Data Analysis & Reporting Flashcards
7 cards from real CMC 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
A CMC candidate reviews a study reporting p=0.04 for a new antiarrhythmic drug. What does this p-value mean?
Answer: If the null hypothesis were true, there is a 4% probability of observing results this extreme or more
The p-value is the probability of obtaining the observed data (or more extreme) assuming the null hypothesis of no effect is true.
In cardiac imaging reporting, standardized structured reports are preferred over narrative reports primarily because they:
Answer: Improve completeness, reduce omissions, and facilitate data extraction for quality analysis
Structured reports enforce completeness by requiring all key elements, reducing variability and enabling systematic data extraction for registry submissions and quality review.
Which measure best captures the short-term effectiveness of a rapid response team for cardiac events in a general hospital ward?
Answer: Rate of unexpected cardiac arrests outside the ICU
Unexpected cardiac arrests outside the ICU directly measure the rapid response team's ability to identify and intervene before patients deteriorate to arrest.
A hospital notes their STEMI DTB time improved from 85 to 61 minutes after a new protocol, with p=0.001. What additional information is needed to assess clinical significance?
Answer: The effect size and whether the improvement crosses the guideline threshold of ≤90 minutes
Statistical significance alone does not confirm clinical meaningfulness; knowing whether the new time meets the ACC/AHA ≤90-minute benchmark is critical for clinical relevance.
A quality report shows that beta-blocker prescribing at discharge for AMI patients is 94%. Which action is most appropriate?
Answer: Investigate the remaining 6% to identify contraindications versus missed opportunities
Reviewing the non-compliant cases determines whether deviations are appropriate (true contraindications) or represent improvable care gaps.
In multivariate logistic regression analyzing predictors of in-hospital cardiac mortality, what does an odds ratio of 2.3 for diabetes mean?
Answer: Diabetic patients have 2.3 times the odds of in-hospital death compared to non-diabetics, adjusting for other variables
An odds ratio of 2.3 means the odds of the outcome are 2.3 times greater in diabetic versus non-diabetic patients after adjusting for covariates in the model.
Which principle guides the selection of data elements included in a cardiac quality measure set?
Answer: Select measures that are scientifically sound, feasible to collect, and tied to patient outcomes
Quality measure selection follows criteria of scientific validity, feasibility, and meaningful linkage to outcomes that matter to patients and the healthcare system.