanan & Puneet Manchanda, 2009. "Heterogeneous Learning and the Targeting of Marketing Communication for New Products," Marketing Science, INFORMS, vol. 28(3), pages 424-441, 05-06.
    2. Venkataraman, S. & Stremersch, S., 2007. "The Debate on Influencing Doctors’ Decisions: Are Drug Characteristics the Missing Link?," ERIM Report Series Research in Management ERS-2007-056-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    4. Ramkumar Janakiraman & Shantanu Dutta & Catarina Sismeiro & Philip Stern, 2008. "Physicians' Persistence and Its Implications for Their Response to Promotion of Prescription Drugs," Management Science, INFORMS, vol. 54(6), pages 1080-1093, June.
    5. Matthieu Montalban & Mustafa Erdem Sakinç, 2013. "Financialization and productive models in the pharmaceutical industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 22(4), pages 981-1030, August.
    6. 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.
    7. Matthieu Montalban & Mustafa Erdem Sakinç, 2013. "Financialization and productive models in the pharmaceutical industry," Industrial and Corporate Change, Oxford University Press, vol. 22(4), pages 981-1030, August.
    8. John Baffes, 1997. "Explaining stationary variables with non-stationary regressors," Applied Economics Letters, Taylor & Francis Journals, vol. 4(1), pages 69-75.
    9. Sriram Venkataraman & Stefan Stremersch, 2007. "The Debate on Influencing Doctors' Decisions: Are Drug Characteristics the Missing Link?," Management Science, INFORMS, vol. 53(11), pages 1688-1701, November.
    10. Stephane Jacobzone, 2000. "Pharmaceutical Policies in OECD Countries: Reconciling Social and Industrial Goals," OECD Labour Market and Social Policy Occasional Papers 40, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    industrie pharmaceutique; promotion; visiteurs médicaux; dépenses; efficacité; médecins; pharmaceutical industry; promotion; drug representatives; expenses; effectiveness; physicians; industria farmacéutica; promoción; visitadores médicos; gastos; eficacia; médicos;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

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