You have achieved ___ points out of a maximum score of 10!
Is this good or bad? The average final year medical student got only 5 out of 10 answers correct! Professors of medicine and other medical faculty got only 7-8 correct. This shows that medical education still fails to teach health statistics efficiently.
The Quick Risk Test was developed by Mirjam Annina Jenny, Niklas Keller, and Gerd Gigerenzer in 2018. In their study they assessed minimal medical statistical literacy in medical students and senior educators using the Quick Risk Test and whether deficits in statistical literacy are stable or can be reduced by training (spoiler: they can).
Correct answers:
1: A test's sensitivity is the proportion of people with a positive test result among those who are sick.
2: The specificity is the proportion of people with a negative test result among those who are healthy.
3: The positive predictive value quantifies the probability that a person with a positive test result actually has the disease.
4: The negative predictive value quantifies the probability that a person with a negative test result does not have the disease.
5: You need the prevalence for the calculation.
6: About 1 in 10 women with a positive screening mammogram actually have breast cancer.
7: It is often reported that screening with mammography lowers the probability of dying from breast cancer by 20%. That number is a relative risk reduction.
8: If a patient asks you about the benefits of cancer screening, you should consider the mortality rate.
9: The lead-time bias explains why both groups have different 5-year survival rates.
10: A higher screening rate results in more positive diagnoses. An overdiagnosis bias occurs when screening discovers anomalies whose extremely slow growth would never cause symptoms or an early death.
