Validation of the theoretical domains framework for use in behaviour change and implementation research.
James Cane, Denise O'Connor, Susan Michie
https://pubmed.ncbi.nlm.nih.gov/22530986Actively Recruiting
Led by The Hong Kong Polytechnic University · Updated on 2025-12-12
1000
Participants Needed
3
Research Sites
4 weeks
Total Duration
T
The Hong Kong Polytechnic University
Lead Sponsor
C
Chinese University of Hong Kong
Collaborating Sponsor
Researchers are evaluating an edge artificial intelligence (AI)-based augmented reality (AR) training and assessment system designed to improve hand hygiene knowledge and practice in healthcare and educational settings. This multi-centre, mixed-methods cluster randomised controlled trial involves around 480 participants, including undergraduate students in health-related fields and healthcare professionals or supporting staff from hospitals. The study aims to compare this new AI-based AR system with an existing educational program that uses hand scanner feedback and instructional videos to see if the new method is not less effective. Participants will be randomly assigned to one of two groups. One group receives the AI-based AR training, which offers real-time, personalized feedback on handwashing performance using computer vision. The other group receives feedback from a fluorescent hand scanner and watches a standard seven-step handwashing video. Both groups perform a baseline handwash with fluorescent powder, followed by training, then a second handwash. The study includes a qualitative component where a subset of participants shares their experiences and perceptions of the training through interviews. Participants will provide consent and complete questionnaires assessing their hand hygiene knowledge and practice before and after training. Handwashing is assessed objectively by measuring fluorescent residue using a scanner and by expert evaluation of recorded videos. Researchers will measure improvement in the amount of fluorescent residue left on hands as the primary outcome, along with knowledge scores, proper handwashing steps, and user satisfaction. Data will be anonymized and securely stored, with a low risk of allergic reactions from the fluorescent powder. Participation lasts through the pre- and post-training assessments within one study visit.
CONDITIONS
Effectiveness of an Edge AI-based Augmented Reality System for Hand Hygiene Training: a Multi-centre, Mixed-methods Cluster Randomised Controlled Trial
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Complete this quick 3-step screening to check your eligibility
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Same day as intervention
Participants perform a first handwash with fluorescent powder without any guidance, followed by video recording and scanning of fluorescent residue. Participants complete a questionnaire on hand hygiene knowledge and practice.
1 visit (in-person)
Duration - Immediately following baseline assessment
Participants receive hand hygiene training according to their assigned group: either AI-based augmented reality system with real-time individualized guidance or viewing their baseline fluorescent residue results plus a standard 7-step instructional video.
1 training session (in-person)
Duration - Same day as intervention
Participants perform a second handwash with fluorescent powder with video recording and scanning of fluorescent residue, followed by a post-training questionnaire on hand hygiene knowledge and practice to assess effectiveness of training.
1 visit (in-person)
Duration - After intervention during study period
A purposive subsample of participants may take part in semi-structured interviews to explore their experiences, attitudes, and perceived barriers related to hand hygiene training and use of the AI-based AR system.
1 interview session (in-person or remote)
Total: 3 locations
1
Tongji Hospital
Wuhan, Hubei, China
Not Yet Recruiting
2
The Hong Kong Polytechnic University
Hung Hom, Hong Kong, Hong Kong
Actively Recruiting
3
The Chinese University of Hong Kong
Shatin, Hong Kong, Hong Kong
Not Yet Recruiting
L
Lin Yang, Doctor
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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