title: Recognition of Stroke by EMS is Associated with Improvement in Emergency Department Quality Measures.
abstract: Hospital arrival via Emergency Medical Services (EMS) and EMS prenotification are associated with faster evaluation and treatment of stroke. We sought to determine the impact of diagnostic accuracy by prehospital providers on emergency department quality measures.
  
  
  
  A retrospective study was performed of patients presenting via EMS between September 2009 and December 2012 with a discharge diagnosis of transient ischemic attack (TIA), ischemic stroke (IS), or intracerebral hemorrhage (ICH). Hospital and EMS databases were used to determine EMS impression, prehospital and in-hospital time intervals, EMS prenotification, NIH stroke scale (NIHSS), symptom duration, and thrombolysis rate.
  
  
  
  399 cases were identified: 14.5% TIA, 67.2% IS, and 18.3% ICH. EMS providers correctly recognized 57.6% of cases. Compared to cases missed by EMS, correctly recognized cases had longer median on-scene time (17 vs. 15 min, p = 0.01) but shorter transport times (12 vs. 15 min, p = 0.001). Cases correctly recognized by EMS were associated with shorter door-to-physician time (4 vs. 11 min, p < 0.001) and shorter door-to-CT time (23 vs. 48 min, p < 0.001). These findings were independent of age, NIHSS, symptom duration, and EMS prenotification. Patients with ischemic stroke correctly recognized by EMS were more likely to receive thrombolytic therapy, independent of age, NIHSS, symptom duration both with and without prenotification.
  
  
  
  Recognition of stroke by EMS providers was independently associated with faster door-to-physician time, faster door-to-CT time, and greater odds of receiving thrombolysis. Quality initiatives to improve EMS recognition of stroke have the potential to improve hospital-based quality of stroke care.
authors.forename: Michael E
authors.initials: ME
authors.lastname: Abboud
authors.forename: Roger
authors.initials: R
authors.lastname: Band
authors.forename: Judy
authors.initials: J
authors.lastname: Jia
authors.forename: William
authors.initials: W
authors.lastname: Pajerowski
authors.forename: Guy
authors.initials: G
authors.lastname: David
authors.forename: Michelle
authors.initials: M
authors.lastname: Guo
authors.forename: C Crawford
authors.initials: CC
authors.lastname: Mechem
authors.forename: Steven R
authors.initials: SR
authors.lastname: Messé
authors.forename: Brendan G
authors.initials: BG
authors.lastname: Carr
authors.forename: Michael T
authors.initials: MT
authors.lastname: Mullen
mesh_terms: D000368:Aged; D015331:Cohort Studies; D016208:Databases, Factual; D004632:Emergency Medical Services / Q000592:standards / Q000706:statistics & numerical data*; D004636:Emergency Service, Hospital / Q000592:standards*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D020521:Stroke / Q000175:diagnosis* / Q000188:drug therapy; D015912:Thrombolytic Therapy / Q000706:statistics & numerical data
keywords: CVA; quality measures; stroke; thrombolysis