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The Effects of AR and VR Oral Care Training System on Oral Healthcare for Elderly in Eldercare Students

The Effects of Augmented Reality (AR) and Virtual Reality (VR) Oral Care Training System on Oral Healthcare for Elderly in Eldercare Students

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05958238
Enrollment
32
Registered
2023-07-24
Start date
2023-04-07
Completion date
2023-12-21
Last updated
2024-10-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Keywords

Elderly, Medical Education, Augmented Reality, Virtual Reality, Oral Hygiene

Brief summary

The aim of this study is to assess the effectiveness of an AR/VR oral care training system on the knowledge, attitudes, self-efficacy, and behavioral intentions of students majoring in geriatric care.

Detailed description

A randomized controlled trial design will be employed, students randomly assigned to either the experimental group or the control group. The experimental group will receive a total of two sessions of AR/VR oral care training, each lasting two hours, with the intervention taking place two weeks and four weeks after completing the pre-test questionnaire. The control group, on the other hand, will receive traditional oral care instruction for thirty minutes. Each student collected the data by a self-administered questionnaire before and immediately after each intervention. Linear regression in generalized estimating equations (GEE) compares the differences between both groups.

Interventions

DEVICEAR/VR oral care training system

Students simulated the treatment of the elderly with different physical and oral conditions using virtual situations and employed suitable oral care methods depending on each situation through VR. They learned the Bass brushing technique, the interdental brush cleaning method, and the soft tissue cleaning method through AR.

OTHERTraditional classroom teaching

The well-trained oral hygienist provided traditional oral care instruction with the same teaching content in the AR/VR-based training system.

Sponsors

Kaohsiung Medical University Chung-Ho Memorial Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 30 Years
Healthy volunteers
Yes

Inclusion criteria

* Aged 18-30 years * Students majoring in geriatric care * Fooyin University of Technology

Exclusion criteria

* Transfer student

Design outcomes

Primary

MeasureTime frameDescription
Oral care-related knowledgeChange from Baseline at 2-week after intervention20 statements were used to measure students' knowledge of the oral care of elderly. Ex: Dentures should be cleaned with toothpaste every day. With possible scores of 0-20, a higher score indicated a higher degree of oral care-related knowledge.
Attitude toward oral careChange from Baseline at 2-week after intervention7 statements were used to measure students' attitude toward oral care of elderly. Ex: Oral care is as important as physical care for the elderly with disabilities. With possible scores of 7-35, a higher score indicated a more positive attitude toward oral care for elderly.
Self-efficacy of oral careChange from Baseline at 2-week after intervention11 statements were used to evaluate students' self-efficacy in provideng the elderly with oral care. Ex: I am confident about assisting the elderly with disabilities in performing soft tissue cleaning. With possible scores of 11-55, a higher score indicated a greater degree of confidence.
Intention to oral care behaviorsChange from Baseline at 2-week after intervention12 statements were used to measure students' intention to assist elderly. Ex: I will take the initiative to check the suitability of oral care tools for the elderly with disabilities. With possible scores of 12-60, a higher score indicated a higher possibility of performing the behaviors.

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026