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The public’s comfort with sharing health data with third-party commercial companies

Author

Listed:
  • M. Grace Trinidad

    (University of Michigan Medical School)

  • Jodyn Platt

    (University of Michigan Medical School)

  • Sharon L. R. Kardia

    (University of Michigan School of Public Health)

Abstract

Healthcare systems are using big data-driven methods to realize the vision of learning health systems and improve care quality. In so doing, many are partnering with third-party commercial companies to provide novel data processing and analysis capabilities, while also providing personal health information to a for-profit industry that may store and sell data. In this research we describe the public’s comfort with sharing health data with third-party commercial companies for patient and business purposes and how this comfort is associated with demographic factors (sex, age, race/ethnicity, education, employment, income, insurance status, and self-reported health status), perceived healthcare access, and concerns about privacy. We surveyed the US public (n = 1841) to assess comfort with sharing health data with third-party commercial companies for patient or business purposes and examined whether there was a difference between comfort with data sharing for patient or business purposes. Univariate and stepwise regression modeling is used here to estimate the relationship between comfort with third-party commercial companies for patient and business purposes (outcomes) and demographic factors, self-reported health status, perceived healthcare access, and privacy concerns. The public is more comfortable sharing health data with third party commercial companies for patient purposes as compared to business purposes (paired t = 39.84, p

Suggested Citation

  • M. Grace Trinidad & Jodyn Platt & Sharon L. R. Kardia, 2020. "The public’s comfort with sharing health data with third-party commercial companies," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:7:y:2020:i:1:d:10.1057_s41599-020-00641-5
    DOI: 10.1057/s41599-020-00641-5
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    References listed on IDEAS

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    1. Damschroder, Laura J. & Pritts, Joy L. & Neblo, Michael A. & Kalarickal, Rosemarie J. & Creswell, John W. & Hayward, Rodney A., 2007. "Patients, privacy and trust: Patients' willingness to allow researchers to access their medical records," Social Science & Medicine, Elsevier, vol. 64(1), pages 223-235, January.
    2. Catherine L. Anderson & Ritu Agarwal, 2011. "The Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to Disclose Personal Health Information," Information Systems Research, INFORMS, vol. 22(3), pages 469-490, September.
    3. Reynolds, William W. & Nelson, Robert M., 2007. "Risk perception and decision processes underlying informed consent to research participation," Social Science & Medicine, Elsevier, vol. 65(10), pages 2105-2115, November.
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    Cited by:

    1. Clara Berridge & Yuanjin Zhou & Julie M. Robillard & Jeffrey Kaye, 2023. "AI Companion Robot Data Sharing: Preferences of an Online Cohort and Policy Implications," Journal of Elder Policy, John Wiley & Sons, vol. 2(3), pages 19-54, June.

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