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Record W2734962203 · doi:10.1186/s40814-017-0158-3

Feasibility of the trial procedures for a randomized controlled trial of a community-based peer-led wheelchair training program for older adults

2017· article· en· W2734962203 on OpenAlexafffund
Krista L. Best, William C. Miller, François Routhier, Janice J. Eng

Bibliographic record

VenuePilot and Feasibility Studies · 2017
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of British ColumbiaCentre for Interdisciplinary Research in RehabilitationUniversité Laval
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health Research
KeywordsWheelchairRandomized controlled trialPhysical therapyPhysical medicine and rehabilitationTraining (meteorology)PsychologyMedicineComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: A novel peer-led manual wheelchair (MWC) training program may support the training needs of older adults, but establishing program feasibility is a pragmatic first step. The purpose of this study was to evaluate the feasibility of a peer-led Wheelchair training Self-Efficacy Enhanced for Use (WheelSeeU) program. METHODS: Forty MWC users (mean age 65 years) were randomly assigned to the experimental (WheelSeeU) or control group. Feasibility indicators of process, resources, management, and safety were collected throughout the study. RESULTS: The consent rate was 49%. Participant retention rate was 90% post-intervention and 87.5% at follow-up (6 months). All participants reported perceived benefits from WheelSeeU. Participants and trainers adhered to the study protocol (>90%), and fidelity of the WheelSeeU intervention was attained (>90%). There were no adverse events. CONCLUSIONS: WheelSeeU is an innovative and feasible approach for providing MWC training to older adults that is accessible beyond initial rehabilitation without increased clinician burden. With minor modifications, it is feasible that WheelSeeU can be administered to older adults living in the community. TRIAL REGISTRATION: NCT01838135.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.094
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.094
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.319
GPT teacher head0.500
Teacher spread0.181 · 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 teacher head, not a consensus.

Study designRandomized trial
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

Citations18
Published2017
Admission routes2
Has abstractyes

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