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The Impact of Genetic Testing on Healthcare Insurance

Author

Listed:
  • Michael Hoy

    (Department of Economics, University of Guelph, Ontario, Canada)

  • Fabienne Orsi

    (INSERM Research Unit 379, Marseille, France)

  • François Eisinger

    (Institut Paoli-Calmettes, Regional Cancer Hospital, Marseille, France)

  • Jean Paul Moatti

    (Department of Economics, University of the Mediterranean, Marseille, France)

Abstract

The article discusses the potential impact of the diffusion of genetic testing on healthcare insurance markets. It refers to the theoretical approaches respectively proposed by Rothschild and Stiglitz (1976) and Wilson (1977, 1980) about insurance market equilibrium with adverse selection due to asymmetries of information about individual risks. The article shows that, in such contexts, a market equilibrium can be reached either on the basis of separating contracts discriminating between risk levels or of pooling unique contracts based on the average risk in the population, and that the choice of this alternative depends on an empirical parameter: the effective proportion of “high-risk” individuals in the population. An application to the case of genetic risk of breast cancer, the most emblematic advance in practical application of genetic testing in recent years, confirms that, due to the limited incidence of the gene mutations associated with a higher risk in the general female population, a pooling equilibrium would be obtained. These results suggest that current alarmist claims that diffusion of genetic tests in medical practice will inevitably increase adverse selection and inefficiencies in health insurance systems if the use of this information to establish insurance contracts is banned (either because compulsory universal health insurance excludes separating contracts by essence, or by current legislation banning the use of genetic testing by private insurers) are rather overstatements. The Geneva Papers on Risk and Insurance (2003) 28, 203–221. doi:10.1111/1468-0440.00219

Suggested Citation

  • Michael Hoy & Fabienne Orsi & François Eisinger & Jean Paul Moatti, 2003. "The Impact of Genetic Testing on Healthcare Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 28(2), pages 203-221, April.
  • Handle: RePEc:pal:gpprii:v:28:y:2003:i:2:p:203-221
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    Citations

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    Cited by:

    1. Bardey, David & De Donder, Philippe & Mantilla, César, 2019. "How is the trade-off between adverse selection and discrimination risk affected by genetic testing? Theory and experiment," Journal of Health Economics, Elsevier, vol. 68(C).
    2. Ray Rees & Patricia Apps, 2006. "Genetic testing, income distribution and insurance markets, CHERE Working Paper 2006/3," Working Papers 2006/3, CHERE, University of Technology, Sydney.
    3. Michael Hoy & Michael Ruse, 2005. "Regulating Genetic Information in Insurance Markets," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(2), pages 211-237, September.
    4. Bardey, David & De Donder, Philippe, 2019. "A Welfare Analysis of Genetic Testing in Health Insurance Markets with Adverse Selection and Prevention," TSE Working Papers 19-1035, Toulouse School of Economics (TSE), revised 22 Jan 2024.
    5. Hoel, Michael & Iversen, Tor & Nilssen, Tore & Vislie, Jon, 2006. "Genetic testing in competitive insurance markets with repulsion from chance: A welfare analysis," Journal of Health Economics, Elsevier, vol. 25(5), pages 847-860, September.
    6. David Crainich, 2017. "Self-Insurance With Genetic Testing Tools," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 73-94, March.
    7. Oster, Emily & Shoulson, Ira & Quaid, Kimberly & Dorsey, E. Ray, 2010. "Genetic adverse selection: Evidence from long-term care insurance and Huntington disease," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 1041-1050, December.
    8. M. Martin Boyer & Franca Glenzer, 2021. "Pensions, annuities, and long-term care insurance: on the impact of risk screening," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 46(2), pages 133-174, September.
    9. Emons Winand, 2009. "Genetic Tests and Inter-Temporal Screening in Competitive Insurance Markets," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-19, July.
    10. Wanda Mimra & Janina Nemitz & Christian Waibel, 2019. "Voluntary pooling of genetic risk: A health insurance experiment," Post-Print hal-02499086, HAL.
    11. Vicky Barham & Rose Anne Devlin & Olga Milliken, 2016. "Genetic Health Risks: The Case for Universal Public Health Insurance," Working Papers 1605E, University of Ottawa, Department of Economics.
    12. Mimra, Wanda & Nemitz, Janina & Waibel, Christian, 2020. "Voluntary pooling of genetic risk: A health insurance experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 864-882.
    13. Stefano Bosi & Claire Rogel Gaillard, 2018. "Biologie prédictive pour la santé. Regards croisés sur les enjeux socio-économiques et scientifiques chez l'Homme, les animaux et les plantes," Post-Print hal-02786221, HAL.
    14. David Bardey & Philippe De Donder, 2015. "Welfare Impacts of Genetic Testing in Health Insurance Markets: Will Cross-Subsidies Survive?," Documentos CEDE 17220, Universidad de los Andes, Facultad de Economía, CEDE.
    15. David Bardey & Philippe De Donder & Cesar Mantilla, 2014. "Adverse Selection vs Discrimination Risk with Genetic Testing. An Experimental Approach," CESifo Working Paper Series 5080, CESifo.
    16. Christine Arentz, 2012. "Auswirkungen von Gentests in der Krankenversicherung," Otto-Wolff-Institut Discussion Paper Series 04/2012, Otto-Wolff-Institut für Wirtschaftsordnung, Köln, Deutschland.
    17. Michael Hoy & Michael Ruse, 2008. "“No Solution to This Dilemma Exists”: Discrimination, Insurance, and the Human Genome Project," Working Papers 0808, University of Guelph, Department of Economics and Finance.

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