TY - JOUR
T1 - 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
AU - Iles, Ross A.
AU - Sheehan, Luke R.
AU - Gosling, Cameron Mc R.
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2020/5
Y1 - 2020/5
N2 - 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 < 0.001) 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.
AB - 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 < 0.001) 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.
KW - prediction
KW - Return to work
KW - screening
UR - http://www.scopus.com/inward/record.url?scp=85082142985&partnerID=8YFLogxK
U2 - 10.1177/0269215520911417
DO - 10.1177/0269215520911417
M3 - Article
C2 - 32183561
AN - SCOPUS:85082142985
SN - 0269-2155
VL - 34
SP - 656
EP - 666
JO - Clinical Rehabilitation
JF - Clinical Rehabilitation
IS - 5
ER -