EXTERNAL QUALITY ASSESSMENT (EQA) REPORTS AND THEIR INTERPRETATION
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1 EXTERNAL QUALITY ASSESSMENT (EQA) REPORTS AND THEIR INTERPRETATION Dr Jocelyn Naicker National Health Laboratory Service (NHLS) and University of the Witwatersrand SAACB Education Day 2010
2 EXTERNAL QUALITY ASSESSMENT SCHEME (EQAS) - External agency - Evaluation is performed on several Labs that analyse the same specialised samples - Performed at regular intervals - Frequency may vary between schemes - Retrospective assessment
3 - Compares performance between labs - National/regional basis several: NHLS EQAS, Thistle, UKNEQAS, BIORAD EQAS, RIQAS, CAP, RCPA etc
4 Blind samples Analysis same as patient samples results are returned to EQAS organiser Statistical analysis
5 NHLS EQAS (2001) NHLS labs, public sector, Southern African countries Clinical Chemistry Blood gases TDM monthly Target values for most
6 THISTLE SA National and International Central values Consensus means
7 EQAS of European countries vary widely in the frequency and type of specimen analysed, traget values/consensus means as well as in the criteria for acceptable performance
8 USA (CAP) Proficiency testing became a legal requirement in 1988 when the CLIA (Clinical Laboratories Improvement Amendments) were approved - Frequency of sampling (up to 5 specimens 3x per annum)
9 EQA GOALS 1. An objective external (independent) assessment of the lab s long term performance 2. To alert the lab of problems with accuracy (aimed to at preventing the reporting of incorrect patient results. (failure of internal alerts)
10 3. To provide Management and clients with the confidence that the on-going processes for monitoring analytical processes is sound 4. Identification of group problems (affecting specific anaysers/ reagents/ kits)
11 5. Complimentary to the IQC which monitors daily accuracy of the lab s methods
12 BASIC STATISTICS Mean = x n is the sum of all the measurements divided by the number of measurements
13 Median is the point on the scale that has an equal number of observations above and below. Mode is the most frequently occurring result.
14 TRUENESS defined as the closeness of the agreement between the mean of a large series of measured results and the true concentration
15 BIAS Is the mathematical difference between the mean value of a series of measurements and the true value and is a measurement of SYSTEMATIC ERROR
16 % Bias = Result True value TV x 100
17 ACCURACY defined as the closeness of the agreement between a SINGLE observed measurement and the true concentration and is inversely related to the UOM Influenced by both bias and imprecision and is therefore an expression of Total Error
18 PRECISION refers to the closeness of agreement of a series of independent measurements
19 PRECISION divided into: 1.Repeatability constant conditions ( within run ) 2. Reproducibility changed conditions: - Total/ Between run precision (intermediate precision) - Interlaboratory precision (EQAS)
20 IMPRECISION the inverse relationship of precision is only related to RANDOM ERRORS of measurements expressed as: SD and CV
21 Imprecision LOW
22 Imprecision HIGH
23 Imprecision LOW
24 Imprecision HIGH Bias HIGH
25 Standard Deviation (SD) SD describes scatter around the mean (expressed in the units being measured)
26 Standard Deviation (SD) SD = (X 1 - X) 2 N - 1 Mean absolute deviation
27 Coefficient of Variation (CV) CV(%) = SD x 100 Mean The smaller the CV the more reproducible the results
28 Performance Criteria Which results are Acceptable? A simple method of assessing performance to indicate whether: - persistent dissatisfactory performance - deterioration in performance - any improvement - casual errors
29 STATISTICAL METHODS Statistical Methods are used to assist in determining whether performance is acceptable by analysing, summarising and reporting on observations
30 In assessing performance using these Statistical methods one should always consider performance at the important Medical Decision levels and the clinical impact of unacceptable results
