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

Nicholas, M. K. (författare)
Sydney Medical School - Northern, University of Sydney & Royal North Shore Hospital, St Leonards, NSW, Australia
Costa, D. S. J. (författare)
Sydney Medical School - Northern, University of Sydney & Royal North Shore Hospital, St Leonards, NSW, Australia
Linton, Steven J., 1952- (författare)
Örebro universitet,Institutionen för juridik, psykologi och socialt arbete,CHAMP
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Main, C. J. (författare)
Arthritis Care UK Primary Care Centre, Keele University, North Staffordshire, UK
Shaw, W. S. (författare)
University of Connecticut Health Center, Farmington, CT, USA
Pearce, R. (författare)
Sydney Medical School - Northern, University of Sydney & Royal North Shore Hospital, St Leonards, NSW, Australia
Gleeson, M. (författare)
Sydney Medical School - Northern, University of Sydney & Royal North Shore Hospital, St Leonards, NSW, Australia
Pinto, R. Z. (författare)
Sydney Medical School - Northern, University of Sydney & Royal North Shore Hospital, St Leonards, NSW, Australia
Blyth, F. M. (författare)
School of Public Health, Concord Clinical School, University of Sydney, Sydney, NSW, Australia
McCauley, J. H. (författare)
Neuroscience Research Australia and School of Medical Sciences, University of NSW, Sydney, NSW, Australia
Maher, C. G. (författare)
The George Institute, Sydney Medical School, University of Sydney, Sydney, Australia
Smeets, R. J. E. M. (författare)
Department of Rehabilitation Medicine, Caphri, Maastricht University, Maastricht, The Netherlands; Department of Rehabilitation Medicine, Caphri, Maastricht University, Maastricht, The Netherlands
McGarity, A. (författare)
Injury Management, Health & Safety Branch, NSW Fire and Safety, Sydney, Australia
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 (creator_code:org_t)
2018-05-23
2019
Engelska.
Ingår i: Journal of occupational rehabilitation. - : Springer. - 1053-0487 .- 1573-3688. ; 29:2, s. 295-302
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Purpose: (1) to examine the ability of the Örebro Musculoskeletal Pain Screening Questionnaire-short version (ÖMPSQ-SF) to predict time to return to pre-injury work duties (PID) following a work-related soft tissue injury (regardless of body location); and (2) to examine the appropriateness of 50/100 as a suitable cut-off score for case identification.Methods: Injured workers (IW) from six public hospitals in Sydney, Australia, who had taken medically-sanctioned time off work due to their injury, were recruited by insurance case managers within 5-15 days of their injury. Eligible participants (N = 213 in total) were administered the ÖMPSQ-SF over the telephone by the case manager. For objective (1) Cox proportional hazards regression analysis was used to predict days to return to PID using the ÖMPSQ-SF. For objective (2) receiver operator characteristic (ROC) analysis was used to determine the ÖMPSQ-SF total score that optimises sensitivity and specificity in detecting whether or not participants had returned to PID within 2-7 weeks.Results: The total ÖMPSQ-SF score significantly predicted number of days to return to PID, such that for every 1-point increase in the total ÖMPSQ-SF score the predicted chance of returning to work reduced by 4% (i.e., hazard ratio = 0.96), p < 0.001. Sensitivity and specificity for the ROC analysis comparing ÖMPSQ-SF total score to return to PID within 2-7 weeks suggested 48 as the optimal cut off (sensitivity = 0.65, specificity = 0.79).Conclusion: The results provide strong support for the use of the ÖMPSQ-SF in an applied setting for identifying those IW likely to have delayed RTW when administered within 15 days of the injury. While a score of 48/100 was the optimal cut point for sensitivity and specificity, pragmatically, 50/100 should be acceptable as a cut-off in future studies of this type.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Allmänmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- General Practice (hsv//eng)

Nyckelord

Psychosocial factors
Screening
Work injury
Worker’s compensation

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