Evidence map›Paper›PMID 39773392›Full record

SynthesisBMC public health2025

The effectiveness of digital technology-based Otago Exercise Program on balance ability, muscle strength and fall efficacy in the elderly: a systematic review and meta-analysis.

Zihao He, Hua Wu, Guanggao Zhao, Yiming Zhang, Chao Li, Yachen Xing, Anjie Xu, Junchao Yang, Ronghui Wang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 5 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

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

  1. Pooled it
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  3. Pooled it
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  5. Pooled it
  6. Trial
  7. Review
  8. Effectiveness of mobile health interventions on physical activity management in frail older adults: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Reporting randomised trials of physical exercise or training interventions in older adults: the PETIO guideline.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Article
  13. Article
  14. Article
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

9 authors.

Zihao He *School of Sport Science, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, China.
Hua Wu *Rehabilitation Medicine Center, The Second Affiliated Hospital of Jiaxing University, No.1518 North Huan Cheng Road, Nanhu District, Jiaxing, China. woohua@live.com.
Guanggao ZhaoSchool of Physical Education, Nanchang University, Nanchang, China.
Yiming ZhangSchool of Sport Science, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, China.
Chao LiSchool of Physical Education, Qingdao University, Qingdao, China.
Yachen XingSchool of Sport Science, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, China.
Anjie XuSchool of Sport Science, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, China.
Junchao YangSchool of Sport Science, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, China.
Ronghui WangSchool of Sport Science, Beijing Sport University, No. 48 Xinxi Road, Haidian District, Beijing, China. wrh_01@163.com.

Funding

Jiaxing major science and technology project 2022AY30007the National Social Science Fund of China Grant No. 21BTY088Zhejiang Provincial Science and Technology Department major research and development project 2022C03177
6 · The paper itself

Abstract

objectiveTo explore the impact of the digital implementation of the Otago Exercise Program (OEP) on balance ability (static and dynamic), muscle strength, and fall efficacy in elderly people; and analyze different potential influencing factors in subgroups to find the most suitable training plan.

methodsEBSCO, PubMed, Web of Science, and China Knowledge Network databases (core) were searched up to August 1, 2023. Experimental studies of implementing OEP based on digital technology to improve outcomes related to falls in the elderly were included. Bias risks were assessed using the Cochrane collaboration tool. Meta-analysis was performed to assess the pooled effect of balance ability (static and dynamic), muscle strength, and fall efficacy using a random effects model. Subgroup analyses were conducted to examine the potential modifying effects of different factors (e.g., training period, frequency, duration, age).

resultsTwelve articles were included from the literature, including 10 randomized controlled trials, one single-group quasi-experimental study, and one case report. Digital technologies used in the studies were categorized into three types: (1) online interventions (Zoom, WeChat), (2) recorded videos (via computers, TVs, DVDs), and (3) wearable technologies (motion sensors, augmented reality systems). The implementation of OEP based on digital technology showed significantly improved on static balance (SMD = 0.86, 95% CI 0.35-1.37), dynamic balance (SMD = 1.07, 95% CI 0.90-1.24), muscular strength (SMD = 0.43, 95% CI 0.17-0.69), and fall efficacy (SMD=-0.70, 95% CI -0.98, -0.41); Subgroup analysis by period '≥12 weeks', frequency '≥3 times/week', and duration '≤45 minutes per session', respectively, showed significant improvements on static balance (SMD = 0.73, 95% CI 0.21-1.25; SMD = 0.86, 95% CI 0.35-1.37; SMD = 1.10, 95% CI 0.31-1.89), dynamic balance (SMD = 1.08, 95% CI 0.88-1.28; SMD = 1.01, 95% CI 0.93-1.27; SMD = 1.07, 95% CI 0.89-1.25), muscle strength (SMD = 0.43, 95% CI 0.10-0.75; SMD = 0.54, 95% CI 0.30-0.77; SMD = 0.53, 95% CI 0.19-0.87), and fall efficacy (SMD=-0.75, 95% CI -1.39, -0.11; SMD=-0.70, 95% CI -0.98, -0.41; SMD=-0.74, 95% CI -1.10, -0.39).

conclusionsOEP implemented through digital technology effectively enhances static and dynamic balance, muscle strength, and self-efficacy in older adults. A training regimen of 12 weeks or more, with sessions occurring three or more times per week for 30 to 45 min, appears to be an effective approach for improving these outcomes based on the available evidence from the included studies. Future research should prioritize specific digital technologies and target populations, employing high-quality research designs to further explore these interventions, and consider new technologies such as wearables, to assess changes in fall prevalence.

Indexed as

Accidental FallsMuscle StrengthPostural BalanceAgedDigital TechnologyExercise TherapyHumansBalanceDigital technologyFall efficacyMuscle strengthOtago Exercise ProgramSeniors

Identifiers

PMID39773392
PMCPMC11707927

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.