Data Analysis & Reporting Flashcards
7 cards from real CRE practice questions. Tap to flip, then mark Knew It or Still Learning โ missed cards come back until you master them.
Read the first 7 Data Analysis & Reporting flashcards as text
A CRE reviews CPAP compliance data showing average nightly use of 4.2 hours. According to CMS criteria, this patient is considered:
Answer: Fully compliant
CMS defines CPAP compliance as at least 4 hours of use per night on 70% of nights over a 30-day period; 4.2 hours meets the nightly threshold.
When analyzing a run chart for inhaler error rates, a signal of special cause variation is detected when:
Answer: Six or more consecutive points fall on the same side of the median
Six or more consecutive points on one side of the median (a 'run') signals non-random special cause variation in run chart analysis.
A respiratory educator is reporting outcomes from a smoking cessation program. A 12-month biochemically verified quit rate of 22% should be compared against which benchmark?
Answer: National average cessation rates from population studies
Biochemically verified 12-month quit rates should be benchmarked against national population-level cessation data to contextualize program effectiveness.
In reporting COPD patient education outcomes, which measure best captures the patient's perspective on impact of disease?
Answer: COPD Assessment Test (CAT) score
The CAT is a validated patient-reported outcome measure that captures the subjective impact of COPD on daily life and wellbeing.
A CRE wants to determine whether a new asthma education intervention caused the observed improvement in control scores, rather than natural disease fluctuation. The strongest study design to confirm causation is:
Answer: Randomized controlled trial with control group
An RCT with a control group is the gold standard for establishing causation by controlling for confounders and natural disease variation.
A CRE reports that the positive predictive value of a dyspnea screening questionnaire is 70%. This means:
Answer: 70% of positive screens actually have clinically significant dyspnea
Positive predictive value is the proportion of positive test results that are true positives, indicating how reliable a positive result is.
Which data visualization format is most effective for presenting changes in multiple outcome measures (e.g., FEV1, 6MWT, CAT) before and after pulmonary rehab in a program report?
Answer: Grouped bar chart
A grouped bar chart allows side-by-side comparison of pre- and post-values for multiple outcome variables in a single readable graphic.