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Record W2001220126 · doi:10.1375/jdmr.1.1.21

A Systematic Review of Workplace Rehabilitation Interventions for Work-Related Low Back Pain

2006· review· en· W2001220126 on OpenAlexaff
Renee Williams, Muriel G. Westmorland, Chia-Yu Lin, Gloria Schmuck

Bibliographic record

VenueInternational Journal of Disability Management · 2006
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsGrand River HospitalMcMaster University
Fundersnot available
KeywordsPsychological interventionCINAHLRehabilitationMedicineMEDLINEPhysical therapySystematic reviewLow back painWork (physics)NursingAlternative medicine

Abstract

fetched live from OpenAlex

Abstract This article describes the process and outcome of a systematic review that evaluated the effectiveness of workplace rehabilitation interventions for work-related low back pain (LBP). Between 1982 and 2005 CINAHL, MEDLINE, EMBASE and AMED databases were searched for studies of interventions that were provided at the workplace for workers with LBP. Using methodological quality appraisal 5 reviewers scrutinised the articles. A total of 1224 articles were reviewed and 15 articles, consisting of 10 studies, were deemed of sufficient quality to be included. The best evidence was clinical interventions with occupational interventions, as well as early return to work/modified work interventions, were effective in returning workers to work earlier, reducing pain and disability, and decreasing the rate of back injuries. Ergonomic interventions were also found to be effective workplace interventions.

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)0.016
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.054
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.006
Bibliometrics0.0140.014
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.023
GPT teacher head0.373
Teacher spread0.350 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations10
Published2006
Admission routes1
Has abstractyes

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