Rapid response to stroke symptoms: the Delay in Accessing Stroke Healthcare (DASH) study

Acad Emerg Med. 1998 Jan;5(1):45-51. doi: 10.1111/j.1553-2712.1998.tb02574.x.

Abstract

Objective: To assess the determinants of prehospital delay for patients with presumed acute cerebral ischemia (ACI) in order to provide the background necessary to develop interventions to shorten such delays.

Methods: A prospective registry of patients presenting to the ED with signs and symptoms of stroke was established at a university hospital from July 1995 to March 1996. Trained nurses performed a structured ED interview, which assessed prehospital delay and potential confounders.

Results: The median delay (interquartile range) from symptom onset to ED arrival for all patients seeking care for stroke-like symptoms (n = 152) was 3.0 hours (1.5-7.8 hr). The median delay from symptom onset to ED arrival was less in cases where a witness first recognized that there was a serious problem than it was when the patient first identified the problem. A heightened sense of urgency by the patient about his or her symptoms, and use of 911/emergency medical services (EMS) transport were also associated with rapid arrival in the ED within 3 hours of symptom onset. After adjusting for all predictor variables in a multivariable logistic regression model, only recognition of symptoms by a witness and calling 911/EMS transport remained statistically significant.

Conclusions: These data suggest that future efforts to intervene on prolonged prehospital delay for patients with ACI should include strategies for the community as a whole as well as persons at risk for stroke and should reinforce the use of 911 and EMS transport.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Brain Ischemia / diagnosis*
  • Emergency Service, Hospital / organization & administration*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Nursing Assessment
  • Patient Acceptance of Health Care*
  • Patient Admission
  • Prospective Studies
  • Registries
  • Surveys and Questionnaires
  • Time Factors