Augmented Reality Animations for Smoking Cessation Counseling Training
NCT ID: NCT07024485
Last Updated: 2025-06-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
50 participants
INTERVENTIONAL
2025-05-23
2025-05-23
Brief Summary
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Hypotheses to be tested: (1) AR animations can improve nursing students' knowledge, skills in SCC compared to conventional teaching methods. (2)Student satisfaction and engagement with AR-based learning can be improved. (3) The training will increase master nursing students' self-efficacy to application of 5As SCC skill.
The study is a pragmatic randomized controlled trial (RCT) with a 1:1 allocation ratio, using AR animations for intervention and control groups. The intervention group receives messages related to SCC, while the control group receives generic mental health information. The subjects are MN students enrolled in the "Tobacco Dependency Nursing Intervention and Management" course.
The study uses various tools for measurement, including Providers Smoking Cessation Training Evaluation(ProSCiTE), and The Instructional Materials Motivation Survey (IMMS). The main outcome measures include SCC practice frequency,SCC knowledge score, SCC attitude score, and SCC practice score.
Data will be entered into SPSS for Windows (version 20) for analysis. Descriptive statistics including frequency, percentage, and mean will be used to summarize the outcomes and other variables. By intention-to-treat analysis, participants who are lost or refuse the follow-up will be treated as no change in the training outcomes. Chi-square tests and t-tests will be used to compare outcomes between intervention and control groups. The effect size, Cohen's d, will be computed for the standardized mean of the pre-post differences, both with and without adjustment for baseline characteristics. Additionally, Cohen's f will be calculated to assess the magnitude of the intervention effect in the linear mixed models. These models, which account for multiple observations per subject and clustering effects, will be used to analyze the intervention's impact on self-efficacy, motivation, and KAP. Both the main effect (group allocation) and interaction effect (group × time) will be examined to determine the intervention's effectiveness.
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Detailed Description
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This study adopts a two-arm, waitlist-controlled, pragmatic randomized controlled trial (RCT) design with a 1:1 allocation ratio. Eligible participants are MN students enrolled in the "Tobacco Dependency Nursing Intervention and Management" course (NURS8205) in the Spring 2025 semester. Participants will be randomly assigned into intervention and control groups, stratified by tutorial group, and balanced across four trained facilitators.
Intervention Group: Receives the AR-enhanced SCC tutorial, which includes the following components:
1. Viewing videos of four simulated smoker-patient scenarios.
2. Reviewing case-based written materials.
3. Interacting with AR animations embedded in the learning platform, which visualize behavioral counselling techniques and simulate patient-provider communication aligned with the 5As model.
Control Group: Receives the standard tutorial format, which includes:
1. Viewing the same four smoker videos.
2. Reading the same case-based written materials.
3. No AR content is provided; instead, supplementary materials unrelated to SCC will be included to maintain time-equivalent exposure.
The intervention has been developed to align with adult learning theory and aims to enhance knowledge retention, skill application, and learner engagement. Tutors leading both intervention and control sessions will receive standardized training to ensure consistency.
Measurement and Data Collection Assessments will be conducted at baseline (pre-intervention), immediately post-intervention, and follow-up at 2-month post-intervention.
Key instruments include:
1. Providers Smoking Cessation Training Evaluation (ProSCiTE): This validated tool will be used to assess four constructs: knowledge, attitude, self-efficacy, and SCC behavior. It serves as the primary tool for evaluating changes in KAP and self-efficacy.
2. Instructional Materials Motivation Survey (IMMS): Based on Keller's ARCS model (Attention, Relevance, Confidence, Satisfaction), IMMS will measure students' engagement, satisfaction, and motivation related to the learning materials.
Data Analysis Data will be analyzed using SPSS for Windows version 20. Descriptive statistics (means, SDs, frequencies, and percentages) will summarize baseline characteristics and outcome variables.
Intention-to-treat analysis will be applied, where participants lost to follow-up will be assumed to have no change from baseline scores.
Independent t-tests and chi-square tests will compare primary and secondary outcomes between groups.
Effect sizes will be calculated:
Cohen's d for standardized pre-post mean differences. Cohen's f for evaluating the intervention effect size in linear mixed-effects models, which will control for repeated measures and potential clustering effects (e.g., by tutorial group or tutor).
