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Volume 11, Issue 3, Pages 202-207 (April 2001)


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Concordance of Stroke Symptom Onset Time: The Second Delay in Accessing Stroke Healthcare (DASH II) Study

Kelly R Evenson, PhDCorresponding Author Informationemail address, Wayne D Rosamond, PhD, Jeffrey A Vallee, AMb, Dexter L Morris, PhD, MDc

Received 6 July 2000; received in revised form 3 August 2000; accepted 6 September 2000.

Abstract 

PURPOSE: This study examines the concordance between symptom onset obtained during an interview in the emergency department (ED) compared to that recorded in the medical record among patients with stroke-like symptoms and characterizes the frequency of missing symptom onset information in the medical record.

METHODS: Interviews with patients presenting with signs and symptoms of acute stroke were completed in the ED of seven hospitals to determine symptom onset time. Symptom onset recorded in the medical record was abstracted after the patient was discharged.

RESULTS: Among the patients who presented to the ED with stroke-like symptoms, 60.2% overall and 61.9% among stroke patients had a symptom onset date and time recorded in the medical record. The Pearson correlation of prehospital delay time, comparing symptom onset obtained by interview to that obtained by the medical record was 0.80 and among stroke patients was 0.91. Concordance of prehospital delay time for stroke within ± 1 h between the interview and the medical record was 60.1%. For stroke patients, concordance was more likely for those who had higher functional status prior to the acute episode.

CONCLUSIONS: Symptom onset time was often missing from the medical record. Standardized and systematic recording of delay time in the medical record could increase its utility as a clinical measure and as a research tool for acute stroke.

a Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC USA

b Wake Forest University School of Medicine, Winston-Salem, NC USA

c Department of Emergency Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC USA.

Corresponding Author InformationAddress reprint requests to: Kelly R. Evenson, Department of Epidemiology, School of Public Health, University of North Carolina – Chapel Hill, 137 East Franklin Street, Suite 306, CB #8050, Chapel Hill, NC 27514. Tel.: 919-966-1967; fax: 919-966-9800.

PII: S1047-2797(00)00211-8


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