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Technology

Session: Technology Medicine Works in Progress

WIP 148 - Internet-based Intervention to Improve Academic Knowledge of E-cigarette Health-related Issues Among Medical Students in a University Hospital in Bangkok

Friday, May 3, 2024
5:15 PM – 7:15 PM ET
Poster Number: WIP 148
Publication Number: WIP 148.820


Background: The incidence of E-cigarette smoking among youths has been rising as it is publically advertised as an alternative way to nicotine use. This emerging problem overgrows in Thailand while knowledge of them is still limited. As a part of the healthcare system and a part of the age group with the highest incidence of E-cigarette smoking, medical students are responsible for spreading truths and establishing good health insights regarding e-cigarettes to society.

Objective: To evaluate the effectiveness of the newly-developed animation in the improvement of knowledge about e-cigarettes and the level of confidence among Thai medical students.

Design/Methods: An observational cross-sectional study will be conducted from March 2023 to January 2024 among medical students at Ramathibodi Hospital, Mahidol University, Bangkok, Thailand. The 10-minute animation about E-cigarette was developed to educate Thai medical students. Medical students from 1st to 6th year aged between 18 – 30 years old were recruited. Online questionnaires were distributed by convenience sampling via Google form before and after watching an educational animation about e-cigarettes. Demographic data and 15-item questionnaires will be collected three times as a pre-test, immediate post-test, and post-test at three months to evaluate knowledge of E-cigarette Health-related issues [P1, P2, P3] concerning harmful chemical ingredients and symptoms of EVALI, as well as E-cigarette Advice Confidence level [C1, C2, C3]. IRB approval was approved regarding MURA4355.

Data collected as scores from the pre-test, immediate post-test, and post-test after three months will be analyzed via the SPSS program as mean and standard deviation by using a paired T-test comparing the mean of scores (P1 with P2 and P2 with P3 as well as compare C1 with C2 and C2 with C3)

The participant recruitment will be completed by January 2024, and then the data analysis will be accomplished in March 2024.