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Cited by 255

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

How many injured workers do not file claims for workers' compensation benefits?

Shannon, Harry S., Lowe, Graham S.·2002·American Journal of Industrial Medicine

Abstract

Background: Anecdotal evidence suggests that there are injured workers who do not file for workers' compensation (WC). Several recent studies support this, and we aim to quantify the extent of under‐reporting. Methods: A Canadian survey asked about work injuries in the previous year, and several questions established eligibility for WC and whether a claim had been filed. The proportion of eligible injuries with a claim was estimated. Logistic regression identified predictors of claim submission. Results: Of 2,500 respondents, 143 had incurred an eligible injury, of whom 57 (40%, 95% CI 32–48%) had not filed a WC claim. Severity of injury was the strongest predictor of not claiming. Conclusions: Survey respondents reported a substantial degree of under‐claiming of WC benefits, contrasting with public attention on fraudulent over‐claiming. Policy makers should ensure that all relevant parties are aware of their obligations to report work injuries. This will create a more accurate picture of work safety. Am. J. Ind. Med. 42:467–473, 2002. © 2002 Wiley‐Liss, Inc.

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Metadata

Authors
Shannon, H. S., & Lowe, G. S.
Venue
American Journal of Industrial Medicine
Publisher
Wiley
Published
2002-11-18
Volume
42
Issue
6
Pages
467-473
ISSN
  • 0271-3586 (ISSN-L)
  • 1097-0274
OpenAlex
W2129976196
Cited by
255
References
6
FWCI
40.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How many injured workers do not file claims for workers' compensation benefits? https://app.cochat.ai/papers/10.1002/ajim.10142
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Shannon, H. S., & Lowe, G. S. (2002). How many injured workers do not file claims for workers' compensation benefits? American Journal of Industrial Medicine. https://doi.org/10.1002/ajim.10142

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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