The Location and Incidence of Out-of-hospital Cardiac Arrest in Georgia

Implications for Placement of Automated External Defibrillators

George E. Malcom, Teresa Michel Thompson, Phillip L Coule

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)10-14
Number of pages5
JournalPrehospital Emergency Care
Volume8
Issue number1
StatePublished - Jan 1 2004

Fingerprint

Out-of-Hospital Cardiac Arrest
Defibrillators
Population Density
Heart Arrest
Incidence
Patient Care
Emergency Medical Services
Population Groups
Population

Keywords

  • Automated external defibrillator
  • Cardiac arrest
  • Public access defibrillation

ASJC Scopus subject areas

  • Emergency Medicine
  • Emergency

Cite this

The Location and Incidence of Out-of-hospital Cardiac Arrest in Georgia : Implications for Placement of Automated External Defibrillators. / Malcom, George E.; Thompson, Teresa Michel; Coule, Phillip L.

In: Prehospital Emergency Care, Vol. 8, No. 1, 01.01.2004, p. 10-14.

Research output: Contribution to journalArticle

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title = "The Location and Incidence of Out-of-hospital Cardiac Arrest in Georgia: Implications for Placement of Automated External Defibrillators",
abstract = "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.",
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N2 - 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.

AB - 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.

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