Perspectives in Data Interpretation Flashcards
What is the phase of error is most common
Pre-Analytical Phase
Analytical Phase
Errors with the analyzer - instrument function, personnel knowledge and training, SOPs
Reference Interval
Describes flunctuations of disease in a healthy population
Diagnostic Specificity
Measures the frequency with which a test result will be negative in animals that do not have the disease of interest
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A specific result helsp rule in a diseas
Negative Predicitve Value
Probability that a negative test result truly indicates the animal does not have the disease.
Technical Effects
Errors due to sampling technique and specimen management before analysis
Negative Predictive Value =
NPV = TN / (TN+FN) x 100%
Biogical Factors in pre-analytical error
Errors inherent with the animal sampled
How many animals sampled would make a great reference interval?
> 120
Diagnostic Accuracy
Measures the frequncy that a test correctly classifies an animal as having or not having a disease
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High diagnostic accuracy has few false positives and false negatives
Positive Predictive Value =
PPV = TP/ (TP+FP) x 100%
Post-Analytical Phase
Errors in transcription
Misinterpretation / misreading results
3 phases of error
Pre-Analytical Phase
Analytical Phase
Post-Analytical Phase
Positive Predictive Value
Probability that a positive (abnormal) test result truely indicates teh animal has the disease
2 major categories of errors that occur during the pre-analytical phase
Technical Effects
Biological Factors
Pre- Analytical Phase
Process that starts in chronological order, from the clinicians request and include the examination request, preparation and identification of the patient, collection of the primary sample and transportaion to and within the laboratory and end when the analytical examination begins
Diagnostic Sensitivity
Measures the frequency in which a test result will be positive in animals with the disease of interest
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A senstive test helps rule out a disease when the result is negative
