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Consumer Views on Health Applications of Consumer Digital Data and Health Privacy Among US Adults: Qualitative Interview Study.
Grande, David; Luna Marti, Xochitl; Merchant, Raina M; Asch, David A; Dolan, Abby; Sharma, Meghana; Cannuscio, Carolyn C.
  • Grande D; Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, United States.
  • Luna Marti X; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States.
  • Merchant RM; Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, United States.
  • Asch DA; Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.
  • Dolan A; Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, United States.
  • Sharma M; Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.
  • Cannuscio CC; Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, United States.
J Med Internet Res ; 23(6): e29395, 2021 06 09.
Article in English | MEDLINE | ID: covidwho-1262585
ABSTRACT

BACKGROUND:

In 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual's health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies.

OBJECTIVE:

This study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy.

METHODS:

We conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information.

RESULTS:

The final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs' use of consumer digital data.

CONCLUSIONS:

Current privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Interviews as Topic / Privacy / Consumer Behavior / Qualitative Research / Consumer Health Information / Datasets as Topic Type of study: Cohort study / Observational study / Prognostic study / Qualitative research Limits: Adolescent / Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 29395

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Interviews as Topic / Privacy / Consumer Behavior / Qualitative Research / Consumer Health Information / Datasets as Topic Type of study: Cohort study / Observational study / Prognostic study / Qualitative research Limits: Adolescent / Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 29395