title: Costs by industry and diagnosis among musculoskeletal claims in a state workers compensation system: 1999-2004.
abstract: BACKGROUND
  Musculoskeletal disorders (MSDs) are a tremendous burden on industry in the United States. However, there is limited understanding of the unique issues relating to specific industry sectors, specifically the frequency and costs of different MSDs.
  
  
  METHODS
  Claim data from 1999 to 2004 from the Ohio Bureau of Workers' Compensation were analyzed as a function of industry sector (NAICS industry-sector categories) and anatomical region (ICD-9 codes).
  
  
  RESULTS
  Almost 50% of the claims were lumbar spine (26.9%) or hand/wrist (21.7%). The majority of claims were from manufacturing (25.1%) and service (32.8%) industries. The industries with the highest average costs per claim were transportation, warehouse, and utilities and construction. Across industries, the highest costs per claim were consistently for the lumbar spine, shoulder, and cervical spine body regions.
  
  
  CONCLUSIONS
  This study provides insight into the severity (i.e., medical and indemnity costs) of MSDs across multiple industries, providing data for prioritizing of resources for research and interventions.
authors: Department of Rehabilitation Sciences, University of Cincinnati, Ohio, USA. kari.dunning@uc.edu
authors: Kari K
authors: KK
authors: Dunning
authors: Kermit G
authors: KG
authors: Davis
authors: Chad
authors: C
authors: Cook
authors: Susan E
authors: SE
authors: Kotowski
authors: Chris
authors: C
authors: Hamrick
authors: Gregory
authors: G
authors: Jewell
authors: James
authors: J
authors: Lockey
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data; D000328:Adult; D017677:Age Distribution; D003365:Costs and Cost Analysis / Q000706:statistics & numerical data; D005260:Female; D005102:Health Expenditures / Q000706:statistics & numerical data; D006801:Humans; D007221:Industry / Q000145:classification* / Q000191:economics / Q000706:statistics & numerical data; D007344:Insurance Claim Reporting / Q000191:economics / Q000706:statistics & numerical data*; D007349:Insurance, Health, Reimbursement / Q000191:economics* / Q000706:statistics & numerical data; D038801:International Classification of Diseases; D008297:Male; D008875:Middle Aged; D009140:Musculoskeletal Diseases / Q000145:classification / Q000175:diagnosis* / Q000191:economics / Q000453:epidemiology; D009820:Ohio / Q000453:epidemiology; D017678:Sex Distribution; D014942:Workers' Compensation / Q000191:economics* / Q000706:statistics & numerical data*; D017132:Workplace / Q000706:statistics & numerical data; D055815:Young Adult