2010
DOI: 10.1016/j.annemergmed.2009.09.018
|View full text |Cite
|
Sign up to set email alerts
|

Predicting Survival After Out-of-Hospital Cardiac Arrest: Role of the Utstein Data Elements

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
102
1

Year Published

2012
2012
2022
2022

Publication Types

Select...
9
1

Relationship

4
6

Authors

Journals

citations
Cited by 196 publications
(112 citation statements)
references
References 33 publications
5
102
1
Order By: Relevance
“…In 2010, Rea and colleagues observed that the core Utstein data elements, a set of internationally recognized OHCA process of care variables believed to be associated with survival and explain geographic differences in outcome, collectively accounted for only 43.7% of the between-community survival difference among EMS-treated cardiac arrest. 4,5 One way that community response to OHCA differs is in the number of emergency medical services (EMS) personnel dispatched to provide on-scene treatment. 6 This generally depends on EMS organizational structure.…”
Section: Introductionmentioning
confidence: 99%
“…In 2010, Rea and colleagues observed that the core Utstein data elements, a set of internationally recognized OHCA process of care variables believed to be associated with survival and explain geographic differences in outcome, collectively accounted for only 43.7% of the between-community survival difference among EMS-treated cardiac arrest. 4,5 One way that community response to OHCA differs is in the number of emergency medical services (EMS) personnel dispatched to provide on-scene treatment. 6 This generally depends on EMS organizational structure.…”
Section: Introductionmentioning
confidence: 99%
“…Complete information about, for example, the quality of CPR or the timing of care was not routinely available and would likely help explain relationships; however, the goals of the project favored broad participation, and detailed comprehensive data collection was not feasible for many stakeholders because many systems were new to case capture and reporting. Classification of etiology can be difficult to determine in some cases, and variable approaches to classification could produce bias, although investigations of etiology suggest that cardiac etiology accounts for the large majority of arrests in North America, and etiology is not associated with outcome 34. We acknowledge the variability in published OHCA incidence estimates; however, our case ascertainment rates were based on estimates developed through a systematic review of published literature 16, 35.…”
Section: Discussionmentioning
confidence: 99%
“…7 But despite the vast amount of evidence implicating the Utstein variables as the main predictors of survival, few studies to date have investigated non-Utstein variables as predictors of survival and their influence on outcome variability. 3,7 In OHCA, socioeconomic status (SES) [8][9][10][11][12][13][14] and race/ ethnicity [14][15][16][17][18][19][20][21][22][23][24] have been studied in relation to survivalto-hospital discharge and bystander CPR. These results are often contradictory and inconclusive, and these studies were limited in scope, only including one or two non-Utstein variables.…”
Section: Introductionmentioning
confidence: 99%