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Return to work helps maintain treatment gains in the rehabilitation of whiplash injury

2017· article· en· W2586866307 on OpenAlexafffund
Michael Sullivan, Heather Adams, Pascal Thibault, Emily Moore, Junie S. Carrière, Christian Larivière

Bibliographic record

VenuePain · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travailMcGill University
FundersCanadian Institutes of Health Research
KeywordsWhiplashRehabilitationPhysical therapyDepression (economics)Pain catastrophizingPhysical medicine and rehabilitationMedicineIntervention (counseling)Work (physics)Injury preventionRange of motionChronic painPsychologyPoison controlPsychiatryMedical emergency

Abstract

fetched live from OpenAlex

This study examined the relation between return to work and the maintenance of treatment gains made over the course of a rehabilitation intervention. The study sample consisted of 110 individuals who had sustained whiplash injuries in rear collision motor vehicle accidents and were work-disabled at the time of enrolment in the study. Participants completed pre- and post-treatment measures of pain severity, disability, cervical range of motion, depression, posttraumatic stress symptoms, and catastrophizing. Pain severity was assessed again at 1-year follow-up. At 1-year follow-up, 73 participants had returned to work and 37 remained work-disabled. Analyses revealed that participants who returned to work were more likely to maintain treatment gains (77.5%) than participants who remained work-disabled (48%), χ = 6.3, P < 0.01. The results of a regression analysis revealed that the relation between return to work and the maintenance of treatment gains remained significant (β = 0.30, P < 0.01), even when controlling for potential confounders such as pain severity, restricted range of motion, depression, and pain catastrophizing. The Discussion addresses the processes by which prolonged work-disability might contribute to the failure to maintain treatment gains. Important knowledge gaps still remain concerning the individual, workplace, and system variables that might play a role in whether or not the gains made in the rehabilitation of whiplash injury are maintained. Clinical implications of the findings are also addressed.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.332
Teacher spread0.311 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2017
Admission routes2
Has abstractyes

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