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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
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.