Abstract

Introduction: Out of hospital cardiac arrest (OHCA) incidence rates may vary across regions. Prior studies measured OHCA variability by the location of the OHCA, rather than the victim's place of residence, thereby omitting potentially important demographic predictors of OHCA. Objectives: To measure variability of OHCA rates by residential address within a large urban centre, and the characteristics of persons living in areas that are associated with a higher rate of OHCA. Methods: We included 5656 adults aged 20+ y who experienced an OHCA in Toronto, Canada from 2006-2010. Each OHCA patient's home address was spatially mapped to 1 of 527 census tracts (CT). In order to assess variability we conducted (1) point cluster analysis using SatScan software, which identified areas with significantly higher counts of OHCA; (2) Poisson regression models were used to assess the OHCA relative risk (RR) by CT (after adjusting for age and sex); (3) We assessed the relationship between OHCA rates and socioeconomic (SES) variables within each CT. Results: Incidence of OHCA varied widely by CT (Figure 1). Adjustment for age and sex did not alter this variation. Cluster analysis identified 4 geographically distinct areas where there was higher risk of OHCA compared to adjacent CTs. With respect to SES variables, CTs with a higher median household income had a lower risk of OHCA (RR 0.98 per $10000 increase in income, 99% CI 0.95-1.00), as did CTs with higher education status (RR 0.996 per 1% increase in education, 99% CI 0.992-0.999). CTs with a higher percentage of South Asians (SA) were not at higher risk of OHCA (RR 1.003 per 1% increase in SA population, 99% CI 0.997-1.009), but those with a higher percentage of Afro-Caribbeans (AC) were (RR 1.007 per 1% increase in AC population, 99% CI 1.002-1.013). Conclusions: The risk of OHCA varies by the features of one's place of residence. Further study is required to investigate possible causes for these variations.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call