Evidence map›Paper›PMID 39658006›Full record

ArticleJMIR serious games2024

Real-Time Digitized Visual Feedback in Exercise Therapy for Lower Extremity Functional Deficits: Qualitative Study of Usability Factors During Prototype Testing.

Klaus Widhalm, Lukas Maul, Sebastian Durstberger, Peter Putz, Carissa Klupper, Franz Werner

Abstract read
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Article in JMIR serious games, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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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

6 authors.

Klaus WidhalmPhysiotherapy, FH Campus Wien, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0000-0001-7076-4100
Lukas MaulResearch Center Digital Health and Care, FH Campus Wien, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0009-0000-3664-7357
Sebastian DurstbergerReseach Center Health Sciences, FH Campus Wien, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0000-0001-5252-9625
Peter PutzReseach Center Health Sciences, FH Campus Wien, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0000-0003-2314-3293
Carissa KlupperPhysiotherapy, FH Campus Wien, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0009-0001-8371-8020
Franz WernerResearch Center Digital Health and Care, FH Campus Wien, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0000-0002-5833-3583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis is one of the most common degenerative diseases of the musculoskeletal system and can ultimately lead to the need for surgery, such as total knee or hip arthroplasty. Functional movement deficits can be a prognostic factor for osteoarthritis in the lower extremities. Thus, training physiological movement patterns may help in the treatment of such functional deficits. Motivation to exercise frequently is of utmost importance and can be promoted by using digital real-time feedback.

objectiveThis qualitative study aims to gather user recommendations for prototype feedback visualizations in a real-time exercise-feedback system called homeSETT for the treatment of functional deficits. The system provides real-time feedback to participants while performing exercises that focus on functional deficits, such as lateral trunk lean, pelvic drop, and valgus thrust. The findings of this study should help to optimize the prototype feedback visualizations. Thus, the main research questions were how patients, physiotherapists, and physicians evaluate the presented, current state of prototype feedback visualizations for selected functional exercises, and what improvements and variations would be recommended.

methodsTesting of the prototype feedback visualizations took place at a movement laboratory using a 3D optoelectronic movement analysis system. Data on usability factors were acquired using the thinking aloud method during and semistructured interviews after prototype testing. Transcribed audio recordings of semistructured interviews as well as scribing logs of the thinking aloud method were examined using qualitative content analysis.

resultsData were analyzed from 9 participants, comprising 2 (22%) patients, 2 (22%) physicians, and 5 (56%) physiotherapists. The mean age of the participants was 45 (SD 9) years and the mean work experience among the participating physiotherapists and physicians was 22 (SD 5) years. Each participant tested 11 different exercise-feedback combinations. Overall, results indicated that participants enjoyed the prototype feedback visualizations and believed that they could be used in therapeutic settings. Participants appreciated the simplicity, clarity, and self-explanatory nature of the feedback visualizations. While most participants quickly familiarized themselves, some struggled to recognize the feedback goals and connect the visualizations to their movements. Recommendations for improvement included optimizing color schemes, sensitivity, and difficulty adjustments. Adding instructional information and game design elements, such as repetition counting and reward systems, was deemed useful. The main study limitations were the small sample size and the use of feedback on performance as the sole feedback modality.

conclusionsThe prototype feedback visualizations were positively perceived by the participants and were considered applicable in therapy settings. Insights were gathered on improving the color scheme, sensitivity, and recognizability of the feedback visualizations. The implementation of additional gamification and instructional elements was emphasized. Future work will optimize the prototype feedback visualizations based on study results and evaluate the homeSETT system's efficacy in eligible patient populations.

Indexed as

digitized visual feedbackexercise therapyfunctional deficitlower extremitymobile phoneosteoarthritisphysiotherapyrehabilitationserious gameusabilityvisualization

Identifiers

PMID39658006
PMCPMC11632893

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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.