The association between prehospital care and in-hospital treatment decisions in acute stroke: a cohort study

James P Sheppard, Ruth M Mellor, Sheila Greenfield, Jonathan Mant, Tom Quinn, David Sandler, Don Sims, Satinder Singh, Matthew Ward, Richard J McManus, CLAHRC BBC investigators

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)
88 Downloads (Pure)

Abstract

BACKGROUND: Hospital prealerting in acute stroke improves the timeliness of subsequent treatment, but little is known about the impact of prehospital assessments on in-hospital care.

OBJECTIVE: Examine the association between prehospital assessments and notification by emergency medical service staff on the subsequent acute stroke care pathway.

METHODS: This was a cohort study of linked patient medical records. Consenting patients with a diagnosis of stroke were recruited from two urban hospitals. Data from patient medical records were extracted and entered into a Cox regression analysis to investigate the association between time to CT request and recording of onset time, stroke recognition (using the Face Arm Speech Test (FAST)) and sending of a prealert message.

RESULTS: 151 patients (aged 71±15 years) travelled to hospital via ambulance and were eligible for this analysis. Time of symptom onset was recorded in 61 (40%) cases, the FAST test was positive in 114 (75%) and a prealert message was sent in 65 (44%). Following adjustment for confounding, patients who had time of onset recorded (HR 0.73, 95% CI 0.52 to 1.03), were FAST-positive (HR 0.54, 95% CI 0.37 to 0.80) or were prealerted (HR 0.26, 95% CI 0.18 to 0.38), were more likely to receive a timely CT request in hospital.

CONCLUSIONS: This study highlights the importance of hospital prealerting, accurate stroke recognition, and recording of onset time. Those not recognised with stroke in a prehospital setting appear to be excluded from the possibility of rapid treatment in hospital, even before they have been seen by a specialist.

Original languageEnglish
Pages (from-to)93-99
Number of pages7
JournalEmergency Medicine Journal
Volume32
Issue number2
Early online date20 Jan 2015
DOIs
Publication statusPublished - Feb 2015

Keywords

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Emergency Medical Service Communication Systems
  • Emergency Medical Services
  • Emergency Service, Hospital
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neurologic Examination
  • Stroke
  • Time Factors

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