These models will assess both:
Main effect of the intervention (between-group differences). Interaction effect between group and time (i.e., whether change over time differs between groups).
Expected Impact
It is anticipated that the AR-based intervention will lead to:
Increased self-efficacy in delivering SCC using the 5As model. Enhanced knowledge and positive attitudes toward smoking cessation. Improved SCC practice behaviors during clinical placements. Greater learner motivation and satisfaction compared to traditional tutorial methods.
This innovative pedagogical approach aligns with contemporary nursing education trends and aims to equip future nurses with effective behavioral counselling skills to address tobacco dependence.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
DOUBLE
Study Groups
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Intervention group
Teaching format: Tutorial includes Augmented Reality (AR) animations Learning materials: Watch 4 smokers' real-life scenario videos + read case texts + interact with AR animations Discussion preparation: Develop quit plan using 5As model and AR animations; prepare for role-play Role-play and simulation: Use AR visuals to support counseling demonstration; each group role-plays using 5As model Technology/tools required:Smartphone with browser (iOS/Android); no app download needed
AR animations and 5As model based on smoking cessation counseling Knowledge-Attitude-Practice (KAP)
The intervention group received a tutorial that incorporated Augmented Reality (AR) animations alongside conventional teaching materials. In addition to watching four real-life smoker scenario videos and reading corresponding case texts, students used their smartphones to interact with AR animations that visualized the physiological effects of smoking (e.g., lung cancer, vascular disease, aging). These animations were used during group discussions and role-play sessions, helping students to assess smokers' knowledge, illustrate health risks, and tailor counseling plans using the 5As model. The AR experience was designed to enhance learning engagement, emotional connection, and self-efficacy in delivering smoking cessation counseling.
Control group
Teaching format: Traditional tutorial without AR animations Learning materials: Watch 4 smokers' real-life scenario videos + read case texts only Discussion preparation: Develop quit plan using 5As model; prepare for role-play (no AR used) Role-play and simulation: Role-play based on text and video only; 5As model used Technology/tools required:No specific technology required
5As model based on smoking cessation counseling Knowledge-Attitude-Practice (KAP)
The control group, received a conventional tutorial without the use of AR technology. They watched the same four smoker scenario videos and read the same case texts, then engaged in small group discussions and role-play activities to develop quit plans using the 5As counseling model. However, unlike the intervention group, their learning process relied solely on textual and video materials, without the immersive or interactive elements provided by AR. This approach represents standard smoking cessation training methods commonly used in nursing education.
Interventions
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AR animations and 5As model based on smoking cessation counseling Knowledge-Attitude-Practice (KAP)
The intervention group received a tutorial that incorporated Augmented Reality (AR) animations alongside conventional teaching materials. In addition to watching four real-life smoker scenario videos and reading corresponding case texts, students used their smartphones to interact with AR animations that visualized the physiological effects of smoking (e.g., lung cancer, vascular disease, aging). These animations were used during group discussions and role-play sessions, helping students to assess smokers' knowledge, illustrate health risks, and tailor counseling plans using the 5As model. The AR experience was designed to enhance learning engagement, emotional connection, and self-efficacy in delivering smoking cessation counseling.
5As model based on smoking cessation counseling Knowledge-Attitude-Practice (KAP)
The control group, received a conventional tutorial without the use of AR technology. They watched the same four smoker scenario videos and read the same case texts, then engaged in small group discussions and role-play activities to develop quit plans using the 5As counseling model. However, unlike the intervention group, their learning process relied solely on textual and video materials, without the immersive or interactive elements provided by AR. This approach represents standard smoking cessation training methods commonly used in nursing education.
Eligibility Criteria
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Inclusion Criteria
* able to read, understand, and write in English
* willing to participate in this study
Exclusion Criteria
ALL
No
Sponsors
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The University of Hong Kong
OTHER
Responsible Party
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Dr. Derek Yee-Tak Cheung
Assistant Professor
Locations
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Hong KongLKS Faculty of MedicineHong Kong
Hong Kong, Hong Kong, China
Countries
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Other Identifiers
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EA250324
Identifier Type: -
Identifier Source: org_study_id
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