Literature DB >> 16690898

Community socioeconomic status and prehospital times in acute stroke and transient ischemic attack: do poorer patients have longer delays from 911 call to the emergency department?

Dawn O Kleindorfer1, Christopher J Lindsell, Joseph P Broderick, Matthew L Flaherty, Daniel Woo, Irene Ewing, Pam Schmit, Charles Moomaw, Kathleen Alwell, Arthur Pancioli, Edward Jauch, Jane Khoury, Rosie Miller, Alexander Schneider, Brett M Kissela.   

Abstract

BACKGROUND AND
PURPOSE: Timely access to medical treatment is critical for patients with acute stroke because acute therapies must be given very quickly after symptom onset. We examined the effect of socioeconomic status on prehospital delays in stroke and transient ischemic attack (TIA) patients within a large, biracial population.
METHODS: By screening all local hospital ICD-9 codes 430 to 436, all stroke and TIA patients were identified during the calendar year of 1999. Cases must have used emergency medical services (EMS), lived at home, had their stroke at home, and had documented times of the 911 call and arrival to the emergency department. Socioeconomic status was estimated using economic data regarding the geocoded home residence census tract.
RESULTS: Only 38% of stroke and TIA patients used EMS. There were 978 cases of stroke and TIA included in this analysis. The mean times were call to arrival on scene 6.5 minutes, on-scene time 14.1 minutes, and transport time 13.1 minutes. Lower community socioeconomic status was associated with all 3 EMS time intervals; however, all time differences were small: the largest difference was 5 minutes.
CONCLUSIONS: Within our population, living in a poorer area does not appear to delay access to acute care for stroke in a clinically significant way. We did find small, statistically significant delays in prehospital times that were associated with poorer communities, black race, and increasing age. However, delays related to public recognition of stroke symptoms, and limited use of 911, are likely much more important than these small delays that occur with EMS systems.

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Mesh:

Year:  2006        PMID: 16690898     DOI: 10.1161/01.STR.0000222933.94460.dd

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  39 in total

1.  Patients living in impoverished areas have more severe ischemic strokes.

Authors:  Dawn Kleindorfer; Christopher Lindsell; Kathleen A Alwell; Charles J Moomaw; Daniel Woo; Matthew L Flaherty; Pooja Khatri; Opeolu Adeoye; Simona Ferioli; Brett M Kissela
Journal:  Stroke       Date:  2012-07-05       Impact factor: 7.914

2.  An evaluation of emergency medical services stroke protocols and scene times.

Authors:  Mehul D Patel; Jane H Brice; Chailee Moss; Chirayath M Suchindran; Kelly R Evenson; Kathryn M Rose; Wayne D Rosamond
Journal:  Prehosp Emerg Care       Date:  2013-09-12       Impact factor: 3.077

3.  Neighborhood income and stroke care and outcomes.

Authors:  Moira K Kapral; Jiming Fang; Crystal Chan; David A Alter; Susan E Bronskill; Michael D Hill; Douglas G Manuel; Jack V Tu; Geoffrey M Anderson
Journal:  Neurology       Date:  2012-08-15       Impact factor: 9.910

4.  Barriers and facilitators to using 9-1-1 and emergency medical services in a limited English proficiency Chinese community.

Authors:  Brandon N Ong; Mei Po Yip; Sherry Feng; Rebecca Calhoun; Hendrika W Meischke; Shin-Ping Tu
Journal:  J Immigr Minor Health       Date:  2012-04

5.  Race and sex disparities in prehospital recognition of acute stroke.

Authors:  Prasanthi Govindarajan; Benjamin T Friedman; James Q Delgadillo; David Ghilarducci; Lawrence J Cook; Barbara Grimes; Charles E McCulloch; S Claiborne Johnston
Journal:  Acad Emerg Med       Date:  2015-02-25       Impact factor: 3.451

6.  Marked Regional Variation in Acute Stroke Treatment Among Medicare Beneficiaries.

Authors:  Lesli E Skolarus; William J Meurer; Krithika Shanmugasundaram; Eric E Adelman; Phillip A Scott; James F Burke
Journal:  Stroke       Date:  2015-06-02       Impact factor: 7.914

7.  Eligibility for Intravenous Recombinant Tissue-Type Plasminogen Activator Within a Population: The Effect of the European Cooperative Acute Stroke Study (ECASS) III Trial.

Authors:  Felipe de Los Ríos la Rosa; Jane Khoury; Brett M Kissela; Matthew L Flaherty; Kathleen Alwell; Charles J Moomaw; Pooja Khatri; Opeolu Adeoye; Daniel Woo; Simona Ferioli; Dawn O Kleindorfer
Journal:  Stroke       Date:  2012-03-22       Impact factor: 7.914

8.  Individual and System Contributions to Race and Sex Disparities in Thrombolysis Use for Stroke Patients in the United States.

Authors:  Roland Faigle; Victor C Urrutia; Lisa A Cooper; Rebecca F Gottesman
Journal:  Stroke       Date:  2017-03-10       Impact factor: 7.914

9.  Neighborhood Influences on Emergency Medical Services Use for Acute Stroke: A Population-Based Cross-sectional Study.

Authors:  William J Meurer; Deborah A Levine; Kevin A Kerber; Darin B Zahuranec; James Burke; Jonggyu Baek; Brisa Sánchez; Melinda A Smith; Lewis B Morgenstern; Lynda D Lisabeth
Journal:  Ann Emerg Med       Date:  2015-09-16       Impact factor: 5.721

Review 10.  Early identification and delay to treatment in myocardial infarction and stroke: differences and similarities.

Authors:  Johan Herlitz; Birgitta Wireklintsundström; Angela Bång; Annika Berglund; Leif Svensson; Christian Blomstrand
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2010-09-06       Impact factor: 2.953

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