Are older adults using ChatGPT for medical advice? Results from a cross-sectional survey study

General-purpose large language models (LLMs) like ChatGPT are increasingly used for medical advice despite lacking medical training and frequently producing incorrect or unsafe output. Older adults' health information-seeking behaviors using LLMs remain poorly characterized. We conducted a cross-sectional survey of 574 US adults aged 50+ recruited via Prolific, balanced by sex and race. Participants reported health information sources, ChatGPT and PubMed use, demographics, and health literacy. Most participants (92%) searched online for health information. All had heard of ChatGPT, and 63% used it for medical information, compared to 44% who had heard of PubMed and 39% who used it. Those with inadequate health literacy had higher odds of ChatGPT use for medical advice (AOR 2.36, 95% CI 1.30-4.52) versus those with adequate health literacy. In conclusion, with more than half of older adults using LLMs for medical advice, the development of safer, purpose-trained medical LLMs is warranted.

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Publication Details

Journal
medRxiv
Published
2026-01-04
DOI
https://doi.org/10.64898/2026.01.01.25342468
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Are older adults using ChatGPT for medical advice? Results from a cross-sectional survey study

Meghan Reading Turchioe, David J. Slotwiner, Jarrott Mayfield, Afra Shamnath et al.
medRxiv
Artificial Intelligence in Healthcare and Education
article

Are older adults using ChatGPT for medical advice? Results from a cross-sectional survey study

Meghan Reading Turchioe, David J. Slotwiner, Jarrott Mayfield, Afra Shamnath, Natalie Benda, Xuhai Xu
article en

Abstract

General-purpose large language models (LLMs) like ChatGPT are increasingly used for medical advice despite lacking medical training and frequently producing incorrect or unsafe output. Older adults' health information-seeking behaviors using LLMs remain poorly characterized. We conducted a cross-sectional survey of 574 US adults aged 50+ recruited via Prolific, balanced by sex and race. Participants reported health information sources, ChatGPT and PubMed use, demographics, and health literacy. Most participants (92%) searched online for health information. All had heard of ChatGPT, and 63% used it for medical information, compared to 44% who had heard of PubMed and 39% who used it. Those with inadequate health literacy had higher odds of ChatGPT use for medical advice (AOR 2.36, 95% CI 1.30-4.52) versus those with adequate health literacy. In conclusion, with more than half of older adults using LLMs for medical advice, the development of safer, purpose-trained medical LLMs is warranted.

medRxiv
Johns Hopkins University (US), Cornell University (US), Weill Cornell Medicine (US), Columbia University (US)
National Institutes of Health
Quality Education
Openalex Percentile: Top 97%
Artificial Intelligence in Healthcare and Education
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