ArticleTobacco induced diseases2025
Integrating ChatGPT for smoking cessation counseling practice in pharmacy education: A single group quasi-experimental study.
Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07650721 (Effect of Artificial Intelligence-Assisted Interactive Case-Based Training on Smoking Cessation Counseling Performance Among Medical Interns), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Artificial Intelligence-Assisted Interactive Case-Based Training on Smoking Cessation Counseling Performance Among Medical Interns
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- GenAI-Supported Virtual Patients in Health Care Education: Systematic Review.Journal of medical Internet research · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPracticing smoking cessation counseling with real patients is often limited in pharmacy education. To address this gap, artificial intelligence (AI) was employed to simulate patient interactions for role-playing, providing a flexible and pressure-free learning experience. This study aimed to evaluate the use of an AI-simulated patient (ChatGPT) for smoking cessation counseling in pharmacy education by assessing students' satisfaction, perceived learning impact, benefits, and difficulties encountered.
methodsA quasi-experimental one-group post-test design was conducted with fourth-year pharmacy students enrolled in the smoking-cessation skills course at the Faculty of Pharmacy, Chiang Mai University, during the first semester of 2024 academic year. All students registered and attending the course were eligible and invited to participate. Case scenarios based on the 5As framework were developed and implemented in ChatGPT to simulate real-time counseling. After completing the AI session, students completed a self-administered questionnaire.
resultsAmong 145 fourth-year pharmacy students, 66% reported satisfaction with the AI activity, and 84.4% indicated improved understanding of smoking cessation. Reported benefits included enhanced self-assessment and adaptability in the learning process, while common challenges involved technical limitations and limited understanding of how AI functions.
conclusionsOverall, students expressed satisfaction with the AI-based activity, reported improved learning, and identified both benefits and areas for improvement. These findings support the integration of AI tools like ChatGPT as a student-centered, scalable approach in smoking cessation education, aligned with SDG 4: Quality Education.
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