title: Predictors of time loss after back injury in nurses.
abstract: METHODS
  A 2-year prospective inception cohort study of back injury in nurses.
  
  
  OBJECTIVE
  To determine the extent to which characteristics of nurses, of the injury, and of the workplace predict occurrence and duration of time loss from work after back injury.
  
  
  BACKGROUND
  During 2 years, 320 nurses incurred 416 back injuries at a large teaching hospital in Winnipeg, Canada. Nurses injured on preselected wards were targeted for early intervention, including provision of modified work, whereas nurses injured on other wards received the usual care.
  
  
  METHODS
  Time loss attributable to the back injury during the 6 months after injury was analyzed. Three statistical models were used to examine occurrence of time loss (logistic regression), duration of time loss (Tobit regression), and duration of time loss once an injury incurring time loss had been documented (least-squares regression).
  
  
  RESULTS
  In 218 of the 416 injuries, the injured nurse consented to interview. Whereas perceived disability was related to whether a time loss injury would ensue, self-reported pain was strongly related to the duration of time loss once an injury had become a time loss injury. Duration of time loss was reduced by participation in the return-to-work program. Mechanism of injury, specifically injury occurring while lifting patients, resulted in greater time loss.
  
  
  CONCLUSIONS
  Focusing on reducing the perception of disability at the time of injury is critical to preventing time loss, but once time loss has occurred, offer of modified work and attention to pain reduction are warranted. The findings add to the evidence that workplace-based intervention programs can be effective in reducing the morbidity resulting from back injury.
authors.affiliation: Department of Community Health Sciences, University of Manitoba, Canada.
authors.forename: R B
authors.initials: RB
authors.lastname: Tate
authors.forename: A
authors.initials: A
authors.lastname: Yassi
authors.forename: J
authors.initials: J
authors.lastname: Cooper
mesh_terms: D000062:Accidents, Occupational / Q000706:statistics & numerical data* / Q000639:trends; D000328:Adult; D019567:Back Injuries / Q000209:etiology / Q000503:physiopathology / Q000534:rehabilitation; D015331:Cohort Studies; D004185:Disability Evaluation; D005260:Female; D005544:Forecasting / Q000379:methods; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D017116:Low Back Pain / Q000175:diagnosis / Q000534:rehabilitation; D008297:Male; D009726:Nurses; D011446:Prospective Studies; D018582:Sick Leave / Q000706:statistics & numerical data* / Q000639:trends; D011795:Surveys and Questionnaires