title: Work patterns and fatigue-related risk among junior doctors.
abstract: BACKGROUND
  To reduce fatigue-related risk among junior doctors, recent initiatives in Europe and the USA have introduced limits on work hours. However, research in other industries has highlighted that other aspects of work patterns are important in generating fatigue, in addition to total work hours. The Australian Medical Association (AMA) has proposed a more comprehensive fatigue risk management approach.
  
  
  OBJECTIVE
  To evaluate the work patterns of New Zealand junior doctors based on the AMA approach, examining relationships between different aspects of work and fatigue-related outcomes.
  
  
  METHODS
  An anonymous questionnaire mailed to all house officers and registrars dealt with demographics, work patterns, sleepiness, fatigue-related clinical errors, and support for coping with work demands. Each participant was assigned a total fatigue risk score combining 10 aspects of work patterns and sleep in the preceding week.
  
  
  RESULTS
  The response rate was 63% (1366 questionnaires from doctors working > or =40 hours a week). On fatigue measures, 30% of participants scored as excessively sleepy (Epworth Sleepiness Score >10), 24% reported falling asleep driving home since becoming a doctor, 66% had felt close to falling asleep at the wheel in the past 12 months, and 42% recalled a fatigue-related clinical error in the past 6 months. Night work and schedule instability were independently associated with more fatigue measures than was total hours worked, after controlling for demographic factors, The total risk score was a significant independent risk factor for all fatigue measures, in a dose-dependent manner (all p<0.01). Regular access to adequate supervision at work reduced the risk of fatigue on all measures.
  
  
  CONCLUSIONS
  To reduce fatigue-related risk among junior doctors, account must be taken of factors in addition to total hours of work and duration of rest breaks. The AMA fatigue risk assessment model offers a useful example of a more comprehensive approach.
authors: Sleep/Wake Research Centre, Massey University, Wellington, New Zealand. p.h.gander@massey.ac.nz
authors: Philippa
authors: P
authors: Gander
authors: Heather
authors: H
authors: Purnell
authors: Alexander
authors: A
authors: Garden
authors: Alistair
authors: A
authors: Woodward
mesh_terms: D000063:Accidents, Traffic; D000328:Adult; D001334:Automobile Driving; D005221:Fatigue / Q000453:epidemiology*; D005260:Female; D006801:Humans; D008297:Male; D019300:Medical Errors; D008505:Medical Staff, Hospital; D008875:Middle Aged; D009520:New Zealand; D009784:Occupational Diseases / Q000453:epidemiology*; D016272:Occupational Health; D010561:Personnel Staffing and Scheduling; D018570:Risk Assessment; D012307:Risk Factors; D012892:Sleep Deprivation / Q000453:epidemiology; D020178:Sleep Disorders, Circadian Rhythm / Q000453:epidemiology; D014940:Work Schedule Tolerance / Q000523:psychology*; D016526:Workload