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Record W3034392497 · doi:10.2196/18415

COVID-19 Modifications for Remote Teleassessment and Teletraining of a Complementary Alternative Medicine Intervention for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial

2020· article· en· W3034392497 on OpenAlexvenueno aff
Byron Lai, Chia-Ying Chiu, Emily Pounds, Tracy Tracy, Tapan Mehta, Hui‐Ju Young, Emily Riser, James H. Rimmer

Bibliographic record

VenueJMIR Research Protocols · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesUniversity of AlabamaUniversity of Alabama at BirminghamPatient-Centered Outcomes Research Institute
KeywordsProtocol (science)Randomized controlled trialMultiple sclerosisIntervention (counseling)Coronavirus disease 2019 (COVID-19)MedicineAlternative medicineFamily medicinePhysical therapyPsychologyMedical physicsNursingPathologyDiseasePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Access to comprehensive exercise and rehabilitation services for people with multiple sclerosis (MS) remains a major challenge, especially in rural, low-income areas. Hence, the Tele-Exercise and Multiple Sclerosis (TEAMS) study aims to provide patient-centered, coordinated care by implementing a 12-week complementary and alternative medicine (CAM) intervention for adults with MS. However, due to the societal impact of coronavirus disease (COVID-19) in mid-March 2020, the University of Alabama at Birmingham announced a limited business model halting all nonessential research requiring on-site visits, which includes the TEAMS study. OBJECTIVE: In compliance with the shelter-in-place policy and quarantine guidance, a modified testing and training protocol was developed to allow participants to continue the study. METHODS: The modified protocol, which replaces on-site data collection and training procedures, includes a teleassessment package (computer tablet, blood pressure cuff, hand dynamometer, mini disc cone, measuring tape, an 8" step, and a large-print 8" × 11" paper with ruler metrics and wall-safe tape) and a virtual meeting platform for synchronous interactive training between the therapist and the participant. The teleassessment measures include resting blood pressure and heart rate, grip strength, Five Times Sit to Stand, Timed Up & Go, and the Berg Balance Scale. The teletraining component includes 20 sessions of synchronous training sessions of dual tasking, yoga, and Pilates exercises designed and customized for a range of functional levels. Teletraining lasts 12 weeks and participants are instructed to continue exercising for a posttraining period of 9 months. RESULTS: The protocol modifications were supported with supplemental funding (from the Patient-Centered Outcomes Research Institute) and approved by the University Institutional Review Board for Human Use. At the time nonessential research visits were halted by the university, there were 759 people enrolled and baseline tested, accounting for 92.5% of our baseline testing completion target (N=820). Specifically, 325 participants completed the 12-week intervention and follow-up testing visits, and 289 participants needed to complete either the intervention or follow-up assessments. A modified analysis plan will include sensitivity analyses to ensure the robustness of the study results in the presence of uncertainty and protocol deviations. Study results are projected to be published in 2021. CONCLUSIONS: This modified remote teleassessment/teletraining protocol will impact a large number of participants with MS who would otherwise have been discontinued from the study. TRIAL REGISTRATION: ClinicalTrials.gov NCT03117881; https://clinicaltrials.gov/ct2/show/NCT03117881. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18415.

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)0.029
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.028
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0150.007
Bibliometrics0.0030.004
Science and technology studies0.0030.004
Scholarly communication0.0060.004
Open science0.0040.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0870.013

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 head0.500
GPT teacher head0.584
Teacher spread0.084 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations39
Published2020
Admission routes1
Has abstractyes

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