Chapter 34: Quality Assurance Flashcards
the overall percentage of correct results
accuracy
a well-established and reliable testing parameter, which, for vascular disease, is often angiography
gold standard
the evaluation of one’s work by other experts in the same field
peer review
it is the ability of a test to detect disease
sensitivity
it is the ability of a test to correctly identify a normal result
specificity
a program for the systematic monitoring and evaluation of the various aspects of vascular testing to ensure that standards of quality are met
quality assurance
making effective use of numerical data relating to groups of individuals or experiments
statistics
compare one form of a diagnostic test with another that is well-established, reliable, and considered reference standard
“gold standard”
assumed to be the truth
“gold standard”
number of studies performed which state disease is present and gold standard agrees
true positives
number of negative findings reported that were also reported negative by gold standard
true negatives
studies that are reported positive but found to be negative by the gold standard
false positives
states that a study is normal when gold standard identifies disease
false negatives
the degree of “closeness” something is to its actual value
accuracy
percentage of correct results
accuracy
calculated as total number of correct tests divided by the total number of all tests
accuracy
measures the proportion of actual positives studies correctly identified
sensitivity
ability to identify disease when disease is present
sensitivity
calculated by taking TP results and dividing by all positive results determined by gold standard
sensitivity
ability of a test to identify something as normal or the absence of disease
specificity
calculated by dividing the number of TN results by all the negative results as identified by gold standard
specificity
consistency of obtaining similiar results in similar circumstances
reliability
accuracy over a period of time
reliability
proportion of patients with positive test results that are correctly identified
positive predictive value
provides probability that positive test reflects underlying disease for which the test is being conducted
positive predictive value
calculated at the number of TP studies divided by all the positive studies
positive predictive value