Critical Inquiry and Evidence Based Practice Flashcards
Selection bias
Study subjects of diagnostic test in question are not representative of the population on whom the test is typically applied
Ie: control group of ACL diagnostic test has no history of knee pain. Ideally control and experimental group have equal chances of having an ACL injury
Verification bias
The reference standard is not applied consistently to all subjects when assessing efficacy of a diagnostic test. Can lead to overestimating diagnostic accuracy of the diagnostic test
Incorporation bias
Reference standard includes the diagnostic test being studied. May inflate the accuracy of the diagnostic test
Review bias
Bias that occurs if either the reference standard or diagnostic test in question is judged by an individual with knowledge of the other result
Sensitivity
Measure of individuals in a population who have a condition. High Sn can help rule out a condition when negative
Sn = (true positive)/(all individual who have condition)
Sn = (true pos)/(true pos + false neg)
Specificity
Proportion of people without a condition that tested negative. High specificity can help rule in a condition when test is positive
Sp = (true negatives)/(all individuals who do NOT have condition)
Sp = (true negatives)/(true negatives + false positives)
Positive predictive value
Proportion of people who test positive who actually have condition (proportion of patience with positive results who are correctly diagnosed)
Limited clinical value due to susceptibility to selection bias, based on prevalence of a condition within sample group
Negative predictive value
Proportion of people who test negative that do not have the condition
Limited clinical value due to susceptibility to selection bias, depending on prevalence of condition within sample group
+LR
Very powerful statistic for ruling in a condition if test is positive. Has high potential of improving post-test probability of a condition. Ideally +LR > 10
+LR = Sn / (1 - Sp)
-LR
Very powerful statistic for ruling out a condition if the test is negative. Ideally -LR < 0.10
-LR = (1 - Sn)/Sp
95% confidence interval
Range of values within which we have 95% certainty. Large confidence interval limits clinical usefulness of a test
Chi square statistic
Tests the hypothesis that the diagnostic test result and reference standard have no association
Limited clinical usefulness on its own
Kappa coefficient
Measure of reliability. Cannot be used in isolation bc may lead to clinician potentially excluding tests with low reliability when test has good Sn, Sp, or +/- LR. Conversely, may lead to clinician including a very weak diagnostic test that has good reliability
External validity
Ability of a measure to predict or relate to outcomes beyond the population of a given trial
Construct validity
How well a test measures the concept it was designed to evaluate