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Record W3208347973 · doi:10.1136/oem-2021-epi.91

O-202 Workers on Prolonged Work Disability for Musculoskeletal Disorders do not worry for nothing

2021· article· en· W3208347973 on OpenAlexaff
Marie‐France Coutu, Marie‐José Durand, Fergal O’Hagan, Patrick Gosselin, Iuliana Nastasia, Djamal Berbiche, Marie-Élise Labrecque, Sara Pettigrew

Bibliographic record

VenueOral Presentations · 2021
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsWorryRehabilitationPhysical therapyMedicineWork (physics)Margin (machine learning)WorkloadCohortPhysical medicine and rehabilitationPsychologyPsychiatryAnxietyComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Workers worry during prolonged work disability, but do their worries relate to their actual work disability situation? <h3>Objective</h3> The aim of this study was to assess worries and their maintaining factors, while considering the margin of maneuver/leeway at work and their impact on return to work (RTW). <h3>Methods</h3> We conducted a cohort study with a convenience sample of 79 (39 men and 40 women) workers having persistent (≥3 months) work-related musculoskeletal disorders causing absence from their regular work. Following Dugas’ theory validated self-administered questionnaires (ex.: intolerance of uncertainty, utility of worrying) were completed at the beginning and the end of the work rehabilitation program. Also, the questionnaire on type of worries (QTW) assessed specific types of worries and their relationship to work. Trained occupational therapists, (n = 16) evaluated the margin of maneuver of all workers. Multivariate analyses were performed on RTW predicted by workers’ indicators and occupational therapists’ margin of maneuver. <h3>Results</h3> <h3>Twenty-one workers did not RTW</h3> The model predicted 54% of the variance in N-RTW (p .0001). Significant factors explaining N-RTW were: lack of a margin of maneuver (OR = 8.5; p = .008); high intolerance for uncertainties (OR = 1.12; p = .01), perceived utility of worrying (OR = 1.11; p .001), and for the QTW scores, a high mean intensity of worries (OR = 2; p = .004) emerging from actual situations (OR = 17.15; p = .02) occurring at work (OR = 8.5). A posthoc analysis (pseudo R2 = .33; p = ) shows that a lack of a margin of maneuver is associated with QTW scores of worries emerging from uncertainties at work. <h3>Conclusion</h3> Workers not returning to work worry about actual situations at work, but this is also associated with low margin of maneuver, assessed by occupational therapists. Thus, RTW interventions should focus on the work environment.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.052
GPT teacher head0.440
Teacher spread0.388 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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