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Record W2007244784 · doi:10.3138/physio.62.4.316

An Interdisciplinary Pain Rehabilitation Programme: Description and Evaluation of Outcomes

2010· article· en· W2007244784 on OpenAlexaffvenue
Dan Bosy, David Etlin, David T. Corey, John W. Lee

Bibliographic record

VenuePhysiotherapy Canada · 2010
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsTrillium Health CentreOntario Medical AssociationCanadian Physiotherapy AssociationToronto Public Health
Fundersnot available
KeywordsMedicinePhysical therapyChronic painRehabilitationAnxietyDepression (economics)Intervention (counseling)CohortPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this archival report is to describe the essential elements of an intensive 8-week interdisciplinary pain rehabilitation programme (IPRP) with a cognitive-behavioural emphasis and the results that can be expected in treating patients with chronic pain conditions. METHOD: This report describes a private outpatient program providing treatment services to patients with long-term disabling pain arising from work- or accident-related musculoskeletal injuries. The cohort consists of 338 consecutive patients who completed the program over a 3-year period (patients discharged between January 1, 2005, and December 31, 2007). RESULTS: Improvements in vocational status were noted in 75% of patients with chronic pain. Patients were also able to reduce their pain levels by approximately 16% and to reduce their levels of anxiety and depression by 13% and 17% respectively. At the same time, 61% of patients were able to reduce or eliminate their pain medications. CONCLUSIONS: Outcomes are consistent with evidence-based clinical practice guidelines for the management of chronic pain conditions. The published literature supports the efficacy of this interdisciplinary approach in highly disabled patients for whom effective treatment has been delayed. Early intervention in the subacute phase is recommended for prevention of long-term disability in patients with chronic 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.945

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 studies0.0000.000
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 head0.012
GPT teacher head0.347
Teacher spread0.335 · 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

Citations31
Published2010
Admission routes2
Has abstractyes

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