Evidence map›Paper›PMID 39841584›Full record

ArticleJMIR serious games2025

The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study.

Chien-Hsiang Chang, Chun-Chun Wei, Wei-Chih Lien, Tai-Hua Yang, Bo Liu, Yimo Lin, Poh Thong Tan, Yang-Cheng Lin

Abstract read
In one paragraph

Article in JMIR serious games, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Chien-Hsiang ChangDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0002-6337-5577
Chun-Chun WeiDepartment of Creative Design, National Yunlin University of Science and Technology, Yunlin, Taiwan.ORCID http://orcid.org/0009-0003-3752-9012
Wei-Chih Lien *Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0002-7679-8042
Tai-Hua YangDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0001-5068-2570
Bo LiuDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0009-0004-5538-2891
Yimo LinDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0009-0005-3315-7535
Poh Thong TanDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0009-0009-2035-6235
Yang-Cheng Lin *Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0002-2405-9176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aging in older adults results in a decline in physical function and quality of daily life. Due to the COVID-19 pandemic, the exercise frequency among older adults decreased, further contributing to frailty. Traditional rehabilitation using repetitive movements tends not to attract older adults to perform independently. Objective: Intelligent Rehabilitation Exergame System (IRES), a novel retro interactive exergame that incorporates real-time surface electromyography, was developed and evaluated. Methods: Frail older adults were invited to use the IRES for rehabilitation using lower limb training twice per week for 4 weeks. Participants were required to have no mobility or communication difficulties and be willing to complete the 4-week study. The enrolled cohort had baseline scores ranging from 1 to 5 on the Clinical Frailty Scale, as described by Rockwood et al. Three major lower limb movements (knee extension, plantar flexion, and dorsiflexion) were performed 20 times for each leg within 30 minutes. The surface electromyography collected and analyzed muscle potential signals for review by health care professionals to customize the protocol for the next training. The System Usability Scale (SUS) and Taiwanese version of the EuroQol-5 Dimensions (EQ-5D) were administered after completing the first (week 1, baseline) and last training (week 4, one-month follow-up) to evaluate the usability of the IRES and its effects on the quality of life of participants. Results: A total of 49 frail older adults (mean age 74.6 years) were included in the analysis. The usability of the IRES improved according to the mean SUS score, from 82.09 (good) at baseline to 87.14 (good+) at 1-month follow-up. The willingness to use (t96=-4.51; P<.001), learnability (t96=-4.83; P<.001), and confidence (t96=-2.27; P=.02) in working with the IRES increased. After using the IRES for 1 month, significant improvements were observed in the ease of use (t47=2.05; P=.04) and confidence (t47=2.68; P<.001) among participants without previous rehabilitation experience. No sex-based differences in the SUS scores were found at baseline or 1-month follow-up. The quality of life, as assessed by the EQ-5D, improved significantly after 1 month of IRES training compared to that at baseline (t96=6.03; P<.001). Conclusions: The novel IRES proposed in this study received positive feedback from frail older adults. Integrating retro-style exergame training into rehabilitation not only improved their rehabilitation motivation but also increased their learning, system operability, and willingness to continue rehabilitation. The IRES provides an essential tool for the new eHealth care service in the post-COVID-19 era.

Indexed as

eHealth careexergamefrailtyintelligent rehabilitationolder adultsreminiscence therapy

Identifiers

PMID39841584
PMCPMC11774325

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.