Evidence map›Paper›PMID 34730537›Full record

ArticleJMIR formative research2021

A Video Self-Modeling Intervention Using Virtual Reality Plus Physical Practice for Freezing of Gait in Parkinson Disease: Feasibility and Acceptability Study.

Lina Goh, Natalie E Allen, Naseem Ahmadpour, Kaylena A Ehgoetz Martens, Jooeun Song, Lindy Clemson, Simon J G Lewis, Hamish G MacDougall, Colleen G Canning

Abstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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  5. Article
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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.

Lina GohSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-9369-7067
Natalie E AllenSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-3583-8113
Naseem AhmadpourSydney School of Architecture, Design and Planning, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-1818-1930
Kaylena A Ehgoetz MartensDepartment of Kinesiology, Faculty of Health, The University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0002-8488-2295
Jooeun SongSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-9971-0541
Lindy ClemsonSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-2687-1114
Simon J G LewisBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-4093-7071
Hamish G MacDougallSchool of Psychology, Faculty of Science, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-6201-1707
Colleen G CanningSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-7746-0505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite optimal medical and surgical intervention, freezing of gait commonly occurs in people with Parkinson disease. Action observation via video self-modeling, combined with physical practice, has potential as a noninvasive intervention to reduce freezing of gait.

objectiveThe aim of this study is to determine the feasibility and acceptability of a home-based, personalized video self-modeling intervention delivered via a virtual reality head-mounted display (HMD) to reduce freezing of gait in people with Parkinson disease. The secondary aim is to investigate the potential effect of this intervention on freezing of gait, mobility, and anxiety.

methodsThe study was a single-group pre-post mixed methods pilot trial for which 10 participants with Parkinson disease and freezing of gait were recruited. A physiotherapist assessed the participants in their homes to identify person-specific triggers of freezing and developed individualized movement strategies to overcome freezing of gait. 180° videos of the participants successfully performing their movement strategies were created. Participants watched their videos using a virtual reality HMD, followed by physical practice of their strategies in their own homes over a 6-week intervention period. The primary outcome measures included the feasibility and acceptability of the intervention. Secondary outcome measures included freezing of gait physical tests and questionnaires, including the Timed Up and Go Test, 10-meter walk test, Goal Attainment Scale, and Parkinson Anxiety Scale.

resultsThe recruitment rate was 24% (10/42), and the retention rate was 90% (9/10). Adherence to the intervention was high, with participants completing a mean of 84% (SD 49%) for the prescribed video viewing and a mean of 100% (SD 56%) for the prescribed physical practice. One participant used the virtual reality HMD for 1 week and completed the rest of the intervention using a flat-screen device because of a gradual worsening of his motion sickness. No other adverse events occurred during the intervention or assessment. Most of the participants found using the HMD to view their videos interesting and enjoyable and would choose to use this intervention to manage their freezing of gait in the future. Five themes were constructed from the interview data: reflections when seeing myself, my experience of using the virtual reality system, the role of the virtual reality system in supporting my learning, developing a deeper understanding of how to manage my freezing of gait, and the impact of the intervention on my daily activities. Overall, there were minimal changes to the freezing of gait, mobility, or anxiety measures from baseline to postintervention, although there was substantial variability between participants. The intervention showed potential in reducing anxiety in participants with high levels of anxiety.

conclusionsVideo self-modeling using an immersive virtual reality HMD plus physical practice of personalized movement strategies is a feasible and acceptable method of addressing freezing of gait in people with Parkinson disease.

Indexed as

action observationfreezing of gaitParkinson diseasevideo self-modellingvirtual reality

Identifiers

PMID34730537
PMCPMC8600439

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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.