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Language preference does not influence stroke patients' symptom recognition or emergency care time metrics

Authors :
Nicte I. Mejia
Kori S. Zachrison
Betty M. Luan Erfe
Shaw Natsui
Lee H. Schwamm
Source :
The American Journal of Emergency Medicine. 40:177-180
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Introduction Our objective was to determine whether acute ischemic stroke (AIS) patients' language preference is associated with differences in time from symptom discovery to hospital arrival, activation of emergency medical services, door-to-imaging time (DTI), and door-to-needle (DTN) time. Methods We identified consecutive AIS patients presenting to a single urban, tertiary, academic center between 01/2003–05/2014 for whom language preference was available. Data were abstracted from the institution's Research Patient Data Registry and Get with the Guidelines-Stroke Registry. Bivariate and regression models evaluated the relationship between language preference and: 1) time from symptom onset to hospital arrival, 2) use of EMS, 3) DTI, and 4) DTN time. Results Of 3190 AIS patients, 300 (9.4%) were non-English preferring (NEP). Comparing NEP to English preferring (EP) patients in unadjusted or adjusted analyses, time from symptom discovery to arrival and rate of EMS utilization were not significantly different (overall median time 157 min, IQR 55–420; EMS utilization: 65% vs. 61.3% p = 0.21). There was also no significant differences in DTI or in likelihood of guideline-recommended DTI ≤ 25 min (overall median 59 min, IQR 29–127; DTI ≤ 25 min 24.3% vs. 21.3% p = 0.29) or DTN time or in likelihood of guideline-recommended DTN ≤ 60 min (overall median 53 min, IQR 36–73; DTN ≤ 60 min 62.5% vs. 58.2% p = 0.60). Conclusion Consistent with prior reports examining disparities in care, a systems-based approach to acute stroke prevents differences in hospital-based metrics. Reassuringly, NEP and EP patients also had similar speed of symptom recognition and EMS utilization.

Details

ISSN :
07356757
Volume :
40
Database :
OpenAIRE
Journal :
The American Journal of Emergency Medicine
Accession number :
edsair.doi.dedup.....27055981767b825cd1558e79b1b7750c