Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Hemorrhagic stroke is a medical emergency that requires rapid identification and treatment. Despite playing a critical role in the emergency response to hemorrhagic stroke patients, a minimal amount is known about the quality of emergency medical services (EMS) care for this condition. The objectives of this study were to quantify EMS hemorrhagic stroke recognition, identify predictors of accurate EMS recognition, and examine associations between EMS recognition, quality of prehospital care, and patient outcomes. Consecutive EMS-transported hemorrhagic strokes were identified from medical records at 4 primary stroke centers. Data regarding prehospital care were abstracted from EMS records and linked to in-hospital data. Clinical predictors of accurate EMS recognition were examined using logistic regression. EMS performance measure compliance and hospital outcomes were also compared among EMS recognized and unrecognized hemorrhagic strokes. Over 24 months, EMS-transported 188 hemorrhagic stroke patients; 108 (57.4%) were recognized by EMS. Recognized cases had higher rates of stroke scale documentation (84.3% vs. 20.0%, p < 0.001); multivariable logistic regression confirmed a strong independent relationship between stroke scale documentation and recognition (adjusted OR 15.1 [5.6 to 40.7]). Recognized cases also had shorter on-scene times (15.5 vs. 21 min, p < 0.001) and door-to-computed tomography (DTCT) acquisition times (20 vs. 47 min, p < 0.001). Among EMS-transported hemorrhagic stroke cases, stroke screen documentation was strongly associated with EMS stroke recognition, which was in turn associated with higher quality of EMS care and faster computed tomography (CT) scans upon emergency department arrival.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1080/10903127.2020.1831669 | DOI Listing |
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