Abstract
Objectives
Geographic clustering of bystander CPR is associated with demographic and socioeconomic features of the community where out-of-hospital cardiac arrest (OHCA) occurred, though this association remains largely untested in rural areas. With a significant rural component and relative racial homogeneity, Kent County, Michigan provides a unique setting to externally validate or identify new community features associated with bystander CPR. Using a large, countywide dataset, we tested for geographic clustering of bystander CPR, and its associations with community socioeconomic features.
Methods
Secondary analysis of adult OHCA subjects (2010-2015) in the Cardiac Arrest Registry to Enhance Survival (CARES) dataset for Kent County, MI. After linking geocoded OHCA cases to US census data, we used Moran's I test to assess for spatial autocorrelation of population-weighted cardiac arrest rate by census block group. Getis-Ord Gi statistic assessed for spatial clustering of bystander CPR, and mixed-effects hierarchical logistic regression estimated adjusted associations between community features and bystander CPR.
Results
Of 1,592 subjects, 1,465 met inclusion criteria. Geospatial analysis revealed significant clustering of OHCA in more populated/urban areas. Conversely, bystander CPR was less likely in these areas (99% confidence) and more likely in suburban and rural areas (99% confidence). Adjusting for clinical, demographic, and socioeconomic covariates, bystander CPR was associated with public location (OR 1.19; 95%CI 1.03-1.39), initially shockable rhythms (OR 1.48; 95%CI 1.12-1.96), and in urban neighborhoods (OR 0.54; 95%CI 0.38-0.77).
Conclusions
OHCA and bystander CPR are geographically clustered in Kent County, MI, but bystander CPR is inversely associated with urban designation. These results offer new insight into bystander CPR patterns in mixed urban and rural regions, and afford the opportunity for targeted community CPR education in areas of low bystander CPR prevalence.
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