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Predicting Return to Work in a Heterogeneous Sample of Recently Injured Workers Using the Brief ÖMPSQ-SF.

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  • 1Sydney Medical School - Northern, University of Sydney & Royal North Shore Hospital, St Leonards, NSW, Australia. michael.nicholas@sydney.edu.au.

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The Örebro Musculoskeletal Pain Screening Questionnaire-short version (ÖMPSQ-SF) effectively predicts delayed return to pre-injury work duties for soft tissue injuries. A score of 48/100 is optimal, but 50/100 is pragmatically acceptable for identifying injured workers needing support.

Keywords:
Psychosocial factorsScreeningWork injuryWorker’s compensation

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Area of Science:

  • Occupational Health
  • Rehabilitation Medicine
  • Pain Management

Background:

  • Work-related soft tissue injuries often lead to significant time off work.
  • Predicting return to work (RTW) is crucial for effective case management and rehabilitation planning.
  • Screening tools are needed to identify injured workers at risk of delayed RTW.

Purpose of the Study:

  • To evaluate the Örebro Musculoskeletal Pain Screening Questionnaire-short version (ÖMPSQ-SF) for predicting time to return to pre-injury work duties (PID) after soft tissue injuries.
  • To assess the suitability of a 50/100 cut-off score on the ÖMPSQ-SF for identifying at-risk individuals.

Main Methods:

  • A cohort of 213 injured workers (IW) with soft tissue injuries were recruited within 5-15 days of injury.
  • The ÖMPSQ-SF was administered via telephone by insurance case managers.
  • Cox proportional hazards regression and ROC analysis were used to analyze RTW prediction and optimal cut-off scores.

Main Results:

  • The ÖMPSQ-SF total score significantly predicted days to PID; each 1-point increase reduced the chance of RTW by 4% (HR=0.96, p<0.001).
  • ROC analysis identified 48/100 as the optimal cut-off for predicting RTW within 2-7 weeks (sensitivity=0.65, specificity=0.79).

Conclusions:

  • The ÖMPSQ-SF is a valuable tool for identifying injured workers likely to experience delayed RTW when used within 15 days of injury.
  • While 48/100 is statistically optimal, a cut-off of 50/100 is pragmatically acceptable for future studies and clinical application.