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From Evidence to Community Practice in Work Rehabilitation: The Quebec Experience

2003· article· en· W1988648091 on OpenAlexaffabout
Patrick Loisel, Marie‐José Durand, Binta Diallo, Brigitte Vachon, Nicole Charpentier, Josée Labelle

Bibliographic record

VenueClinical Journal of Pain · 2003
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversité de SherbrookeHôpital Charles-Le Moyne
Fundersnot available
KeywordsRehabilitationMedicinePopulationRandomized controlled trialQuality of life (healthcare)Physical therapyWork (physics)Low back painGerontologyFamily medicineNursingAlternative medicineEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The causes of prolonged disability due to back pain are multiply determined, involving medical, social, and environmental factors. Possible solutions to the problem of prolonged back pain disability have emerged from recent research but few efforts have been made to transfer evidence-based programs to large community settings. OBJECTIVE: This article describes three phases of the process of transfer of evidence from rehabilitation research to community practice in the province of Quebec. METHODS AND RESULTS: Phase A: Based on literature review and expert knowledge, the Sherbrooke model was developed and assessed through a population-based, randomized clinical trial. Results at 1-year follow-up showed quicker return to regular work and improvement of quality of life; the 6-year follow-up showed the cost-effectiveness of the method. Phase B: Based on the Sherbrooke model experience and recent evidence, a new program addressing the disability paradigm was developed and implemented in the province of Quebec (Canada). Results at 1- and 3-year follow-ups showed that only 24% of workers were not working owing to their musculoskeletal disorder. The program is presently being tested through a population-based, randomized clinical trial in a population of construction workers. Phase C: To implement the program at a provincial level, a network for management, research and education in work rehabilitation was developed. An external assessment is presently planned to evaluate return to work and economic outcomes and quality of implementation of the program in various settings.

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)0.027
metaresearch head score (Gemma)0.297
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0270.297
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 integrity0.0000.001
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 head0.072
GPT teacher head0.449
Teacher spread0.376 · 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.

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

Citations70
Published2003
Admission routes2
Has abstractyes

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