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The Social Acceptance of Smart Health Services in Japan

Author

Listed:
  • Yuho Shimizu

    (Graduate School of Humanities and Sociology, The University of Tokyo, Tokyo 1130033, Japan)

  • Aimi Ishizuna

    (Faculty of Letters, The University of Tokyo, Tokyo 1130033, Japan)

  • Shin Osaki

    (Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 1138656, Japan)

  • Takaaki Hashimoto

    (Faculty of Sociology, Toyo University, Tokyo 1128606, Japan)

  • Mitsuharu Tai

    (Center for Technology Innovation, R&D Group, Hitachi, Ltd., Tokyo 1138656, Japan)

  • Tetsushi Tanibe

    (Graduate School of Humanities and Sociology, The University of Tokyo, Tokyo 1130033, Japan
    Center for Research and Development on Transition from Secondary to Higher Education, The University of Tokyo, Tokyo 1130033, Japan
    Faculty of Humanities, Niigata University, Niigata 9502181, Japan)

  • Kaori Karasawa

    (Graduate School of Humanities and Sociology, The University of Tokyo, Tokyo 1130033, Japan)

Abstract

In recent years, smart health (s-Health) services have gained momentum worldwide. The s-Health services obtain personal information and aim to provide efficient health and medical services based on these data. In Japan, active efforts to implement these services have increased, but there is a lack of social acceptance. This study examined social acceptance concerning various factors such as trust in the city government, perceived benefits, perceived necessity, perceived risk, and concern about interventions for individuals. An online survey was conducted, and Japanese participants ( N = 720) were presented with a vignette depicting a typical s-Health service overview. The results of structural equation modeling showed that trust was positively related to perceived benefit and necessity and negatively related to perceived risk and concern about interventions for individuals. Perceived benefit and trust were positively related to social acceptance, and perceived risk was negatively related to acceptance. The model obtained in this study can help implement s-Health services in public. Empirical studies that contribute to improving public health by investigating the social acceptance of s-Health services should be conducted in the future.

Suggested Citation

  • Yuho Shimizu & Aimi Ishizuna & Shin Osaki & Takaaki Hashimoto & Mitsuharu Tai & Tetsushi Tanibe & Kaori Karasawa, 2022. "The Social Acceptance of Smart Health Services in Japan," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1298-:d:732404
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    References listed on IDEAS

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