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

M. Grace Trinidad (), Jodyn Platt and Sharon L. R. Kardia
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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

Palgrave Communications, 2020, vol. 7, issue 1, 1-10

Abstract: 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

Date: 2020
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DOI: 10.1057/s41599-020-00641-5

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