Data Analysis & Reporting Flashcards
7 cards from real ABCS 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 cosmetic surgery practice wants to determine if there is a relationship between patient BMI and postoperative wound healing complications. Which statistical test is most appropriate?
Answer: Pearson correlation
Pearson correlation measures the linear relationship between two continuous variables such as BMI and a continuous healing score.
In cosmetic surgery data reporting, 'incidence' refers to which of the following?
Answer: The proportion of new cases arising in a population over a defined time period
Incidence specifically counts new cases occurring within a specified time frame in a defined population.
A board-certified cosmetic surgeon's data dashboard shows an upward control chart violation (8 consecutive points above the mean). What does this signal?
Answer: A statistically significant shift in the process
Eight consecutive points on one side of the mean is a classic Western Electric rule violation, signaling a non-random process shift.
Which data quality dimension is most at risk when a cosmetic practice relies solely on insurance billing codes to track complication rates?
Answer: Accuracy
Billing codes may be up-coded, down-coded, or not reflect the clinical reality, compromising the accuracy of complication data.
For a cosmetic surgery outcomes database, what does a high intraclass correlation coefficient (ICC) indicate?
Answer: Strong agreement between raters or repeated measurements
ICC measures reliability and consistency; a high ICC indicates strong agreement among raters or across repeated measurements.
When reporting adverse event rates per procedure to the ABCS, why is using a 'rate per 1,000 procedures' preferred over reporting raw counts?
Answer: Rates allow fair comparison across practices of different volumes
Normalizing to a common denominator (e.g., per 1,000 procedures) allows meaningful comparison regardless of practice volume.
A surgeon reviews their rhinoplasty revision data using a funnel plot. What is the primary purpose of this visualization in surgical quality reporting?
Answer: To identify outlier performers accounting for sample size variation
Funnel plots place performance metrics within control limits that widen for smaller samples, helping identify true outliers versus chance variation.