title: Examining job tenure and lost-time claim rates in Ontario, Canada, over a 10-year period, 1999-2008.
abstract: OBJECTIVE
  We sought to examine the association between job tenure and lost-time claim rates over a 10-year period in Ontario, Canada.
  
  
  METHODS
  Data were obtained from workers' compensation records and labour force survey data from 1999 to 2008. Claim rates were calculated for gender, age, industry, occupation, year and job tenure group. A multivariate analysis and examination of effect modification were performed. Differences in injury event and source of injury were also examined by job tenure.
  
  
  RESULTS
  Lost-time claim rates were significantly higher for workers with shorter job tenure, regardless of other factors. Claim rates for new workers differed by gender, age and industry, but remained relatively constant at an elevated rate over the observed time period.
  
  
  CONCLUSIONS
  This study is the first to examine lost-time claim rates by job tenure over a time period during which overall claim rates generally declined. Claim rates did not show a convergence by job tenure. Findings highlight that new workers are still at elevated risk, and suggest the need for improved training, reducing exposures among new workers, promoting permanent employment, and monitoring work injury trends and risk factors.
authors.affiliation: Institute for Work and Health, Toronto, ON, Canada. smorassaei@iwh.on.ca
authors.forename: Sara
authors.initials: S
authors.lastname: Morassaei
authors.forename: F Curtis
authors.initials: FC
authors.lastname: Breslin
authors.forename: Min
authors.initials: M
authors.lastname: Shen
authors.forename: Peter M
authors.initials: PM
authors.lastname: Smith
mesh_terms: D000062:Accidents, Occupational / Q000191:economics*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D002170:Canada; D003625:Data Collection; D004651:Employment; D005260:Female; D006801:Humans; D007221:Industry; D007345:Insurance Claim Review; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009790:Occupations; D012737:Sex Factors; D014937:Work; D014942:Workers' Compensation / Q000706:statistics & numerical data*; D055815:Young Adult