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临床试验/NCT06211660
NCT06211660尚未招募不适用

An AI-based AR System for Hand Hygiene Training in Undergraduates of Health Related Disciplines: a Randomized Controlled Trial

The Hong Kong Polytechnic University1 个研究点 分布在 1 个国家目标入组 240 人开始时间: 2024年7月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
240
试验地点
1
主要终点
Practice of hand hygiene

研究概览

简要总结

The goal of this study is to design and test an innovative education tool for hand hygiene. The main aims are:

  1. develop a prototype of the AI-empowered AR system for hand hygiene training and assessment in undergraduates of health-related disciplines;
  2. conduct a non-inferiority randomized controlled trial (RCT) to test the effectiveness of this AI-based AR training system on knowledge and practice of hand hygiene in students of health related disciplines;
  3. evaluate the effects of the AI-based AR training system and collect feedbacks from participants.

Participants will be randomly assigned into the two intervention: Group A (AI-based AR training system) and Group B (Hand scanner and Video training). Pre- and post-intervention assessment will be used to evaluate the effectiveness of the program and individual components.

详细描述

Background The ongoing COVID-19 pandemic has posed serious threats to public health worldwide. Although children have mild symptoms, they have been found to more likely transmit the virus within the household than the other age groups. The importance of hand hygiene cannot be underestimated in both healthcare and community settings. The promotion of hand hygiene is the best practices in preventing health care-associated infection. It has been estimated that hand hygiene could reduce over 500 000 attributable deaths per year. It was found that the annual economic impact of health care-associated infection in the US was approximately US$6.5 billion in 2004 and every US$1 spent on hand hygiene promotion could result in a US$23.7 benefit. Education plays a key role in setting a good practice base in hand hygiene.

The traditional training methods for students of health related disciplines include in-class lecture and practical, but students seldom receive individualized instructions and feedbacks due to limited manpower and facilities. Hence, there is an urgent need of designing an automated and individualized training system. This proposed project aims to design and test an innovative education tool for hand hygiene, with the following specific objectives:

  1. develop a prototype of the AI-empowered AR system for hand hygiene training and assessment in undergraduates of health-related disciplines;
  2. conduct a non-inferiority randomized controlled trial (RCT) to test the effectiveness of this AI-based AR training system on knowledge and practice of hand hygiene in students of health related disciplines;
  3. evaluate the effects of the AI-based AR training system and collect feedbacks from participants.

If demonstrated effective, this system can be integrated into the curriculum of students of health related disciplines as an e-learning approach. In future, this system can also be used at point-of-care for real-time monitoring and audit of healthcare workers in other healthcare settings.

Methods Study design: This is a non-inferiority two-arm RCT.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Health Services Research
盲法
Double (Participant, Investigator)

入排标准

性别
All
接受健康志愿者

入选标准

  • All undergraduate students who are taking subjects in School of Nursing, School of Optometry, and Department of Applied Biology and Chemical Technology

排除标准

  • Students with severe eczema or other extreme hand conditions will be excluded

结局指标

主要结局

Practice of hand hygiene

时间窗: 5 minutes after hand washing

The percentage (from 0 to 100%, the higher scores mean a worse outcome) of fluorescent gel residual on hands shown in the hand scanner will be used as an objective assessment for efficacy of hand washing in individual participants.

次要结局

  • Knowledge of hand hygiene(10 minutes before and 10 minutes after hand washing)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Dr YANG Lin

Associate Professor

The Hong Kong Polytechnic University

研究点 (1)

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