B - CHAPTER IV: QUALITY CONTROL IN CLINICAL CHEMISTRY Flashcards
– a degree to which a set of inherent characteristics fulfills requirements (ISO 9001:2008)
QUALITY
- part of quality management focused on fulfilling quality requirements (ISO 9000:2000)
QUALITY CONTROL
• System of assuring the quality of total laboratory performance
QUALITY CONTROL
• Involves the periodic systematic surveillance of people, tools, methods and reagents
QUALITY CONTROL
– part of quality management focused on providing confidence that the quality requirements will be fulfilled (ISO 9000:2000)
QUALITY ASSURANCE
- Set of activities or plan that aims to maintain the highest degree of excellence for the diagnosis & treatment of disease and maintenance of health
QUALITY ASSURANCE PROGRAM
AREAS of QUALITY CONTROL:
- All [?] are involved.
- The laboratory’s relation to other [?]
- Laboratory [?] should be collected in a manual to be revised at least once a year or when procedures are changed.
patients, laboratory personnel, laboratory equipment, and laboratory tests
hospital departments
policies and procedures
SYSTEM CONCEPTS of QUALITY CONTROL:
– establishes norms that must be met
- Quality Control Surveillance System (QCCS)
– established to offer education of why errors occur; provide a program to remedy defects
- Q.C. Corrective System
– established to prove that corrective measures have produced favorable results.
- Objective Q.C. Parameters
PROCEDURES in QUALITY ASSURANCE PROGRAM
A. CONTROL of PRE-ANALYTICAL VARIABLES FACTORS:
B. CONTROL OF ANALYTICAL VARIABLES MAIN FACTORS:
- Choice of analytical methodology
- Calibration procedures
- Proper documentation of analytical variables
- Proper labeling & use of reagents
- Preventive maintenance of analytical instruments
- Periodic calibration of pipetting devices
- Periodic checking of °T of refrigerator & heating units
- Periodic checking of procedure manuals
- Monitoring of technical competence
- Inventory of control materials
- Control assurance that safety measures are operational
C. CONTROL of POST-ANALYTICAL VARIABLES FACTORS:
- Verification of calculations of the final results
- Check test results for possible transcription errors
- Results should be easy to read & interpret
- Timeliness of reporting values to patient chart
- Procedures for informing physicians about results that require immediate attention
FACTORS Involved in QUALITY CONTROL
- STANDARD
- CONTROL MATERIAL
o A substance of known composition
STANDARD
o Its value is established by an analytical procedure different from that used in the clinical laboratory
STANDARD
o A substance which resembles the unknown specimen (patient’s sample)
CONTROL MATERIAL
o Analyzed daily together with the unknown
CONTROL MATERIAL
o The values obtained from the assays are used for the computation of the mean and the SD
CONTROL MATERIAL
Types of Control Material:
a. Commercial Control Sera
b. Pooled Sera
- are collected daily in the laboratory and pooled for storage in the refrigerator
Excess non-hemolyzed sera without gross lipemia
- When [?] are collected, centrifuge to remove gross contamination
1 – 2 liters
- Filter and divide into aliquots of [?] each
5 mL
- Stopper and store at
-20°C
- [?] as needed and mix well before use
Thaw
ELEMENTS of QUALITY CONTROL:
– extent to w/c the measurement approximates the true value of the quantity being measured
ACCURACY
– a.k.a reproducibility; degree to w/c repeated results agree to each other
PRECISION
– ability of a method to detect a particular substance w/o the interference of some other substances present in the sample
SPECIFICITY
– ability of a method to detect even the smallest amount of that particular substance tested for
SENSITIVITY
– ability of a method to maintain its accuracy & precision over an extended period of time 6. PRACTICABILITY – degree to w/c the method is easily repeated
RELIABILITY
STATISTICAL CONCEPTS in QUALITY CONTROL
➢ A statement of the extent of random variation in any series of measurement
STANDARD DEVIATION
➢ A measure of the distribution of values around the mean
STANDARD DEVIATION
Square of the standard deviation
VARIANCE (s2)
Used to detect significant differences between groups of data
VARIANCE (s2)
Determine contributions of various factors to the total variation
VARIANCE (s2)
Percentile expression of the mean
COEFFICIENT OF VARIATION
Measure of the relative magnitude of variability
COEFFICIENT OF VARIATION
QUALITY CONTROL Associated Activities:
- Assay of control samples
- Instrument maintenance
- Statistical Data Analysis
- Proficiency testing survey
ASPECTS which the laboratory should avoid or minimize:
- Analytical Bias
- Random Analytical Variability
3.ERRORS
❖ Reported values do not fall along the line of slope when graphed
Analytical Bias
❖ Reported lab results do not correspond to the correct value
Analytical Bias
Types of Analytical Bias:
a) Proportional bias
b) Constant bias
c) Combined bias
Problem on Accuracy (Bias) =
Systematic Error
Refers to laboratory analyses that are subject to imprecision
Random Analytical Variability
Random Analytical Variability Types:
A. Proportional variability
B. Constant variability
Problem on Precision (CV)
Random Error
– can be systematic or personnel-related
ERRORS
TYPES OF ERRORS:
A. RANDOM ERRORS
B. SYSTEMATIC ERRORS
Sources cannot be completely controlled or identified
RANDOM ERRORS
