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Risk Identification and Prediction of Return to Work in Musculoskeletal Disorders

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Handbook of Return to Work

Part of the book series: Handbooks in Health, Work, and Disability ((SHHDW,volume 1))

Abstract

Predicting return to work is an important activity, with significant consequences for individual workers, their employers, insurance carriers, and other stakeholders involved in the management of disabling musculoskeletal disorders. A number of factors from a variety of domains, including personal, workplace, social, and system related have been found associated with return to work, and some prediction tools have been developed that may provide some useful information for predicting return to work. However, caution is recommended regarding widespread use of these tools in clinical practice given the early stages of validity testing and the fact none of the tools have consistently achieved high levels of prediction accuracy.

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Authors and Affiliations

  1. Department of Physical Therapy, University of Alberta, 2-50 Corbett Hall, Edmonton, AB, Canada, T6G 2G4

    Douglas P. Gross & Geoff P. Bostick

  2. School of Public Health, University of Alberta, Edmonton, AB, Canada

    Linda J. Carroll

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  1. Douglas P. Gross
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  2. Geoff P. Bostick
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  3. Linda J. Carroll
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Correspondence to Douglas P. Gross .

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  1. and Special Education, Dept. Edu. and Counselling Psychology, and Special Education, VANCOUVER, British Columbia, Canada

    Izabela Z. Schultz

  2. Department of Psychology, The University of Texas at Arlington, Arlington, Texas, USA

    Robert J. Gatchel

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Gross, D.P., Bostick, G.P., Carroll, L.J. (2016). Risk Identification and Prediction of Return to Work in Musculoskeletal Disorders. In: Schultz, I., Gatchel, R. (eds) Handbook of Return to Work. Handbooks in Health, Work, and Disability, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7627-7_12

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