Don’t forget about this single LO on statistics!
It’s not that difficult to learn this material. I would strongly recommend that you read the two references below. They present the material in a straightforward, and very clinically relevant way.
T/F specificity is the ability of a diagnostic test to detect people who do NOT have a disease
T/F to calculate the sensitivity and specificity of a new diagnostic test, you would apply it to a random sample of the general population
T/F a false negative is a person who HAS the disease, but tested negative on a diagnostic test
T/F to know whether a diagnostic test will be of any clinical value, it is essential to know the prevalence of the disease being tested for
T/F positive predictive value tells us the probability that a given patient HAS the disease if the test is positive
Make sure you understand this material well enough to answer this past SAQ….
A new test called the “intubation score” has a reported 90% sensitivity and 70% specificity when used to predict difficult intubation. Describe how this information and other statistics related to this test can be used in predicting difficult intubation. How will the incidence of difficult intubation affect the performance of this test? (pass rates have previously been 29-53%)
- Lalkhen A, McCluskeyA. Clinical tests: specificity and sensitivity. CEACCP 2008; 8: 221-223.
- Yentis S. Predicting difficult intubation – worthwhile exercise or pointless ritual? Anaes 2002; 57: 105-109.