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Record W4231261954 · doi:10.21203/rs.2.12498/v1

Feasibility cluster randomised controlled trial evaluating a theory-driven group-based complex intervention versus usual physiotherapy to support self-management of osteoarthritis and low back pain (SOLAS)

2019· preprint· en· W4231261954 on OpenAlexaff
Deirdre A. Hurley, Isabelle Jeffares, Amanda Häll, Alison Keogh, Elaine Toomey, Danielle McArdle, Chris Lonsdale, Suzanne McDonough, Suzanne Guérin, Ricardo Segurado, James Matthews

Bibliographic record

VenueResearch Square · 2019
Typepreprint
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMemorial University of Newfoundland
FundersHealth Service ExecutiveHealth Research Board
KeywordsPhysical therapyMedicineCluster randomised controlled trialOsteoarthritisIntervention (counseling)Randomized controlled trialThematic analysisCluster (spacecraft)Descriptive statisticsLow back painPhysical medicine and rehabilitationQualitative researchAlternative medicineNursingSurgery

Abstract

fetched live from OpenAlex

Abstract Background The Self-management of Osteoarthritis (OA) and Low back pain (LBP) through Activity and Skills (SOLAS) theory-driven group-based complex intervention was developed primarily for the evaluation of its acceptability to patients and physiotherapists and the feasibility of trial procedures, to inform the potential for a definitive trial. Methods This assessor-blinded multicentre two-arm parallel cluster randomised controlled feasibility trial compared the SOLAS intervention to usual individual physiotherapy (UP; pragmatic control group). Patients with OA of the hip, knee, lumbar spine and/or chronic LBP were recruited in primary care physiotherapy clinics (i.e. clusters) in Dublin, Ireland between September 2014 and November 2015. The primary feasibility objectives were evaluated using quantitative methods and individual telephone interviews with purposive samples of participants and physiotherapists. A range of secondary outcomes were collected at baseline, 6 weeks (behaviour change only), 2 months and 6 months to explore the preliminary effects of the intervention. Analysis was by intention-to-treat according to participants’ cluster allocation and involved descriptive analysis of the quantitative data and inductive thematic analysis of the qualitative interviews. A linear mixed model was used to contrast change over time in participant secondary outcomes between treatment arms, while adjusting for study waves and clusters. Results 14 clusters were recruited (7 per trial arm), each cluster participated in two waves of recruitment, with the average cluster size below the target of six participants (Intervention: mean (SD) =4.92 (1.31), range 2-7; UP: mean (SD) =5.08 (2.43), range 1-9). 120 participants (83.3% of n=144 expected) were recruited (Intervention n=59; UP n=61), with follow up data obtained from 80.8% (n=97) at 6 weeks, 84.2% (n=101) at 2 months and 71.7% (n=86) at 6 months. Most participants received treatment as allocated (Intervention n=49; UP n=54). The qualitative interviews (12 participants; 10 PTs) found the Intervention and trial procedures acceptable and appropriate, with minimal feasible adaptations required. Linear mixed methods showed improvements in most secondary outcomes at 2 and 6 months with small between group effects. Conclusions While the SOLAS intervention and trial procedures were acceptable to participants and PTs, the recruitment of enough participants is the biggest obstacle to a definitive trial. Trial Registration: ISRCTN Registry, ISRCTN49875385, Registered 26 March 2014. https://doi.org/10.1186/ISRCTN49875385

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)0.017
metaresearch head score (Gemma)0.025
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: none
Teacher disagreement score0.017
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.064
GPT teacher head0.442
Teacher spread0.378 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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