Development of methods for using workers' compensation data for surveillance and prevention of occupational injuries among State-insured private employers in Ohio

Details

• Personal Author:
  Al-Tarawneh IS ; Bertke SJ ; Bushnell PT ; Haviland TM ; Lampl MP ; Meyers, Alysha R. ; Raudabaugh JA ; Robins DC ; Schnorr, Teresa M. ; Tseng C-Y ; Wei C ; Wurzelbacher, Steven J. ; Al-Tarawneh IS ; Bertke SJ ; Bushnell PT ; Haviland TM ; Lampl MP ; Meyers, Alysha R. ; Raudabaugh JA ; Robins DC ; Schnorr, Teresa M. ; Tseng C-Y ; Wei C ; Wurzelbacher, Steven J.
• Description:
  Background: Workers' compensation (WC) claims data may be useful for identifying high-risk industries and developing prevention strategies. Methods: WC claims data from private-industry employers insured by the Ohio state-based workers' compensation carrier from 2001 to 2011 were linked with the state's unemployment insurance (UI) data on the employer's industry and number of employees. National Labor Productivity and Costs survey data were used to adjust UI data and estimate full-time equivalents (FTE). Rates of WC claims per 100 FTE were computed and Poisson regression was used to evaluate differences in rates. Results: Most industries showed substantial claim count and rate reductions from 2001 to 2008, followed by a leveling or slight increase in claim count and rate from 2009 to 2011. Despite reductions, there were industry groups that had consistently higher rates. Conclusion: WC claims data linked to employment data could be used to prioritize industries for injury research and prevention activities among State-insured private employers. [Description provided by NIOSH]
• Subjects:
  Manufacturing And Industrial Facilities Occupational Health Safety Workplace
• Keywords:
  Author Keywords: Workers' Compensation Claims Cost Analyses Costs Data Processing Disabled Workers Employees Industrial Environment Industrial Safety Information Systems Injuries Injury Prevention Prevention Regression Analysis Risk Assessment Safety Safety Research Statistical Analysis Surveillance Surveillance Programs Unemployment Work Environment Workers Workers Compensation

  More +
• ISSN:
  0271-3586
• Document Type:
  Text
• Genre:
  Journal Article ; Journal Article
• Place as Subject:
  Ohio ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH) ; National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSHEFS - Division of Surveillance, Hazard Evaluations, and Field Studies ; DSHEFS - Division of Surveillance, Hazard Evaluations, and Field Studies
• Topic:
  Workplace Safety & Health ; Workplace Safety & Health
• Location:
  North America ; North America
• Volume:
  59
• Issue:
  12
• NIOSHTIC Number:
  nn:20048710
• Citation:
  Am J Ind Med 2016 Dec; 59(12):1087-1104
• Contact Point Address:
  Steven J. Wurzelbacher, National Institute for Occupational Safety and Health, 1090 Tusculum Ave, MS R-14, Cincinnati, OH 45226-1998
• Email:
  srw3@cdc.gov
• Federal Fiscal Year:
  2017
• Peer Reviewed:
  True
• Source Full Name:
  American Journal of Industrial Medicine
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:67b149836d6ca55d2bc74f0c2eea8eae9913d2c35819f656de06ad6989ac695e9371883bfff9944576b9eb60231764674100b7d4771fcbf6d62c9e1cb1802c58
• Download URL:
  https://stacks.cdc.gov/view/cdc/203398/cdc_203398_DS1.pdf
• File Type:
  [PDF - 179.80 KB ]