Health Data Analytics Flashcards
7 cards from real CPHQ practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Health Data Analytics flashcards as text
Which statistical measure is most appropriate for describing the central tendency of highly skewed healthcare cost data?
Answer: Median
The median is preferred for skewed distributions because it is not influenced by extreme outliers, which are common in healthcare cost data.
A hospital wants to compare its catheter-associated urinary tract infection (CAUTI) rate to national benchmarks. Which data source provides the most appropriate national comparison?
Answer: The National Healthcare Safety Network (NHSN)
NHSN is the CDC's surveillance system specifically designed for tracking healthcare-associated infections and provides standardized national benchmarks.
What does a run chart's 'shift' signal rule require to indicate a non-random pattern?
Answer: 7 or more consecutive points on one side of the median
A shift is defined as 7 or more consecutive data points on the same side of the median, indicating a non-random pattern likely due to a special cause.
In regression analysis applied to quality improvement, what does an R-squared value of 0.85 indicate?
Answer: 85% of the variation in the outcome is explained by the predictor variables
R-squared (coefficient of determination) represents the proportion of variance in the dependent variable that is predictable from the independent variables.
Which data collection method introduces the most potential for Hawthorne effect bias?
Answer: Direct observation of clinical staff
Direct observation is most susceptible to the Hawthorne effect, where subjects alter their behavior because they know they are being watched.
A quality analyst is reviewing readmission data and finds the rate varies significantly by discharge day of the week. This is an example of which type of variation?
Answer: Stratification revealing a true difference
Stratifying data by discharge day reveals a real subgroup difference, which is a key analytical technique for identifying root causes of variation.
What is the primary purpose of risk adjustment in healthcare quality measurement?
Answer: To enable fair comparison of outcomes across providers with different patient populations
Risk adjustment accounts for differences in patient case mix so that outcome comparisons between providers reflect care quality rather than patient characteristics.