title: Analysis of sickness absence among employees of four NHS trusts.
abstract: OBJECTIVE
  To determine the value of using routinely collected sickness absence data as part of a health needs assessment of healthcare workers.
  
  
  METHODS
  Sickness absence records of almost 12900 NHS staff for one calendar year were analysed. Three measures of absence, the absence rate, the absence frequency rate, and the mean duration of absence, were assessed for the population and comparisons made between men and women, full and part time and different occupational groups of staff. Also, the main causes of sickness absence were found.
  
  
  RESULTS
  Almost 60% of the study population had no spells of sickness absence in the year of study and almost 20% had only one spell of sickness absence. Female staff were more likely to have experienced sickness absence than male staff. Although absence due to conditions related to pregnancy were included in the analysis, the incidence of these was not sufficient to account for the higher rates of absence among female staff. In general, full time staff had greater rates of sickness absence than part time staff. 71% of all absences were of < 1 week duration. The main known causes of sickness absence were respiratory disorders, digestive disorders, and musculoskeletal disorders.
  
  
  CONCLUSIONS
  The transition from units managed directly from the health board to trusts with individual responsibility for personnel issues at the time of data collection resulted in variations in the quality of data available for analysis. This together with the use of "dump" codes has influenced the quality of the analysis. However, such data should be available for analysis to tailor occupational health care to the needs of the population.
authors.affiliation: University of Glasgow, Department of Public Health, UK.
authors.forename: K A
authors.initials: KA
authors.lastname: Ritchie
authors.forename: E B
authors.initials: EB
authors.lastname: Macdonald
authors.forename: W H
authors.initials: WH
authors.lastname: Gilmour
authors.forename: K J
authors.initials: KJ
authors.lastname: Murray
mesh_terms: D000041:Absenteeism; D005260:Female; D006801:Humans; D008297:Male; D009784:Occupational Diseases / Q000453:epidemiology*; D010564:Personnel, Hospital; D017678:Sex Distribution; D018582:Sick Leave / Q000706:statistics & numerical data*; D006113:United Kingdom