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Therapeutic non adherence: a rational behavior revealing patient preferences ?

Author

Listed:
  • Karine Lamiraud

    (IEMS - Institut d'économie et de management de la santé - Institut d'économie et de management de la santé)

  • Pierre-Yves Geoffard

    (IEMS - Institut d'économie et de management de la santé - Institut d'économie et de management de la santé, PJSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, CEPR - Center for Economic Policy Research)

Abstract

This paper offers an indirect measure of patient welfare based on whether patients comply with the prescription they receive. Adherence behavior is supposed to reveal patients' subjective valuations of particular therapies. We write a simple theoretical model of patient adherence behavior, that reflects the trade-off between perceived costs and observed regimen efficacy. A discrete choice framework is then used for the estimation, ie the comparison of the incremental benefit of drug intake between two regimens. Consequently, the empirical analysis is based on the identification of patient and drug characteristics associated with adherence. The econometric approach is implemented through a bivariate panel two-equation simultaneous system studying jointly the factors associated with adherence and response to treatment. The data come from a randomized clinical trial conducted in France between 1999 and 2001 and comparing the efficacy of 2 tritherapy strategies in HIV disease. Both the theoretical and empirical results suggest that, for comparable clinical efficacy and toxicity levels, a higher adherence level is associated with higher patient welfare, thus adding valuable information to conclusions drawn by a mere biostatistical analysis. Therefore, from the perspective of the patient, the adherence-enhancing drug must be favored. Our results based on panel data also stress that unobserved patient characteristics account substantially for drug valuation and that the assessment evolves during the course of the treatment. Furthermore, we provide a new framework for the analysis of adherence data. The microeconometric framework highlights that non adherence is an endogenous behavior, thus suggesting new ways for improving adherence.

Suggested Citation

  • Karine Lamiraud & Pierre-Yves Geoffard, 2006. "Therapeutic non adherence: a rational behavior revealing patient preferences ?," PSE Working Papers halshs-00589121, HAL.
  • Handle: RePEc:hal:psewpa:halshs-00589121
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00589121
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    2. Gajdos, Thibault & Garrouste, Clémentine & Geoffard, Pierre-Yves, 2016. "The subjective value of a life with Down syndrome: Evidence from amniocentesis decision," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 59-69.
    3. Sergei Koulayev & Emilia Simeonova & Niels Skipper, 2017. "Can Physicians Affect Patient Adherence With Medication?," Health Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 779-794, June.
    4. Mealem, Yosef & Siniver, Erez & Yaniv, Gideon, 2012. "Patient compliance, physician empathy and financial incentives within a principal-agent framework," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(6), pages 827-830.
    5. Klaus Mann & Michael Möcker & Joachim Grosser, 2019. "Adherence to long-term prophylactic treatment: microeconomic analysis of patients’ behavior and the impact of financial incentives," Health Economics Review, Springer, vol. 9(1), pages 1-10, December.
    6. Stéphane Lhuillery, 2009. "In search of lost disincentive effect from intra-industry spillovers," CEMI Working Papers cemi-workingpaper-2009-00, Ecole Polytechnique Fédérale de Lausanne, Collège du Management de la Technologie, Management of Technology and Entrepreneurship Institute, Chaire en Economie et Management de l'Innovation.

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