Factors associated with stroke prenotification in emergency medical service among stroke code patients: A retrospective analysis

Int Emerg Nurs. 2026 Mar:85:101766. doi: 10.1016/j.ienj.2026.101766. Epub 2026 Feb 9.

Abstract

Background: Emergency medical service stroke prenotification (EMS-SP) and stroke code activation improves stroke process measures for patients transported to the emergency department (ED) with stroke symptoms. We aimed to identify predictors of EMS-SP.

Methods: This retrospective analysis includes data collected from an ongoing quality improvement project at a University hospital for all adult stroke code activations for the last 4 months of 2024 and first month of 2025. Multivariable models were used to explore associations between patient demographics, clinical characteristics, and having EMS-SP versus not having EMS-SP.

Results: The mean age of the 149 patients in our sample was 67.2 (14.7) years, 85 (57%) were female, 107 (71.8%) were white, 23 (15.4%) were Hispanic, and 95 (63.8%) were determined to be mimics. There were no statistically significant differences in demographics for the 65 (43.6%) patients without EMS-SP versus the 84 (56.4%) patients with EMS-SP. Logistic model shows non-White race was associated with a higher odds of EMS-SP (OR, 2.44; 95%CI = 1.04-5.72); aphasia assessment being performed was associated with a higher odds of EMS-SP (OR, 6.89; 95%CI = 2.82-15.86); a nominally higher odds of EMS-SP was noted for every 5 year increase in age (OR, 1.11; 95%CI = 0.97-1.27); and a higher odds of EMS-SP was noted for every 10 mmHg increase in diastolic blood pressure (OR, 1.24; 95%CI = 1.02-1.47).

Conclusions: Patients with aphasia assessment done, who were older, not White, and had higher diastolic blood pressures were more likely to have EMS-SP. Pre-hospital stroke management, including education and feedback for emergency medical service, is warranted.

Keywords: Acute ischemic stroke; Emergency medical service; Stroke; Stroke mimics; Stroke prenotification.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Emergency Medical Services* / methods
  • Emergency Medical Services* / standards
  • Emergency Medical Services* / statistics & numerical data
  • Emergency Service, Hospital / organization & administration
  • Emergency Service, Hospital / statistics & numerical data
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Retrospective Studies
  • Stroke* / classification
  • Stroke* / diagnosis
  • Stroke* / therapy
  • Triage* / methods
  • Triage* / standards
  • Triage* / statistics & numerical data