Evidence map›Paper›PMID 40431915›Full record

Trial reportSensors (Basel, Switzerland)2025

An Exploratory Study on Virtual Reality Technology for Fall Prevention in Older Adults with Mild Cognitive Impairment.

Wing Keung Ip, Jeffrey Soar, Kenneth Fong, Szu-Yao Wang, Christina James

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Virtual Reality Technology in Otolaryngology Patient Care Management: A Narrative Review of Current Evidence and Future Prospects.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wing Keung IpSchool of Society, Community & Health, University of Bedfordshire, Luton LU1 3JU, UK.ORCID 0000-0003-1187-9746
Jeffrey SoarSchool of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia.ORCID 0000-0002-4964-7556
Kenneth FongDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Szu-Yao WangSchool of Nursing, Midwifery & Paramedicine, Australian Catholic University, Banyo, QLD 4014, Australia.
Christina JamesSchool of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia.ORCID 0000-0003-1853-6148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVirtual Reality (VR) training has potential evidence for reducing the risks of falls of older adults with mild cognitive impairment (MCI). There are indications of a positive training effect of a cognitive-motor intervention method to improve the postural balance and cognition for safer walking. This study aimed to evaluate the training effects of VR training for reducing the risks of falls among older adults with mild cognitive impairment (MCI).

methodsAn experimental design was employed to evaluate how the participants attended a full-immersive VR Cave Automatic Virtual Environment (CAVE) training program. Fifty-five participants were randomly assigned to the VR group or the control group. The VR group received 16 training sessions over 8-10 weeks, while the control group received a non-VR falls prevention program. The primary outcome assessed any falls after the study, and the secondary outcomes assessed changes in cognition and executive function, walk speed and balance performances, and the psychological factor such as fear of falling relating to the risk factors of fall.

resultsThe VR group showed significantly greater improvement than the control group in terms of measures of cognitive-motor performance across group and time interaction. However, there were inconsistent results in functional mobility and fall efficacy between the two groups.

conclusionThis study provides promising evidence on the VR CAVE training for reducing the risks of falls among older adults with MCI from Hong Kong. VR technology-based applications are an emerging area in current aged care and rehabilitation services.

Indexed as

Accidental FallsCognitive DysfunctionVirtual RealityAgedAged, 80 and overCognitionFemaleHumansMalePostural BalanceWalkingcave automatic virtual environment (CAVE)cognitive-motor trainingfall preventionfall risksmild cognitive impairment (MCI)older adultsvirtual reality (VR)

Identifiers

PMID40431915
PMCPMC12115703

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.