Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study

Autor: Oluwatobiloba Ayo-Ajibola, Ryan J Davis, Matthew E Lin, Jeffrey Riddell, Richard L Kravitz
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Medical Internet Research, Vol 26, p e55138 (2024)
Druh dokumentu: article
ISSN: 1438-8871
DOI: 10.2196/55138
Popis: BackgroundOpenAI’s ChatGPT is a source of advanced online health information (OHI) that may be integrated into individuals’ health information-seeking routines. However, concerns have been raised about its factual accuracy and impact on health outcomes. To forecast implications for medical practice and public health, more information is needed on who uses the tool, how often, and for what. ObjectiveThis study aims to characterize the reasons for and types of ChatGPT OHI use and describe the users most likely to engage with the platform. MethodsIn this cross-sectional survey, patients received invitations to participate via the ResearchMatch platform, a nonprofit affiliate of the National Institutes of Health. A web-based survey measured demographic characteristics, use of ChatGPT and other sources of OHI, experience characterization, and resultant health behaviors. Descriptive statistics were used to summarize the data. Both 2-tailed t tests and Pearson chi-square tests were used to compare users of ChatGPT OHI to nonusers. ResultsOf 2406 respondents, 21.5% (n=517) respondents reported using ChatGPT for OHI. ChatGPT users were younger than nonusers (32.8 vs 39.1 years, P
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