Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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
Objective: Prior studies of automated external defrillator placement strategies for public access defibrillation (PAD) have addressed only the venue of out-of-hospital cardiac arrest (OOHCA) in large urban areas. This study evaluates the relationship between population density and the incidence and location of OOHCA.
Methods: This study was a retrospective analysis of 624,199 Georgia state emergency medical services patient care reports (PCRs) in 2000. The PCR categorized these cardiac arrests by county into 12 location options. Counties were divided into population densities of <100, 100-400, 400-1,000, and >1,000 persons per square mile. The incidence of cardiac arrest for each location type was calculated for each population density group.
Results: The <100 density group had only 21.77% of the state's population but 30.96% of the state's cardiac arrests, whereas the >1,000 density group had 35.46% of the population but only 23.55% of the cardiac arrests (p<0.0001). The relative risk (95% confidence interval) for OOHCA in the <100 density group compared with the >1,000 density group was 2.14 (2.00, 2.29). The percentage of OOHCAs that occurred in the home for each population density group was: <100 persons per square mile, (67.67%); 100-400 persons per square mile, (68.83%); 400-1,000 persons per square mile, (65.75%); and >1,000 persons per square mile (62.09%) (p=0.0001).
Conclusions: There are variations in incidence and location of OOHCA based on population density in Georgia. As population density increases, the incidence percentage of OOHCAs decreases. However, as population density increases, there is an increase in the percentage of cardiac arrests occurring outside the home, where more OOHCAs could potentially benefit from PAD.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1080/312703002752 | DOI Listing |
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