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Record W4306706786 · doi:10.2196/42157

The Impact of COVID-19 Lockdown Restrictions on Exercise Behavior Among People With Multiple Sclerosis Enrolled in an Exercise Trial: Qualitative Interview Study

2022· article· en· W4306706786 on OpenAlexvenueno aff
Louise Palmer, Whitney N. Neal, Robert W. Motl, Deborah Backus

Bibliographic record

VenueJMIR Rehabilitation and Assistive Technologies · 2022
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersMarquette UniversityUniversity of North Carolina at Chapel HillCleveland ClinicPatient-Centered Outcomes Research InstituteMassachusetts General Hospital
KeywordsTelerehabilitationPhysical therapyRehabilitationThematic analysisPhysical medicine and rehabilitationMedicineClinical trialPsychologyQualitative researchTelemedicineHealth care

Abstract

fetched live from OpenAlex

BACKGROUND: During spring and summer 2020, US states implemented COVID-19 pandemic restrictions, resulting in the closure of rehabilitation facilities and, with them, some of the clinical trials that were taking place. One such trial was the Supervised Versus Telerehabilitation Exercise Program for Multiple Sclerosis ("STEP for MS") comparative effectiveness multiple sclerosis (MS) exercise trial. Although 1 study arm was implemented via telerehabilitation, the comparative arm took place in rehabilitation facilities nationwide and was subsequently closed during this time frame. The experience of the STEP for MS participants provides insights into the impact of lockdown restrictions on exercise behavior by mode of exercise delivery (telerehabilitation vs conventional facility based). OBJECTIVE: This study sought to understand the impact of COVID-19 lockdown restrictions on exercise behavior among people with MS enrolled in an exercise trial at the time of the restrictions. METHODS: Semistructured phone and video interviews were conducted with a convenience sample of 8 participants representing both arms of the exercise trial. We applied reflexive thematic analysis to identify, analyze, and interpret common themes in the data. RESULTS: We identified 7 main themes and 2 different narratives describing the exercise experiences during lockdown restrictions. Although the telerehabilitation participants continued exercising without interruption, facility-based participants experienced a range of barriers that impeded their ability to exercise. In particular, the loss of perceived social support gained from exercising in a facility with exercise coaches and other people with MS eroded both the accountability and motivation to exercise. Aerobic exercises via walking were the most impacted, with participants pointing to the need for at-home treadmills. CONCLUSIONS: The unprecedented disruption of COVID-19 lockdown restrictions in spring and summer 2020 impacted the ability of facility-based STEP for MS exercise trial participants to exercise in adherence to the intervention protocol. By contrast, the participants in the telerehabilitation-delivered exercise arm continued exercising without interruption and reported positive impacts of the intervention during this time. Telerehabilitation exercise programs may hold promise for overcoming barriers to exercise for people with MS during COVID-19 lockdown restrictions, and potentially other lockdown scenarios, if the participation in telerehabilitation has already been established.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0030.003
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.101
GPT teacher head0.421
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractyes

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