Smoking Cessation Counseling Performance Among Medical Interns

NCT07650721 | Not Yet Recruiting DMC

• 1 other identifier: WGEK-AI-Cessation
• Study Type: interventional
• Target: 140
• Locations: 1 country
• Sites: 1

Brief Summary

Smoking remains one of the leading preventable causes of morbidity and mortality worldwide and is strongly associated with chronic respiratory diseases, cardiovascular disease, cancer, and premature death. Physicians play a central role in tobacco control through the delivery of smoking cessation counseling, and even brief physician advice has been shown to significantly increase smoking quit rates. The evidence-based 5A's model (Ask, Advise, Assess, Assist, and Arrange) is widely recommended as the standard framework for smoking cessation counseling.

Conditions

Smoking Cessation

Keywords

Smoking Cessation; Artificial Intelligence; Medical Interns

Outcome Measures

Primary Outcomes (1)

• Change in smoking cessation counseling performance score

  Smoking cessation counseling performance will be assessed using standardized clinical cases and a predefined 5A a standardized scoring system (Ask, Advise, Assess, Assist, and Arrange). Each case scenario will be scored out of 10 points, with a total possible score of 30 points for three clinical cases. The primary outcome will be the change in total 5A performance score from baseline to post-intervention assessment

  1 month

Study Arms (2)

Artificial Intelligience assisted interactive case-based training

EXPERIMENTAL

Participants will receive AI-assisted interactive case-based training in addition to the standard educational materials. The intervention will consist of a series of standardized clinical scenarios related to smoking cessation counseling, followed by structured AI-generated educational feedback based on the 5A model

Other: Artificial Intelligence assisted interactive case-based training for smoking cessation counselling

standard guideline-based smoking cessation training

ACTIVE COMPARATOR

Participants will receive standard guideline-based smoking cessation training consisting of educational materials covering the 5A smoking cessation counseling model, nicotine dependence, pharmacological treatment options, and smoking cessation referral strategies

Other: standard guideline-based smoking cessation training

Interventions

Artificial Intelligence assisted interactive case-based training for smoking cessation counselling OTHER

Participants will receive AI-assisted interactive case-based training in addition to the standard educational materials. The intervention will consist of a series of standardized clinical scenarios related to smoking cessation counseling, followed by structured AI-generated educational feedback based on the 5A model

Artificial Intelligience assisted interactive case-based training

standard guideline-based smoking cessation training OTHER

Participants will receive standard guideline-based smoking cessation training consisting of educational materials covering the 5A smoking cessation counseling model, nicotine dependence, pharmacological treatment options, and smoking cessation referral strategies.

standard guideline-based smoking cessation training

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Medical interns enrolled in the internship training program at the Faculty of Medicine, Assiut University during the study period.
• Able to attend the training session and complete all study assessments, including the pre-test and post-test evaluations.

You may not qualify if:

• Previous formal structured training in smoking cessation counseling based on the 5A model.
• Previous participation in a smoking cessation counseling educational program within the preceding 12 months.
• Failure to complete the assigned educational intervention.
• Failure to complete either the pre-test or post-test assessment.
• Withdrawal of consent at any stage of the study.

Sponsors & Collaborators

• Assiut University: lead

Study Sites (1)

Assuit University Hospiatal

Asyut, Assuit, 71515, Egypt

Location

Related Publications (3)

• Stead LF, Buitrago D, Preciado N, Sanchez G, Hartmann-Boyce J, Lancaster T. Physician advice for smoking cessation. Cochrane Database Syst Rev. 2013 May 31;2013(5):CD000165. doi: 10.1002/14651858.CD000165.pub4.

  PMID: 23728631 BACKGROUND

• Park KY, Park HK, Hwang HS. Group randomized trial of teaching tobacco-cessation counseling to senior medical students: a peer role-play module versus a standardized patient module. BMC Med Educ. 2019 Jun 25;19(1):231. doi: 10.1186/s12909-019-1668-x.

  PMID: 31238920 BACKGROUND

• Chinwong D, Penthinapong T, Chinwong S. Integrating ChatGPT for smoking cessation counseling practice in pharmacy education: A single group quasi-experimental study. Tob Induc Dis. 2025 Nov 21;23. doi: 10.18332/tid/211706. eCollection 2025.

  PMID: 41281586 BACKGROUND

MeSH Terms

Conditions

Smoking Cessation

Condition Hierarchy (Ancestors)

Health Behavior; Behavior

Study Officials

• waleed gamal, ass. prof

  Assiut University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

waleed gamal, ass. prof

CONTACT

+201006519722; waleedgamalddin@yahoo.com

Montaser gamal, Lecturer

CONTACT

+201008951058; Montaser_zahran@yahoo.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant professor of chest diseases

Study Record Dates

• First Submitted: June 11, 2026
• First Posted: June 16, 2026
• Study Start: June 30, 2026
• Primary Completion (Estimated): September 1, 2026
• Study Completion (Estimated): October 1, 2026
• Last Updated: June 16, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will not share

Locations

EG (1)