31 How is Objectivity achieved? To enable Clinical relevance of the results obtained the results should be within a certain % of Assigned central values
32 ASSESSMENT OF PERFORMANCE Based on 1.Central Reference value 1. Acceptable Range of performance (Allowable limits of performance)
33 EQAS Assignment of Analyte dependant Central Reference Value: 1. overall mean/median of all participating labs are used to indicate the True value Or 2. Set Target values (specified by each EQAS s program information)
34 How are TARGET VALUES set? 1. Reference labs using Reference methods 2. Labs using Higher order methods - precison, trueness and analytical specificity that is > that in routine labs
35 3. SRM samples by selected Labs 4. Weighed - in values e.g. drugs - EQA samples supplemented with known weights of and analyte
36 ALLOWABLE LIMITS OF PERFORMANCE (ALP) is unique for each analyte considers unavoidable imprecision of the method and normal diurnal variations (BV) TAE calculation
37 ALP Determines the level of error that is required to minimise the risk of adverse outcome when applied to the reporting of patient results
38 ALP includes RANDOM ERRORS due to: 1.Within and between run variability 2. between calibration variability 3. lot to lot variability of reagent/calibrator 4. between analyser variability
39 ALP In addition there may bel SYSTEMATIC ERRORs due to: 1.Calibration standards used 2. Method / Instrument specific factors (Calcium arsenazo vs cresolphthalein complex)
40 ALP Is expressed as : + x from the TV x may be in absolute units or in % or in an absolute value up to a certain limit and a % above a certain limit
41 Standard Deviation Index (SDI) SDI = Lab result Group Mean SD of Group
42 SDI > 2 Lab not in agreement with labs within the Group
43 COEFFICIENT of VARIATION INDEX (CVI) = Lab CV Group CV an index of imprecision
44 BAR GRAPHS/HISTOGRAMS NO. OF LABS CONCENTRATION UNITS Qualitative results Histogram allows quick visualisation if your lab s result falls within the overall results for all methods as well as for your method group
45 HISTOGRAMS Undesirably Low Specimen ALP Undesirably High TARGET VALUE
46 YOUDEN PLOTS when 2 EQA samples high and low are analysed by each lab (same method analytical principle, instrument, reagent) observed results plotted Allows comparison of the relationship of each level s value to the group s performance
47 Low value EQA sample High value EQA sample Blocks = SDs Horizontal and vertical median reference lines have equal no. of observations on either side Central intersection of the median lines = Manhattan median Far away from MM but close to ref line + Systematic error Far from reference lines = large random errors
48 YOUDEN PLOT HIGH VALUE EQA LOW VALUE EQA Albumin
49 PEER REVIEW BOXES (Subgroups) Cresophthalein Complex x
50 + 3 SD + 2 SD ALP + 1 SD X - 1 SD - 2 SD - 3 SD specimen numbers LEVEY JENNINGS style of reports 50
51 Levey-Jennings-Like Plots poor precision within run
52 poor precision between run
53 Biased results
54 LINEARITY GRAPHS Linearity refers to the relationship between measured and expected values over the analytical range visualise whether relationship is linear or not
55 Non - Linear
56 Proportional Bias
57 Imprecision
58 BLAND ALTMAN PLOTS Differences between the lab s results and the Group (consensus) means (y-axis) plotted against Group means (x-axis)
59 50.0 PHENOBARBITAL EXPECTED LINE 95 % CONFIDENCE LIMITS FITTED LINE UKNEQAS Differences From Mean 0.0 in μmol/l horizontal zero difference Line CONSENSUS MEANS μmol/l
60 Hospital x
61
62 Mayo Clinic study Proficiency testing programs are far from ideal monitors of lab performance 50% errors - problems with the survey itself only 28 % related to specific analytical problems
63 TROUBLESHOOTING 1. Incorrect classification 2. Incorrect units / conversion 3. Incorrect sample tested 4. Technical errors reconstitution/dilution inadequate mixing etc 5. Transcription errors 6. Relook at the IQC data 7. Are there trends? High/low bias etc? 8. Change in reagents/calibrants/standardisation?
64 ROYAL COLLEGE OF PATHOLOGISTS OF AUSTRALASIA (RCPA)
65
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