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Variations in worker compensation claims by company: the potential for achieving a significant reduction in claims.

Authors
Rosenman-KD; Kalush-A; Reilly-MJ
Source
Am J Ind Med 2007 Jun; 50(6):415-420
NIOSHTIC No.
20032423
Abstract
BACKGROUND: The objective of our study was to examine the potential reduction in paid worker compensation claims if the rate of claims were as low as the rates of the top companies in that industry category. METHODS: Using Michigan data for the years 1999-2001, we first excluded companies who had no paid worker compensation claims for wage replacement and then calculated the top 10th, 25th, and 50th percentile rates of paid worker compensation claims for wage replacement of all the remaining companies combined and by 2 digit SIC. The percent reduction was calculated separately for small (<20 employees) and large companies based on the differences in observed minus expected if all companies did as well as the top companies in their industry grouping. RESULTS: Fifty-nine percent of large companies and 90% of small companies had no paid worker compensation claims for wage replacement over the 3-year period. Controlling for industry type there would have been 91,504 fewer paid workers' compensation claims if all companies with at least one claim did as well as the 10th percentile or better as the companies in their industry grouping. Reductions were found across all industries and for both small and large companies. CONCLUSION: Variations in worker compensation claims between states are highlighted when legislators consider "reforms" to reduce workers' compensation costs. These reforms overlook the larger variation between companies within the same type of industry in the same state. Possible reasons for this variation between companies and its implication on reducing morbidity and health care costs are discussed.
Keywords
Surveillance-programs; Injuries; Occupational-accidents; Statistical-quality-control; Statistical-analysis; Mathematical-models; Work-practices; Worker-health; Work-operations; Health-hazards; Health-surveys
Contact
Kenneth D. Rosenman, Michigan State University, 117 West Fee Hall, East Lansing, MI 48824
CODEN
AJIMD8
Publication Date
20070601
Document Type
Journal Article
Email Address
Rosenman@msu.edu
Funding Amount
666000
Funding Type
Grant
Fiscal Year
2007
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-004276; Cooperative-Agreement-Number-U60-OH-008466
Issue of Publication
6
ISSN
0271-3586
Source Name
American Journal of Industrial Medicine
State
MI
Performing Organization
Michigan State University
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