Jan 16, 2013

A tale of two cities: the role of neighborhood socioeconomic status in spatial clustering of bystander CPR in Austin and Houston

Elisabeth D RootComilla Sasson


Despite evidence to suggest significant spatial variation in out-of-hospital cardiac arrest (OHCA) and bystander cardiopulmonary resuscitation (BCPR) rates, geographic information systems (GIS) and spatial analysis have not been widely used to understand the reasons behind this variation. This study employs spatial statistics to identify the location and extent of clusters of bystander CPR in Houston and Travis County, TX. Data were extracted from the Cardiac Arrest Registry to Enhance Survival for two U.S. sites - Austin-Travis County EMS and the Houston Fire Department - between October 1, 2006 and December 31, 2009. Hierarchical logistic regression models were used to assess the relationship between income and racial/ethnic composition of a neighborhood and BCPR for OHCA and to adjust expected counts of BCPR for spatial cluster analysis. The spatial scan statistic was used to find the geographic extent of clusters of high and low BCPR. Results indicate spatial clusters of lower than expected BCPR rates in Houston. Compared to BCPR rates in the rest of the community, there was a circular area of 4.2km radius where BCPR rates were lower than expected (RR=0.62; p<0.0001 and RR=0.55; p=0.037) which persist when adjusted for indi...Continue Reading

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Mentioned in this Paper

Logistic Regression
Basic Cardiac Life Support
Myocardial Infarction
BCPR wt Allele
Socioeconomic Status
Public Health Domain
Geographic Information Systems

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