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Record W2148244315 · doi:10.2340/16501977-1810

Occupational performance and factors associated with outcomes in patients participating in a musculoskeletal pain rehabilitation programme

2014· article· en· W2148244315 on OpenAlexaboutno aff
Elisabeth Persson, Jan Lexell, Marcelo Rivano‐Fischer, Mona Eklund

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2014
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPhysical therapyMedicinePsychological interventionOccupational therapyLogistic regressionAffect (linguistics)Quality of life (healthcare)Activities of daily livingOccupational rehabilitationPsychologyPsychiatryNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess outcomes after a pain rehabilitation programme in terms of occupational performance and satisfaction with occupational performance, and to investigate whether socio-demographic factors and pain-related factors were associated with outcomes at follow-up. METHODS: A pre- and post-test study of 555 participants with musculoskeletal pain who completed a pain rehabilitation programme. The Canadian Occupational Performance Measure (COPM) was used as the primary outcome measure. Socio-demographic and pain-related factors were collected using background questionnaires, the Disability Rating Index (DRI) and the Multidimensional Pain Inventory (MPI). Data were analysed using multivariate logistic regression analyses. RESULTS: Statistically significant improvements were seen on occupational performance and satisfaction with occupational performance at the 1-year follow-up. Female gender, less severe disability, less life interference and more life control predicted improvements 1 year after the programme. High initial scores on occupational performance and satisfaction with performance predicted reduced possibilities for improvements in these respects. CONCLUSION: A pain rehabilitation programme can, for a majority of participants, affect occupational performance and satisfaction with performance. Men and those with more severe pain-related consequences may need additional or modified rehabilitation interventions in order to improve their occupational performance and satisfaction with occupational performance.

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)0.012
metaresearch head score (Gemma)0.055
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 score0.043
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.057
GPT teacher head0.441
Teacher spread0.383 · 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

Citations16
Published2014
Admission routes1
Has abstractyes

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