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Factors influencing the duration of work-related disability: A population- based study of Washington State workers' compensation

Author

Listed:
  • Cheadle, A.
  • Franklin, G.
  • Wolfhagen, C.
  • Savarino, J.
  • Liu, P.Y.
  • Salley, C.
  • Weaver, M.

Abstract

Objectives. The purpose of this study was to examine factors predictive of duration of work-related disability. Methods. Multivariate survival analysis techniques were used to conduct a population-based, retrospective cohort study on a random sample of 28 473 workers' compensation claims from Washington State filed for injuries occurring in 1987 to 1989. The principal outcome measure was length of time for which compensation for lost wages was paid, used as a surrogate for duration of temporary total disability. Results. The findings suggest that, even after adjusting for severity of injury, older age, female gender, and a diagnosis of carpal tunnel syndrome or back/neck sprain significantly predict longer duration of disability. Other predictors that were stable and significant, but involved lower magnitudes of effect included divorced marital status, firm size of fewer than 50 employees, higher county unemployment rates, and construction and agricultural work. Conclusions. Greater disability prevention efforts targeting these higher risk subgroups could have significant economic and public health effects. The greatest impact may be on claimants who remain disabled at 6 months after an injury that did not require hospitalization.

Suggested Citation

  • Cheadle, A. & Franklin, G. & Wolfhagen, C. & Savarino, J. & Liu, P.Y. & Salley, C. & Weaver, M., 1994. "Factors influencing the duration of work-related disability: A population- based study of Washington State workers' compensation," American Journal of Public Health, American Public Health Association, vol. 84(2), pages 190-196.
    • Handle: RePEc:aph:ajpbhl:1994:84:2:190-196_9
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    Cited by:

    1. repec:mpr:mprres:8158 is not listed on IDEAS
    2. Andersen, Signe Hald, 2010. "The cost of sickness: On the effect of the duration of sick leave on post-sick leave earnings," Social Science & Medicine, Elsevier, vol. 70(10), pages 1581-1589, May.
    3. Inna Petrunyk & Christian Pfeifer & Sebastian Fischer & Anita Wiemer, 2015. "Before-After Differences in Labor Market Outcomes for Participants in Medical Rehabilitation in Germany," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 135(4), pages 537-562.
    4. Nan Maxwell & Albert Liu & Nathan Wozny & Caroline Massad Francis, 2013. "Addressing Return-to-Work Issues in the Federal Employees' Compensation Act with Administrative Data," Mathematica Policy Research Reports 8e3f929cbea0422e8272f03ab, Mathematica Policy Research.
    5. Galizzi, Monica & Boden, Leslie I., 2003. "The return to work of injured workers: evidence from matched unemployment insurance and workers' compensation data," Labour Economics, Elsevier, vol. 10(3), pages 311-337, June.
    6. Hogelund, Jan & Holm, Anders, 2006. "Case management interviews and the return to work of disabled employees," Journal of Health Economics, Elsevier, vol. 25(3), pages 500-519, May.
    7. McLaren, Christopher F. & Reville, Robert T. & Seabury, Seth A., 2017. "How effective are employer return to work programs?," International Review of Law and Economics, Elsevier, vol. 52(C), pages 58-73.
    8. Sergio I. Prada & David Salkever & Ellen J. MacKenzie, 2012. "Level-I Trauma Center Effects on Return-to-Work Outcomes," Evaluation Review, , vol. 36(2), pages 133-164, April.
    9. Amélie Speiser, 2021. "Back to work: the effect of a long-term career interruption on subsequent wages in Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-14, December.
    10. repec:mpr:mprres:7900 is not listed on IDEAS
    11. Nan L. Maxwell & Nathan Wozny, "undated". "Risk Factors Associated with Disability Following Work-Related Injuries," Mathematica Policy Research Reports 3cd8cee9c4814af5a406f839c, Mathematica Policy Research.

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