Language preference does not influence stroke patients' symptom recognition or emergency care time metrics
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. We identified...
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Veröffentlicht in: | The American journal of emergency medicine 2021-02, Vol.40, p.177-180 |
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creator | Zachrison, Kori S. Natsui, Shaw Luan Erfe, Betty M. Mejia, Nicte I. Schwamm, Lee H. |
description | 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.
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.
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).
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. |
doi_str_mv | 10.1016/j.ajem.2020.10.064 |
format | Article |
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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.
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).
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.</description><identifier>ISSN: 0735-6757</identifier><identifier>EISSN: 1532-8171</identifier><identifier>DOI: 10.1016/j.ajem.2020.10.064</identifier><identifier>PMID: 33168382</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Acute stroke ; Aged ; Aged, 80 and over ; Cardiac arrhythmia ; Cardiovascular disease ; Communication ; Diabetes ; Emergency care ; Emergency medical care ; Emergency medical services ; Emergency Service, Hospital ; Emergency Treatment ; Ethnicity ; Female ; Hispanic Americans ; Hospitals ; Humans ; Hypertension ; Ischemia ; Language ; Language preference ; Male ; Middle Aged ; Patient-centered care ; Patients ; Public schools ; Registries ; Regression analysis ; Stroke ; Stroke - diagnosis ; Stroke - ethnology ; Time-to-Treatment ; Variables</subject><ispartof>The American journal of emergency medicine, 2021-02, Vol.40, p.177-180</ispartof><rights>2020 Elsevier Inc.</rights><rights>Copyright © 2020 Elsevier Inc. All rights reserved.</rights><rights>2020. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-35f7400b7f196038dee460539cfac3326b6b1ed2c032e4b9329491b01442a3dd3</citedby><cites>FETCH-LOGICAL-c384t-35f7400b7f196038dee460539cfac3326b6b1ed2c032e4b9329491b01442a3dd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2485502072?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33168382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zachrison, Kori S.</creatorcontrib><creatorcontrib>Natsui, Shaw</creatorcontrib><creatorcontrib>Luan Erfe, Betty M.</creatorcontrib><creatorcontrib>Mejia, Nicte I.</creatorcontrib><creatorcontrib>Schwamm, Lee H.</creatorcontrib><title>Language preference does not influence stroke patients' symptom recognition or emergency care time metrics</title><title>The American journal of emergency medicine</title><addtitle>Am J Emerg Med</addtitle><description>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.
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.
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).
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.</description><subject>Acute stroke</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular disease</subject><subject>Communication</subject><subject>Diabetes</subject><subject>Emergency care</subject><subject>Emergency medical care</subject><subject>Emergency medical services</subject><subject>Emergency Service, Hospital</subject><subject>Emergency Treatment</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Hispanic Americans</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Ischemia</subject><subject>Language</subject><subject>Language preference</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Patient-centered care</subject><subject>Patients</subject><subject>Public schools</subject><subject>Registries</subject><subject>Regression analysis</subject><subject>Stroke</subject><subject>Stroke - diagnosis</subject><subject>Stroke - ethnology</subject><subject>Time-to-Treatment</subject><subject>Variables</subject><issn>0735-6757</issn><issn>1532-8171</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kcuqFDEURYMo3vbqDziQgAOdVJvkJPUAJ3LxBQ1OdBxSqVNNyk7SJimh_96UfXXgwFHgsPYmrE3Ic872nPH2zbI3C_q9YGI77FkrH5AdVyCannf8IdmxDlTTdqq7IU9yXhjjXCr5mNwA8LaHXuzIcjDhuJoj0nPCGRMGi3SKmGmIhbown9bfp1xS_F4hUxyGkl_RfPHnEj1NaOMxuOJioDFR9JiONXGh1iSkxXmkHktyNj8lj2Zzyvjs_r0l3z68_3r3qTl8-fj57t2hsdDL0oCaO8nY2M18aBn0E6JsmYLBzsYCiHZsR46TsAwEynEAMciBj4xLKQxME9yS19fec4o_VsxFe5ctnk4mYFyzFlINIHtgQ0Vf_oMucU2h_q5SvVLVbCcqJa6UTTHnqkmfk_MmXTRneltCL3pbQm9LbLe6RA29uK9eR4_T38gf9RV4ewWwuvjpMOls3eZ6ctVp0VN0_-v_BRIZmf8</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Zachrison, Kori S.</creator><creator>Natsui, Shaw</creator><creator>Luan Erfe, Betty M.</creator><creator>Mejia, Nicte I.</creator><creator>Schwamm, Lee H.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>202102</creationdate><title>Language preference does not influence stroke patients' symptom recognition or emergency care time metrics</title><author>Zachrison, Kori S. ; 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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.
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).
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.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33168382</pmid><doi>10.1016/j.ajem.2020.10.064</doi><tpages>4</tpages></addata></record> |
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subjects | Acute stroke Aged Aged, 80 and over Cardiac arrhythmia Cardiovascular disease Communication Diabetes Emergency care Emergency medical care Emergency medical services Emergency Service, Hospital Emergency Treatment Ethnicity Female Hispanic Americans Hospitals Humans Hypertension Ischemia Language Language preference Male Middle Aged Patient-centered care Patients Public schools Registries Regression analysis Stroke Stroke - diagnosis Stroke - ethnology Time-to-Treatment Variables |
title | Language preference does not influence stroke patients' symptom recognition or emergency care time metrics |
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