CMC Data Analysis & Reporting 2 — Questions and Answers
Question 1: In cardiac registry data, what does 'risk-adjusted mortality' account for that crude mortality does not?
- Random sampling error
- Differences in patient baseline risk across providers (Correct answer)
- Seasonal variation in cardiac events
- Hospital staffing ratios
Correct answer: Differences in patient baseline risk across providers
Risk-adjusted mortality controls for differences in patient severity and comorbidities, enabling fair comparison across hospitals or providers.
Question 2: A cardiac catheterization lab reports a 30-day MACE rate of 4.2%. Which denominator is most appropriate for this metric?
- All hospital admissions
- All patients who underwent PCI or diagnostic catheterization (Correct answer)
- Only STEMI patients
- Only elective procedure patients
Correct answer: All patients who underwent PCI or diagnostic catheterization
MACE rates should be calculated using the full population of patients who underwent the relevant procedure to accurately reflect lab performance.
Question 3: Which statistical method is best for identifying whether a cardiac program is an outlier compared to national benchmarks?
- Simple linear regression
- Funnel plots with control limits (Correct answer)
- Chi-square goodness-of-fit test
- Kaplan-Meier survival analysis
Correct answer: Funnel plots with control limits
Funnel plots visually display performance against a benchmark while accounting for volume, identifying true outliers within expected statistical variation.
Question 4: What is the purpose of a 'run chart' in cardiac quality monitoring?
- To display the distribution of a single variable
- To track a process measure over time and detect trends or shifts (Correct answer)
- To compare two categorical variables
- To calculate sensitivity and specificity of a diagnostic test
Correct answer: To track a process measure over time and detect trends or shifts
Run charts plot data sequentially over time, allowing identification of non-random patterns such as trends, shifts, or cycles in cardiac quality metrics.
Question 5: A cardiologist reviews door-to-balloon (DTB) time data with a median of 58 minutes and a mean of 74 minutes. What does this discrepancy most likely indicate?
- Data entry errors in most records
- A positively skewed distribution with some very long DTB times (Correct answer)
- A normally distributed dataset
- Systematic underreporting of DTB times
Correct answer: A positively skewed distribution with some very long DTB times
When the mean exceeds the median significantly, the distribution is right-skewed, meaning a subset of cases with very long DTB times is pulling the mean upward.
Question 6: For a cardiac quality dashboard, which metric is considered a 'process measure' rather than an 'outcome measure'?
- 30-day readmission rate after heart failure hospitalization
- In-hospital mortality after CABG
- Percentage of AMI patients receiving aspirin at discharge (Correct answer)
- Major bleeding complication rate post-PCI
Correct answer: Percentage of AMI patients receiving aspirin at discharge
Aspirin at discharge is a process measure reflecting adherence to guideline-recommended care, while the others measure patient outcomes.
Question 7: When analyzing cardiac surgery outcomes, what is the primary advantage of using the STS (Society of Thoracic Surgeons) risk score for risk adjustment?
- It is simpler to calculate than other risk scores
- It was developed and validated specifically on cardiac surgery populations (Correct answer)
- It requires fewer data elements than general risk scores
- It predicts only in-hospital mortality
Correct answer: It was developed and validated specifically on cardiac surgery populations
The STS risk score was built and continuously recalibrated using large cardiac surgery databases, making it highly specific and validated for this population.
CMC Data Analysis & Reporting 2
In cardiac registry data, what does 'risk-adjusted mortality' account for that crude mortality does not?