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

Clin Rehabil. 2020 May;34(5):656-666. doi: 10.1177/0269215520911417. Epub 2020 Mar 17.

Abstract

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.

Keywords: Return to work; prediction; screening.

MeSH terms

  • Absenteeism*
  • Adult
  • Case Management*
  • Cohort Studies
  • Female
  • Humans
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Musculoskeletal Pain / epidemiology*
  • New South Wales
  • Occupational Injuries / epidemiology*
  • Prospective Studies
  • Return to Work*
  • Workers' Compensation*
  • Young Adult