Lecture 10: Quality Control Flashcards
Quality control vs quality assurnace
Quality Control - QC refers to the measures that must be included during each assay run to verify that the test is working properly.
Quality Assurance - QA is defined as the overall program that ensures that the final results reported by the laboratory are correct.
“The aim of quality control is simply to ensure that the results generated by the test are correct. However, quality assurance is concerned with much more: that the right test is carried out on the right specimen, and that the right result and right interpretation is delivered to the right person at the right time”
Consequences of unreliable performance
patient misdiagnosis
delays in treatment
increased costs
What are the 3 types of errors and when do they occur?
Pre-analytical:-
errors before the sample reaches the laboratory
Analytical:-
errors during the analysis of the sample
Post-analytical:-
errors occurring after the analysis
6 forms of pre-analytical errors and example
- Improper preparation of the patient
Not fasted for glucose test
2.Improper collection of the blood sample:
sample haemolysis
LDH, potassium or inorganic phosphate
3.insufficient sample volume
unable to carry out all requested tests
4.collection timing
24 hour urine
5.Incorrect specimen container:-
serum or plasma
fluoride tubes for glucose
to inhibit glycolysis
EDTA unsuitable anti-coagulant for calcium
6.Incorrect specimen storage:-
sample left overnight at room temperature
falsely elevated K, Pi and red cell enzymes
delay in sample delivery
falsely lowered levels of unstable analytes
Other factors on pre analytical errors
The sex of the patient
male or female
The age of the patient
new born / juvenile / adult / geriatric
Dietary effects
low carbohydrate / fat
high protein / fat
When the sample was taken
early morning urine collection pregnancy testing
Patient posture
urinary protein in bed-ridden patients
Effects of exercise
creatine kinase / CRP
Medical history
heart disease / diabetes / existing medication
Pregnancy
hormonal effects
Effects of drugs and alcohol
liver enzymes / dehydration
4 Analytical errors regarding the sample
labelling
barcoding / aliquoting
preparation
centrifugation / aspiration
storage temperature
short –term refrigeration
medium term freezing at –20oC
long term freezing at -80oC
correct test selection
Laboratory Information Management System (LIMS)
Analytical errors regarding glassware/pippetes/balances
used incorrectly
contaminated
poorly calibrated
reuse of pipette tips
Analytical errors regarding reagents, calibrators and controls
poor quality
inappropriate storage
correct temperature
badly maintained fridges or freezers
stability
shelf-life / working reagent
incorrect preparation
Analytical errors regarding the application
incorrect analytical procedures
poorly optimised instrument settings
Anayltical errors regarding the instrument
operational limitations
temperature control/read times/mixing/carry-over
lack of maintenance
worn tubing / optics / cuvettes / probes
5 Anayltical other factors
Calculation errors:
incorrect factor / wrong calibration values
Transcription errors:
Dilutions errors:
incorrect dilution or dilution factor used
Lack of training:
The human factor:
tiredness / carelessness / stress
Post anayltical errors
The prompt and correct delivery of the correct report on the correct patient to the correct Doctor.
How the Clinician interprets the data to the full benefit of the patient.
Accuracy vs percision
Accuracy refers to the agreement between your value and the ‘true’ value, that is how correct your result is.
Accuracy is generally measured by direct comparison to a reference value or more commonly by using assayed quality control serum, with an accurate value assigned by the manufacturer.
When analysed the closer your result obtained is to this target value, the greater your accuracy.
Precision refers to the reproducibility of your results, or the agreement between replicate measurements.
The closer your results, are to each other, for the same analyte in the same serum, the better your precision.
When evaluating a method, precision should be assessed in terms of within run performance (Intra-assay precision) and between run performance (Inter-assay precision).
Sensitivity vs specificity and what do they affect, accuracy or percision?
Sensitivity: The ability to detect small quantities of a measured component.
will affect both precision and accuracy at the bottom end of the assay range.
Specificity: The ability of a method to measure solely the component of interest.
A lack of specificity will affect accuracy
falsely elevated values
hormones and drugs
falsely low values
Bromocresol purple method with bovine albumin
SD and percision
the lower the SD the better the percision