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Work-Related Recovery Expectations and the Prognosis of Chronic Low Back Pain Within a Workers??? Compensation Setting

2005· article· en· W1990186631 on OpenAlexaff
Douglas P. Gross, Michele Crites Batti

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsWorkers Compensation Board of AlbertaUniversity of Alberta
Fundersnot available
KeywordsMedicineConfidence intervalLogistic regressionPhysical therapyProportional hazards modelCohortBack painProspective cohort studyChronic painCohort studyWorkers' compensationCompensation (psychology)SurgeryPsychologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We examined the association between work-related recovery expectations and return-to-work in patients with chronic back pain. METHODS: A prospective cohort of workers receiving time-loss benefits for back pain of at least 6 weeks' duration was studied. Workers completed a battery of measures, including a work-related recovery expectations questionnaire. Outcomes included surrogate indicators of timely return-to-work (days until suspension of time-loss benefits) and recovery (claim closure) censored at 1 year. Analysis included multivariable Cox and logistic regression. RESULTS: The sample was predominantly male (63%), with a mean age of 42 years. Positive work-related recovery expectations predicted a 26% faster suspension of time-loss benefits (95% confidence interval = 8-40%) and explained 7% of the variation in this outcome. CONCLUSION: Recovery expectations provide important information for predicting time to return-to-work, as measured through suspension of time-loss benefits (R approximately 7%) in patients with chronic back pain.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.230
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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

Citations78
Published2005
Admission routes1
Has abstractyes

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