Increase the extent of variability of results
RANDOM ERRORS
- Pipets & volumetric glassware w/ manufacturing variation; electronic & optical variations in instruments (e.g. spectrophotometers)
RANDOM ERROR
- Variations in the cuvet
RANDOM ERROR
- Variations in timing & °T control
RANDOM ERROR
- Variations in light, evaporation & °T on serum sample
RANDOM ERROR
- Interferences from other substances in the sample
RANDOM ERROR
Displace the mean value on one direction (may be up or down), but do NOT affect the overall variability as shown by the SD value
SYSTEMATIC ERRORS
- Aging phenomena – decomposition of reagents during storage
SYSTEMATIC ERROR
- Personal bias of the analyst
SYSTEMATIC ERROR
- Laboratory bias
SYSTEMATIC ERROR
- Inter- & intra-individual bias
SYSTEMATIC ERROR
- Experimental errors or changes in the methods
SYSTEMATIC ERROR
- Series of values on the control chart that continue to increase or decrease for at least a period of six (6) consecutive days
TREND
CAUSES of UPWARD TREND:
o Expired lamps/photocells
o Denatured standard
o Contamination of reagents
CAUSES of DOWNWARD TREND:
o Standards that are too concentrated
o Contamination of reagent
- Values that distribute themselves on one side of the mean for at least six (6) consecutive days
SHIFT
CAUSES of UPWARD SHIFT:
o Partial electrical failure in instrument
o New standard is over-diluted
o Denatured standard that has stabilized
o Improperly prepared reagent
o Inaccurate timer
o Deteriorated indicator
o Dirty glassware
o Overheating in °T-sensitive analysis
CAUSES of DOWNWARD SHIFT:
o Increased concentration of standard & reagents
o Contaminated reagents
o Inaccurate timer
o Under-heating in analysis
o Contaminated glassware
DIVISIONS of QUALITY CONTROL
INTRALABORATORY / INTERNAL
INTERLABORATORY / EXTERNAL
Q.C. procedures performed on a daily basis within individual laboratories
INTRALABORATORY / INTERNAL
INTRALABORATORY / INTERNAL Monitoring is carried out using:
o Levey – Jennings Chart
o Westgard Multi-rule Chart
o CUSUM Technique
Performed on a less frequent basis (e.g. 3x a year) to compare performance b/w or among laboratories
INTERLABORATORY / EXTERNAL
– graphical representations that display the control observation as a function or time
QUALITY CONTROL CHARTS
Control results are plotted on the Y-axis (ordinate) vs time on the X-axis (abscissa)
LEVEY – JENNINGS CHART
IN-CONTROL:
All control values are w/in ± 2SD
One outlier in 20 determinations
OUT-OF-CONTROL:
Presence of two or more outliers
Presence of a Trend
Presence of a Shift
- a control value that goes beyond ±2SD
Outlier
Causes of Outlier
o Contamination of a single specimen
o Faulty pipette
o Incorrect dilution of test
Uses a series of control rules for interpreting data
WESTGARD MULTIRULE CHART
False rejection is kept low
WESTGARD MULTIRULE CHART
Error detection is improved
WESTGARD MULTIRULE CHART
Analyse samples of the control material by the analytical method to be evaluated (at least 20 days)
WESTGARD MULTIRULE CHART
One control observation exceeds ±2SD Warning
12S
2 consecutive values exceed ±2SD
22S
One value exceeds ±3SD
13S
One value exceeds +2SD & the other value exceeds -2SD
R4S
4 consecutive values exceed ±1SD
41S
10 consecutive values fall on one side of the mean
10X
Hands-on process with the single mantra of “improvement”
SIX SIGMA
SIX SIGMA Improved:
performance
quality
bottom line
customer satisfaction
employee satisfaction
The # of defects per million opportunities (DPMO) is measured
SIX SIGMA
Provides a display of the differences b/w the observed values & the expected mean
CUMULATIVE SUM (CUSUM) CHART
Obtain the CUSUM by adding the difference (value from the mean) to the CUSUM of the previous differences
CUMULATIVE SUM (CUSUM) CHART
o Examine the slope of the CUSUM line
CUMULATIVE SUM (CUSUM) CHART
o A steep slope suggests the presence of SE (Out of Control)
CUMULATIVE SUM (CUSUM) CHART
– found in clin. Laboratories w/ microcomputer Q.C. programs
o DECISION LIMIT CUSUM
Laboratory’s observed mean for material A (Y-axis) compared to the observed mean for material B (X-axis)
YOUDEN PLOT / SCATTER DIAGRAM
Information about the nature of the SE can be obtained when two diff. control materials have been analyzed
YOUDEN PLOT / SCATTER DIAGRAM
OTHER QUALITY CONTROL TOOLS
- CHECK SHEET
- PARETO CHART
- CAUSE & EFFECT DIAGRAM
- FLOW CHART
- HISTOGRAM
- Presents information in an efficient, graphical format
CHECK SHEET
- Accomplished with a simple listing of items
CHECK SHEET
- Used to identify factors that have the greatest cumulative effect on the system
PARETO CHART
- Ishikawa or Fish bone diagram
CAUSE & EFFECT DIAGRAM
- Used to associate multiple possible causes with a single effect
CAUSE & EFFECT DIAGRAM
- Primary branch
CAUSE & EFFECT DIAGRAM
- Major branches
CAUSE & EFFECT DIAGRAM
- Minor branches
CAUSE & EFFECT DIAGRAM
- Pictorial representations of a process
FLOW CHART
- Used in identifying where errors are likely to be found in the system
FLOW CHART
- Provides a simple, graphical view of accumulated data, including its dispersion & central tendency
HISTOGRAM
- Ease of construction
HISTOGRAM
- Patient identification
- Proper preparation of patient
- Specimen collection, separation & processing
- Choice of analytical methodology
- Calibration procedures
- Proper documentation of analytical variables
- Proper labeling & use of reagents