Assessment of a new tool to improve case manager identification of delayed return to work in the first two weeks of a workers’ compensation claim
Autor: | Cameron McR. Gosling, Luke Sheehan, Ross Iles |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male 030506 rehabilitation Physical Therapy Sports Therapy and Rehabilitation Workers' compensation Return to work Cohort Studies Young Adult 03 medical and health sciences Return to Work 0302 clinical medicine Musculoskeletal Pain Absenteeism Humans Operations management Longitudinal Studies Prospective Studies 030212 general & internal medicine Prospective cohort study Pace Rehabilitation Case manager Middle Aged Occupational Injuries Identification (information) Logistic Models Action (philosophy) Work (electrical) Workers' Compensation Female New South Wales 0305 other medical science Psychology Case Management |
Zdroj: | Clinical Rehabilitation. 34:656-666 |
ISSN: | 1477-0873 0269-2155 |
Popis: | Objective: To determine whether the Plan of Action for a Case (PACE) tool improved identification of workers at risk of delayed return to work. Design: Prospective cohort of workers with accepted workers’ compensation claims in the state of New South Wales, Australia. Interventions: The 41-item PACE tool was completed by the case manager within the first two weeks of a claim. The tool gathered information from the worker, employer and treating practitioner. Multivariate logistic regression models predicted work time loss of at least one and three months. Results: There were 524 claimants with complete PACE information. A total of 195 (37.2%) had work time loss of at least one month and 83 (15.8%) had time loss of at least three months. Being male, injury location, an Orebro Musculoskeletal Pain Screening Questionnaire–Short Form score >50, having a small employer, suitable duties not being available, being certified unfit, and the worker having low one-month recovery expectations predicted time loss of over one month. For three months, injury location, a Short Form Orebro score >50, no return-to-work coordinator, and being certified unfit were significant predictors. The model incorporating PACE information provided a significantly better prediction of both one- and three-month outcomes than baseline information (area-under-the-curve statistics—one month: 0.85 and 0.68, respectively; three months: 0.85 and 0.69, respectively; both P Conclusion: The PACE tool improved the ability to identify workers at risk of ongoing work disability and identified modifiable factors suited to case manager–led intervention. |
Databáze: | OpenAIRE |
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