Development of a questionnaire for assessing the use of ChatGPT in primary and secondary disease prevention
Year: 2026
Type: article
Abstract: Background: Many individuals seek health-related guidance through ChatGPT OpenAI (San Francisco, CA, USA), due to its convenience and perceived reliability, often in place of, or as a supplement to, professional medical advice. This raises concerns about the accuracy of information provided and the potential for misinterpretation. On the other hand, ChatGPT offers a promising avenue for complementing traditional health prevention processes. Aims: This study aimed to develop and validate self-completion questionnaire among adults that evaluates the use of role of ChatGPT in primary and secondary health prevention, to explore the extent to which users utilize ChatGPT for disease prevention and health maintenance. Method: Questionnaire items were derived from a systematic literature review and comprised demographics, internet-use metrics, and validated items from the Brief Health Literacy Screening Tool. ChatGPT usage was structured into three domains: knowledge, attitudes, and behaviors. Test-retest reliability was quantified by Kendall's tau, and internal consistency by Cronbach's Alpha. Results: < 0.01). For behavior items, seven achieved perfect reliability (τ = 1.00), and five exceeded τ > 0.70. Attitude items similarly showed high stability, with three at τ = 1.00 and three above τ > 0.70. Internal consistency was acceptable (raw Cronbach's α = 0.771). Discussion: Our reliability analysis demonstrated that the items of the instrument exhibit good internal consistency, with Cronbach's Alpha values exceeding the commonly accepted threshold for exploratory research. Moreover, the questionnaire's design is inherently model-independent, allowing for its straightforward adaptation to assess user interactions with a variety of conversational artificial intelligence systems beyond ChatGPT. Conclusion: In conclusion, this study presents an initially validated questionnaire that captures how individuals employ ChatGPT for both primary and secondary disease prevention. The tool addresses key dimensions of artificial intelligence use and enables meaningful comparisons across populations with different social and educational backgrounds.
Source: Frontiers in Public Health
Institution: Semmelweis University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: G1618186294, G7145426769
OpenAlex ID: W7118674922