Literature DB >> 29796980

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

M K Nicholas1, D S J Costa2, S J Linton3, C J Main4, W S Shaw5, R Pearce2, M Gleeson2, R Z Pinto2, F M Blyth6, J H McCauley7, C G Maher8, R J E M Smeets9,10, A McGarity11.   

Abstract

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.

Entities:  

Keywords:  Psychosocial factors; Screening; Work injury; Worker’s compensation

Year:  2019        PMID: 29796980     DOI: 10.1007/s10926-018-9784-8

Source DB:  PubMed          Journal:  J Occup Rehabil        ISSN: 1053-0487


  27 in total

1.  Health, absence, disability, and presenteeism cost estimates of certain physical and mental health conditions affecting U.S. employers.

Authors:  Ron Z Goetzel; Stacey R Long; Ronald J Ozminkowski; Kevin Hawkins; Shaohung Wang; Wendy Lynch
Journal:  J Occup Environ Med       Date:  2004-04       Impact factor: 2.162

2.  Prognostic factors for duration of sickness absence due to musculoskeletal disorders.

Authors:  Freek Lötters; Alex Burdorf
Journal:  Clin J Pain       Date:  2006-02       Impact factor: 3.442

3.  Investigating risk factors for chronicity: the importance of distinguishing between return-to-work status and self-report measures of disability.

Authors:  Nathalie Gauthier; Michael J L Sullivan; Heather Adams; William D Stanish; Pascal Thibault
Journal:  J Occup Environ Med       Date:  2006-03       Impact factor: 2.162

Review 4.  Prognostic factors for musculoskeletal pain in primary care: a systematic review.

Authors:  Christian D Mallen; George Peat; Elaine Thomas; Kate M Dunn; Peter R Croft
Journal:  Br J Gen Pract       Date:  2007-08       Impact factor: 5.386

5.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

6.  Discographic, MRI and psychosocial determinants of low back pain disability and remission: a prospective study in subjects with benign persistent back pain.

Authors:  Eugene J Carragee; Todd F Alamin; Jonothan L Miller; John M Carragee
Journal:  Spine J       Date:  2005 Jan-Feb       Impact factor: 4.166

Review 7.  The fear-avoidance model of musculoskeletal pain: current state of scientific evidence.

Authors:  Maaike Leeuw; Mariëlle E J B Goossens; Steven J Linton; Geert Crombez; Katja Boersma; Johan W S Vlaeyen
Journal:  J Behav Med       Date:  2006-12-20

8.  Early identification of patients at risk of developing a persistent back problem: the predictive validity of the Orebro Musculoskeletal Pain Questionnaire.

Authors:  Steven J Linton; Katja Boersma
Journal:  Clin J Pain       Date:  2003 Mar-Apr       Impact factor: 3.442

Review 9.  A systematic review of the predictive ability of the Orebro Musculoskeletal Pain Questionnaire.

Authors:  Rowena L Hockings; James H McAuley; Christopher G Maher
Journal:  Spine (Phila Pa 1976)       Date:  2008-07-01       Impact factor: 3.468

10.  A primary care back pain screening tool: identifying patient subgroups for initial treatment.

Authors:  Jonathan C Hill; Kate M Dunn; Martyn Lewis; Ricky Mullis; Chris J Main; Nadine E Foster; Elaine M Hay
Journal:  Arthritis Rheum       Date:  2008-05-15
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  5 in total

1.  Implementation of Early Intervention Protocol in Australia for 'High Risk' Injured Workers is Associated with Fewer Lost Work Days Over 2 Years Than Usual (Stepped) Care.

Authors:  M K Nicholas; D S J Costa; S J Linton; C J Main; W S Shaw; G Pearce; M Gleeson; R Z Pinto; F M Blyth; J H McAuley; R J E M Smeets; A McGarity
Journal:  J Occup Rehabil       Date:  2020-03

Review 2.  Barriers and Facilitators Associated with Return to Work Following Minor to Serious Road Traffic Musculoskeletal Injuries: A Systematic Review.

Authors:  Masoumeh Abedi; Elise Gane; Tammy Aplin; Haroun Zerguine; Venerina Johnston
Journal:  J Occup Rehabil       Date:  2021-07-09

3.  Pain-related beliefs are associated with arm function in persons with frozen shoulder.

Authors:  L De Baets; T Matheve; J Traxler; Jws Vlaeyen; A Timmermans
Journal:  Shoulder Elbow       Date:  2020-05-05

4.  Risk assessment for prolonged sickness absence due to musculoskeletal disorders: protocol for a prospective cohort study.

Authors:  Anne Therese Tveter; Britt Elin Øiestad; Tarjei Langseth Rysstad; Fiona Aanesen; Alexander Tingulstad; Milada Cvancarova Småstuen; Margreth Grotle
Journal:  BMC Musculoskelet Disord       Date:  2020-05-25       Impact factor: 2.362

5.  Factors associated with long term work incapacity following a non-catastrophic road traffic injury: analysis of a two-year prospective cohort study.

Authors:  Christopher Papic; Annette Kifley; Ashley Craig; Genevieve Grant; Alex Collie; Ilaria Pozzato; Belinda Gabbe; Sarah Derrett; Trudy Rebbeck; Jagnoor Jagnoor; Ian D Cameron
Journal:  BMC Public Health       Date:  2022-08-05       Impact factor: 4.135

  5 in total

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