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Language preference does not influence stroke patients' symptom recognition or emergency care time metrics
- 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.
- Subjects :
- Male
medicine.medical_specialty
Stroke patient
Bivariate analysis
Time-to-Treatment
03 medical and health sciences
0302 clinical medicine
Emergency medical services
Humans
Medicine
Registries
Symptom onset
Emergency Treatment
Language preference
Aged
Language
Acute stroke
Aged, 80 and over
business.industry
030208 emergency & critical care medicine
Regression analysis
General Medicine
Patient data
Middle Aged
Stroke
Emergency medicine
Emergency Medicine
Female
Emergency Service, Hospital
business
Subjects
Details
- ISSN :
- 07356757
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- The American Journal of Emergency Medicine
- Accession number :
- edsair.doi.dedup.....27055981767b825cd1558e79b1b7750c