Cardiac arrest & resuscitation
The development of a risk-adjustment strategy to benchmark emergency medical service (EMS) performance in relation to out-of-hospital cardiac arrest in Australia and New Zealand
Authors' conclusion
The development of risk adjustment models with good discrimination is an important step in benchmarking EMS performance for OHCA. The Utstein variables are important in risk-adjustment, but only explain a small proportion of the variation in survival.
Study context
- Population
- Adults with EMS-attempted resuscitation for presumed medical out-of-hospital cardiac arrest (OHCA), Australasian Resuscitation Outcomes Consortium (Aus-ROC) OHCA Epistry, Australia and New Zealand, 2017–2019
- Outcome
- Event survival (return of spontaneous circulation at hospital handover) and survival to hospital discharge/30 days
Methodological detailslogistic regression, risk adjustment
- Logistic regression
- Risk adjustment
Main finding
As reported in the abstract
Risk adjustment model performance
Event survival model: concordance statistic
0.77
Event survival model: variation in survival explained
28%
Survival to hospital discharge/30 days model: concordance statistic
0.87
Survival to hospital discharge/30 days model: variation in survival explained
49%
Observational data: associations, not effects.
Further findings
- Addition of effect modifiers did little to improve performance of either model
Original publication
The development of a risk-adjustment strategy to benchmark emergency medical service (EMS) performance in relation to out-of-hospital cardiac arrest in Australia and New Zealand. Resuscitation. Published 19 May 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →