Data Analysis & Reporting Flashcards
7 cards from real ECC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analysis & Reporting flashcards as text
In a cardiac arrest registry, which metric best reflects the quality of post-resuscitation care?
Answer: Survival to hospital discharge with favorable neurological outcome
Survival to hospital discharge with favorable neurological outcome (CPC 1-2) is the gold-standard outcome metric because it captures both survival and meaningful recovery.
A hospital's Utstein-style report shows a 10% gap between ROSC rate and survival to discharge. This gap most likely reflects deficiencies in:
Answer: Post-resuscitation care protocols
The gap between ROSC and discharge survival is largely attributable to post-resuscitation care quality, including targeted temperature management and hemodynamic optimization.
When analyzing EMS response time data, which statistical measure is most appropriate for a dataset with significant outliers?
Answer: Median
Median is preferred over mean for skewed datasets with outliers because it represents the central value without being distorted by extreme values.
A QI committee notes that CPR compression fraction improved from 55% to 72% over 12 months. Which data source is most reliable for measuring CPR compression fraction?
Answer: Accelerometer-equipped defibrillator download data
Accelerometer data from code-capable defibrillators provides objective, time-stamped CPR quality metrics including compression fraction, rate, and depth.
Which Utstein variable is used to stratify OHCA outcomes to enable meaningful hospital-to-hospital comparisons?
Answer: Witnessed status and initial rhythm
Witnessed status and initial rhythm (shockable vs. non-shockable) are core Utstein stratifiers that allow risk-adjusted outcome comparisons across systems.
A data analyst finds that a hospital's STEMI door-to-balloon time average is 62 minutes, but the 90th percentile is 110 minutes. What does this distribution suggest?
Answer: The average is misleading; a subset of cases have significantly delayed treatment
A mean of 62 minutes with a 90th percentile of 110 minutes indicates right skew — most cases are fast but a significant minority experience dangerous delays.
In cardiac arrest quality improvement, which concept describes tracking the chain of survival as a series of time-interval metrics?
Answer: Utstein time point analysis
Utstein time point analysis defines discrete time intervals (collapse to call, call to CPR, CPR to defibrillation) enabling identification of where delays occur in the chain of survival.