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Record W2784142734 · doi:10.1186/s13063-017-2416-3

FIT for FUNCTION: study protocol for a randomized controlled trial

2018· article· en· W2784142734 on OpenAlexafffund
Julie Richardson, Ada Tang, Gordon Guyatt, Lehana Thabane, Feng Xie, Demetrios J. Sahlas, Robert G. Hart, Rebecca Fleck, Genevieve Hladysh, Louise MacRae

Bibliographic record

VenueTrials · 2018
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsJoseph Brant HospitalPopulation Health Research InstituteHamilton Health SciencesImpactHamilton General HospitalSt. Joseph’s Healthcare HamiltonPrograms for Assessment of Technology in Health Research InstituteMcMaster University
FundersCanadian Institutes of Health Research
KeywordsMedicinePhysical therapyRandomized controlled trialQuality of life (healthcare)Glycated hemoglobinPhysical medicine and rehabilitationStroke (engine)PosturographyGerontologyBalance (ability)Diabetes mellitusType 2 diabetesInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The current state of evidence suggests that community-based exercise programs are beneficial in improving impairment, function, and health status, and are greatly needed for persons with stroke. However, limitations of these studies include risk of bias, feasibility, and cost issues. METHODS/DESIGN: This single-blinded, randomized controlled trial (RCT) of 216 participants with stroke will compare the effectiveness of a 12-week YMCA community-based wellness program (FIT for FUNCTION) specifically designed for community-dwelling persons with stroke to persons who receive a standard YMCA membership. The primary outcome will be community reintegration using the Reintegration to Normal Living Index at 12 and 24 weeks. Secondary outcomes include measurement of physical activity level using the Rapid Assessment of Physical Activity and accelerometry; balance using the Berg Balance Scale; lower extremity function using the Short Physical Performance Battery; exercise capacity using the 6-min walk test; grip strength and isometric knee extension strength using hand held dynamometry; and health-related quality of life using the European Quality of Life 5-Dimension Questionnaire. We are also assessing cardiovascular health and lipids; glucose and inflammatory markers will be collected following 12-h fast for total cholesterol, insulin, glucose, and glycated hemoglobin. Self-efficacy for physical activity will be assessed with a single question and self-efficacy for managing chronic disease will be assessed using the Stanford 6-item Scale. The Patient Activation Measure will be used to assess the patient's level of knowledge, skill, and confidence for self-management. Healthcare utilization and costs will be evaluated. Group, time, and group × time interaction effects will be estimated using generalized linear models for continuous variables, including relevant baseline variables as covariates in the analysis that differ appreciably between groups at baseline. Cost data will be treated as non-parametric and analyzed using a Mann-Whitney U test. DISCUSSION: This is a RCT with broad study eligibility criteria intended to recruit a wide spectrum of individuals living in the community with stroke. If positive benefits are demonstrated, results will provide strong research evidence to support the implementation of structured, community-based exercise and education/self-management programs for a broad range of people living in the community with stroke. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02703805 . Registered on 14 October 2014.

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)0.054
metaresearch head score (Gemma)0.058
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 score0.158
Threshold uncertainty score0.530

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0540.058
Meta-epidemiology (narrow)0.0100.005
Meta-epidemiology (broad)0.0190.009
Bibliometrics0.0040.008
Science and technology studies0.0060.005
Scholarly communication0.0080.006
Open science0.0050.003
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.1580.028

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 head0.169
GPT teacher head0.482
Teacher spread0.314 · 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

Citations24
Published2018
Admission routes2
Has abstractyes

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