Evidence map›Paper›PMID 37781824›Full record

SynthesisTechnology and health care : official journal of the European Society for Engineering and Medicine2024

Effectiveness of non-immersive virtual reality exercises for balance and gait improvement in older adults: A meta-analysis.

Joo-Hee Park, Hye-Seon Jeon, Ji-Hyun Kim, Ye Jin Kim, Gyeong Ah Moon

Expression of concernAbstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Joo-Hee ParkDepartment of Physical Therapy, College of Software and Digital Healthcare Convergence, Kangwon-do, Korea.
Hye-Seon JeonDepartment of Physical Therapy, College of Software and Digital Healthcare Convergence, Kangwon-do, Korea.
Ji-Hyun KimDepartment of Physical Therapy, The Graduate School, Yonsei University, Kangwon-do, Korea.
Ye Jin KimDepartment of Physical Therapy, The Graduate School, Yonsei University, Kangwon-do, Korea.
Gyeong Ah MoonDepartment of Physical Therapy, The Graduate School, Yonsei University, Kangwon-do, Korea.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVirtual reality (VR)-based physical exercise is an innovative and effective intervention strategy for healthcare in older adults.

objectiveThis meta-analysis aimed to clarify the effects of VR-based balance exercise programs on various balancing abilities of older adults. In addition, the effect size of each variable was computed by total exercise time, sensor type, avatar presence, and feedback type to determine influencing factors that lead to the success of VR-based rehabilitation programs.

methodsThe databases searched were PubMed/Medline, CINAHL, NDSL, and Google Scholar. Inclusion criteria were: (1) independent older adults; (2) non-immersive VR exercise; (3) randomized controlled design; (4) both balance and gait data; and (5) written in English and Korean. The studies without information to compute effect sizes were excluded. Standardized mean difference was used to analyze the effect size (d).

resultsTwenty-five studies were finally included in this study. The main findings of this meta-analysis were as follows: (1) Non-immersive VR-based balance exercises are moderately and largely effective for improving overall balance function, (2) VR balance exercise was more effective for static balance than for gait, (3) VR exercise is more effective when avatars are presented and KP is provided as feedback.

conclusionTotal exercise time and mode of feedback are influencing factors that affect the effectiveness of VR-based balance exercises.

Indexed as

Exercise TherapyGaitPostural BalanceVirtual RealityAgedHumansBalanceexercisinggaitmeta-analysisvirtual reality

Identifiers

PMID37781824
OpenAlexW4387168336

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.