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Intérêt des adhérents d'une mutuelle pour des services utilisant leurs données personnelles dans le cadre de la médecine personnalisée

Author

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  • Bénédicte Apouey

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - 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 - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

Abstract

Au cours d'une enquête quantitative menée en 2016 auprès de 1 700 adhérents d'une mutuelle, nous avons mesuré l'intérêt pour différents services qui seraient proposés par la mutuelle et utiliseraient les données personnelles dans une logique de médecine personnalisée. Les répondants sont à la fois préoccupés par la confidentialité de leurs données et intéressés par leur utilisation dans un but de suivi, de prédiction et de prévention. L'intérêt est plus marqué en cas de mauvaise santé et d'inquiétude pour les vieux jours. On observe un intérêt plus faible chez les individus dont la position sociale est plus élevée, peut-être du fait de leurs ressources matérielles et culturelles et de leur préoccupation vis-à-vis des risques liés à l'utilisation des données.

Suggested Citation

  • Bénédicte Apouey, 2019. "Intérêt des adhérents d'une mutuelle pour des services utilisant leurs données personnelles dans le cadre de la médecine personnalisée," Working Papers halshs-02295392, HAL.
    • Handle: RePEc:hal:wpaper:halshs-02295392
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02295392
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    References listed on IDEAS

    as
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    1. Bénédicte Apouey, 2019. "Présentation de l'enquête Bien vieillir Harmonie Mutuelle," Working Papers halshs-02319136, HAL.

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    Keywords

    données personnelles en santé; objets connectés; quantified self; big data; assureurs; France;
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