title: Impact of acute stroke team emergency calls on in-hospital delays in acute stroke care.
abstract: BACKGROUND
  Acute stroke is a medical emergency. Therefore, early recognition and rapid activation of the medical system are important prerequisites for successful management. We sought to investigate the impact of our new Acute Stroke Team emergency call system (AST) on admission delays from the emergency department (ED) to the stroke care unit (SCU) and on the subsequent length of stay (LOS) and in-hospital mortality.
  
  
  METHODS
  We retrospectively analysed data obtained from the Austin Hospital stroke unit database and the electronic medical record/patient tracking system for the 5 months before (August to December 2004) and after (January to May 2005) the introduction of the AST.
  
  
  RESULTS
  Data for 352 patients were extracted. Of these, there were 260 (73.9%) patients with ischaemic stroke, 38 (10.8%) with intracerebral haemorrhage and 54 (15.3%) with transient ischaemic attack (TIA). One hundred and seventy-two patients were admitted before and 180 after AST introduction. There were 70 AST calls from January to May 2005. Baseline characteristics of both groups were similar. Between the two groups, the median (Q1,Q3) time from door to CT scan was significantly reduced from 104 (60,149) to 82 (40,132) minutes. The LOS was significantly reduced from 6 (3,9) to 3 (2,7) days. There was no significant impact on mortality.
  
  
  CONCLUSIONS
  The introduction of AST has reduced the time from door to brain CT scan. This is an important finding as the window period for thrombolysis is short and early diagnosis is crucial.
authors.affiliation: National Stroke Research Institute, Heidelberg Repatriation Hospital, Melbourne, Victoria, Australia. hamidon@mail.hukm.ukm.my
authors.forename: B B
authors.initials: BB
authors.lastname: Hamidon
authors.forename: H M
authors.initials: HM
authors.lastname: Dewey
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D004636:Emergency Service, Hospital; D005260:Female; D006801:Humans; D007256:Information Systems; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012189:Retrospective Studies; D020521:Stroke / Q000145:classification / Q000453:epidemiology / Q000401:mortality / Q000628:therapy*; D013997:Time Factors; D014057:Tomography, X-Ray Computed