Estimating Time to Reinjury Among Washington State Injured Workers by Degree of Permanent Impairment: Using State Wage Data to Adjust for Time at Risk

Details

• Personal Author:
  Fulton-Kehoe D ; Hogg-Johnson S ; Schulman BA ; Sears JM
• Description:
  Background: Many injured workers are reinjured, but reinjury risk is challenging to quantify. Because many injured workers face delayed return-to-work, or return to part-time or intermittent jobs, a calendar timescale may overestimate actual work-time at risk, yielding underestimated reinjury rates. Objectives included determining: (1) reinjury risk by degree of permanent impairment and other factors, and (2) how choice of timescale affects reinjury estimates. Methods: This retrospective cohort study included Washington State workers' compensation (WC) claims for 43,114 injured workers, linked to state wage files (2003-2018). Three timescales were used to define at-risk denominators: (1) calendar quarters; (2) quarters with any wages; and (3) full-time equivalent (FTE) quarters, defined as cumulative work hours ÷ 520. Associations between reinjury outcomes and worker, injury, job, and WC vocational rehabilitation program participation characteristics were assessed using Cox proportional hazards regression. Results: Overall reinjury rates were 5.9 per 100 worker-years using a calendar timescale (95% confidence interval [CI]: 5.8-6.0), 10.0 using any-wage quarters (95% CI: 9.9-10.2), and 12.5 using FTE quarters (95% CI: 12.3-12.7). Reinjury rates were highest in the first two quarters after initial injury, remaining elevated for about 4 years. Using FTE quarters, workers with =10% whole body impairment had a 34% higher risk of reinjury relative to workers with no permanent partial disability award (95% CI: 1.25-1.44); no difference was detected using calendar time. Conclusions: Timescale substantially affects reinjury estimates and comparisons between groups with differential return-to-work patterns. Linking wage data to WC claims facilitates measurement of long-term employment, yielding more accurate reinjury estimates. [Description provided by NIOSH]
• Subjects:
  Cohort Studies Occupational Exposure Occupational Health Risk Assessment Risk Factors Safety
• Keywords:
  Author Keywords: Disability Evaluation Cohort Studies Data Processing Disabled Workers Hazards Information Systems Injuries Occupational Hazards Occupational Injuries Occupations Permanent Impairment Permanent Partial Disability Regression Analysis Reinjury Return To Work Risk Analysis Risk Factors Unemployment Vocational Rehabilitation Workers Workers' Compensation Workers Compensation Work Intervals Work Schedules

  More +
• ISSN:
  0271-3586
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 10 ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  13-25
• Volume:
  64
• Issue:
  1
• NIOSHTIC Number:
  nn:20061488
• Citation:
  Am J Ind Med 2021 Jan; 64(1):13-25
• Contact Point Address:
  Jeanne M. Sears, Department of Health Services, University of Washington, Box 357660, Seattle, WA 98195, USA
• Email:
  jeannes@uw.edu
• Federal Fiscal Year:
  2021
• Performing Organization:
  University of Washington, Seattle
• Peer Reviewed:
  True
• Start Date:
  20180901
• Source Full Name:
  American Journal of Industrial Medicine
• End Date:
  20200831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:77c68773846b93d1fb816bdb54d849610c8fd8ecc4975e244e6f89daa18e26c82bf05d3d33ff40b55fa349b5e78c78900aadff02f2abcac4a40ed195b9650b17
• Download URL:
  https://stacks.cdc.gov/view/cdc/225011/cdc_225011_DS1.pdf
• File Type:
  [PDF - 930.16 KB ]