title: Access block in NSW hospitals, 1999-2001: does the definition matter?
abstract: OBJECTIVE
  To estimate the magnitude of access block and its trend over time in New South Wales hospitals, using different definitions of access block, and to explore its association with clinical and non-clinical factors.
  
  
  METHODS
  An epidemiological study using the Emergency Department Information System datasets (1 January 1999 to 31 December 2001) from a sample of 55 NSW hospitals.
  
  
  METHODS
  Prevalence of access block measured by four different definitions; strength of association between access block, type of hospital, year of presentation, mode and time of arrival, triage category (an indicator of urgency), age and sex.
  
  
  RESULTS
  Rates of access block (for all four definitions) increased between 1999 and 2001 by 1%-2% per year. There were increases across all regions of NSW, but urban regions in particular. Patients presenting to Principal Referral hospitals and those who arrived at night were more likely to experience access block. After adjusting for triage category and year of presentation, the mode of arrival, time of arrival, type of hospital, age and sex were significantly associated with access block.
  
  
  CONCLUSIONS
  Access block continues to increase across NSW, whatever the definition used. We recommend that hospitals in NSW and Australia move to the use of one standard definition of access block, as our study suggests there is no significant additional information emerging from the use of multiple definitions.
authors.affiliation: Simpson Centre for Health Services Research, Liverpool Health Service, Liverpool, NSW, Australia. r.forero@unsw.edu.au
authors.forename: Roberto
authors.initials: R
authors.lastname: Forero
authors.forename: Mohammed
authors.initials: M
authors.lastname: Mohsin
authors.forename: Adrian E
authors.initials: AE
authors.lastname: Bauman
authors.forename: Sue
authors.initials: S
authors.lastname: Ieraci
authors.forename: Lis
authors.initials: L
authors.lastname: Young
authors.forename: Hai N
authors.initials: HN
authors.lastname: Phung
authors.forename: Kenneth M
authors.initials: KM
authors.lastname: Hillman
authors.forename: Sally M
authors.initials: SM
authors.lastname: McCarthy
authors.forename: C David
authors.initials: CD
authors.lastname: Hugelmeyer
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009517:New South Wales; D010343:Patient Admission / Q000706:statistics & numerical data*; D017678:Sex Distribution; D009626:Terminology as Topic; D013997:Time Factors; D014850:Waiting Lists