Case definition in survival studies of out-of-hospital cardiac arrest☆
Correspondence
- Address reprint requests to Dr Joslyn, Community Health Education, University of Northern Iowa, Cedar Falls, IA, 50614-0241.

Correspondence
- Address reprint requests to Dr Joslyn, Community Health Education, University of Northern Iowa, Cedar Falls, IA, 50614-0241.
To view the full text, please login as a subscribed user or purchase a subscription. Click here to view the full text on ScienceDirect.
Abstract
The purpose of this investigation was to determine problems with case definition and selection biases in studies of survival from out-of-hospital cardiac arrest, by comparing characteristics of subjects with cardiac arrest who entered the emergency medical services (EMS) system and those who did not enter the system. Data for 143 prehospital cardiac arrest patients in Johnson County, Iowa, were obtained from death certificates and EMS reports. Approximately one half of cardiac arrest patients entered the EMS system. Mean total number of causes of death listed on death certificates was significantly higher in subjects who did not enter the EMS system. Several factors, including age, sex, and number of causes of death listed on death certificates were significant univariate factors in whether a cardiac arrest victim entered the EMS system, but multivariate logistic regression indicated age by itself was the most significant factor. These results indicate there are possible initial biases determining who will enter the EMS system, which affects the generalizability of previous studies.
Keywords:
Case definition, emergency medical services, out-of-hospital cardiac arrest, selection biases, survivalTo access this article, please choose from the options below
Purchase access to this article
Claim Access
If you are a current subscriber with Society Membership or an Account Number, claim your access now.
Subscribe to this title
Purchase a subscription to gain access to this and all other articles in this journal.
Institutional Access
Visit ScienceDirect to see if you have access via your institution.
☆Supported by the National Institute on Aging (NIA) #5T32 AG00162, Training Program in Epidemiology and Biometry of Aging.
Article Tools
Related Articles
Searching for related articles..
