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Record W4396792402 · doi:10.3233/wor-230665

Translation and initial cross-cultural adaptation of the tool for support-gradual return-to-work for persons with chronic musculoskeletal pain to the Swedish setting

2024· article· en· W4396792402 on OpenAlexaff
Gunilla Liedberg, Mathilda Björk, Marie‐France Coutu, Marie‐José Durand, Christina Turesson

Bibliographic record

VenueWork · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversité de Sherbrooke
FundersMedical Research CouncilReumatikerförbundetForskningsrådet i Sydöstra Sverige
KeywordsContext (archaeology)Adaptation (eye)Scope (computer science)Process (computing)Work (physics)Scale (ratio)Applied psychologyPsychologyKnowledge managementMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: A well-defined and clear procedure is a key factor supporting return-to-work and enhancing collaboration and understanding between employers and employees. The adaptation of the Tool for Support-Gradual Return to Work, TS-GRTW, addresses relevant cultural aspects valuable for wider adoption. OBJECTIVE: develop a Swedish version, the GRTWswe, for implementation and integration into the Swedish labor market's RTW process. This involved translating, culturally adapting, and assessing the appropriateness and utility. METHODS: In the initial step, a double back translation was performed to create an initial translated version. This version was then utilized in individual consultations, accompanied by an agreement questionnaire. For the subsequent step, group consultations were held to refine and customize the tool to suit the Swedish context. Ten occupational therapists completed the questionnaires, with mean agreement scores surpassing three on a four-point scale. Out of these, nine participated in group consultations. RESULTS: The findings suggest the requirement for specific modifications to the GRTWswe. These adaptations are essential because of cultural differences in organizational structures and reference frameworks. Moreover, participants unanimously agreed to broaden the scope of target groups, encompassing employees without regard for diagnosis and expanding the range of professions that can utilize this tool. This step aims to enhance the tool's applicability and usefulness. CONCLUSIONS: The study found strong alignment between questionnaire responses and group consultations outcomes, affirming the adapted tool's suitability for use in a Swedish context. The tool benefits employers and employees by enhancing communication, encouraging collaboration, and structuring processes, promising lasting improvements to work conditions.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.279

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 head0.021
GPT teacher head0.323
Teacher spread0.303 · 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 designOther design
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

Citations2
Published2024
Admission routes1
Has abstractyes

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