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42 Cards in this Set

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Ability to provide accurate, reproducible assay results that offer clinically useful information

Quality

- Assay results must be reliable



Reliability - Requires vigilance and effrort

Components of Quality Assurance

- Analytical


- Pre-analytical


- Post-analytical

Quality Assurance:


Clinical Query Systems - Guide clinicians in lab assay selection


Reflex Assay Algorithms

Are employed to document


- Assay Validity, accuracy, and precision


Including external quality assessment, publication of RIs, and therapeutic ranges, and lot-to-lot validation

Quality Control Processes

RIs - Reference Intervals

Pre-analytical Variables

1. Assay selection based on px indication


2. Implementation of assay selection


3. Patient ID and Preparation


4. Specimen collection equipment and technique


5. Specimen transport, preparation and storage


6. Monitoring of specimen condition

Analytical Variables

1. Lab Staff competence


2. Assay and instrument selection


3. Assay and instrument validation


4. Internal Quality Control


5. External Quality Assessment

Assay and instrument validation includes


1. Linearity


2. Accuracy


3. Precision


4. Analytical Measurement Range


5. Specificity

Post-analytical Variables

1. Accurate transcription and filing of results


2. Content and format of lab report, narrative report


3. Reference Interval and Therapeutic Range


4. Timeliness in communicating critical values


5. Px and physician satisfaction


6. Turnaround Time - TAT


7. Cost Analysis


8. Physician application of lab results


9. Px outcome

Laboratory Staff Responsibility:


Preanalytical Component -


Test Orders

- Conduct continuous utilization reviews to ensure that physician-generated orders are comprehensive and appropriate to px indications


- Inform physician about lab test availability and ways to avoid unnecessary orders


- Reduce unnecessary rpt testing

Laboratory Staff Responsibility:


Preanalytical Component -


Test Request Forms

- Are requisition forms legible?


- Can phlebotomist confirm px identity?


- Are physician orders promptly and correctly interpreted and transcribed?


- Is adequate diagnostic, treatment, and px prep information provided to assist the lab staff to appropriately test and interpret results?

Laboratory Staff Responsibility:


Preanalytical Component -


STAT orders and Timeliness

- Do turnaround time expectations match clinical necessity and ensure that STAT orders are reserved for medical emergencies?


- Does lab management meet established TAT requirements?

Laboratory Staff Responsibility:


Preanalytical Component - Specimen Collection

- Is the px correctly identified, prepared, and available for spx collection?


- Is fasting and therapy status appropriate for the assay?


- Is the tourniquet correctly applied and released at the right time?


- Are venipuncture sites appropriately cleansed?


- Are timed spxs collected at specified intervals?


- Are spx tubes collected in the specified order?


- Are additive tubes properly mixed?


- Are spx tubes labeled correctly?

Laboratory Staff Responsibility:


Pre-analytical Component - Specimen Transport

- Are specimens delivered intact, sealed, and within specified time limits?


- Are spxs maintained at the correct temp?

Laboratory Staff Responsibility:


Preanalytical Component - Specimen Management

- Are spx centrifuged correctly?


- Are tests begun within specified times?


- Are spx and aliquots stored properly?


- Are coagulation spx consistently platelet-poor?

Laboratory Staff Responsibility:


Postanalytical Component - Publication of Reports

- Are results accurately transcribed into the information system?


- Are they reviewed for errors by additional lab staff?


- If autoverification is in effect, are correct parameters employed?


- Do reports provide reference intervals?


- Do they flag abnormal results?


- Are result narratives appended when necessary?


- Does lab staff conduct in-service education to support test result interpretation?


- Are critical values provided to nursing and physician staff?


- Are verbal reports confirmed with feedback?


- Are anomalous findings resolved?

Laboratory Staff Responsibility:


Postanalytical Component - Timeliness

- Are turnaround times recorded and analyzed?


- Are lab reports being posted to px charts in timely fashion?

Laboratory Staff Responsibility:


Postanalytical Component: Patient Satisfaction

- Does the institution include lab care in px surveys?


- Was spx collection explained to the px?

Quality Control relies on the initial computation of

- Central Tendency


- Dispersion

States that there is no difference between or among the means or variances of the populations being compared

Null Hypothesis

States that there is no difference between or among the means or variances of the populations being compared

Null Hypothesis

Alternative (Research) Hypothesis - Logical opposite of null hypothesis

Defined as its ability to reject the null hypothesis if the null hypothesis is false

Power of a statistical test

Power is expressed as P which stands for probability that the test is able to detect an effect



P Scale - Ranges from 0 to 1

Power is determined by the

- Sample size (number of data points, n)


- The design of the research study


- Study’s ability to control for extraneous variables

Sum of the individual data values divided by the number of data points

Arithmetic Mean or Average

- STANDARD expression of central tendency


- Profoundly affected by outliers and is unreliable in a skewed population

A data set that represents a single population

Sample

A data set that represents a single population

Sample

Defined as a single data point within a data set (sample)

Specimen

In the clinical lab - Specimen often means a tube of blood or a fragment of tissue collected from a px which provides a single data point

The n root of the product of n individual data points and is used to compute means of unlike data sets

Geometric Mean

n = number of data points

Data point that separates the upper half from the lower half of a data set (sample)

Median

- ROBUST expression of central tendency in a skewed distribution because it minimizes the effects of outliers

How to find the Median

- Arrange data set in numerical order and select the central data point

- If the data set has an even number of data points, the median is the mean of the two central points

Data point that appears most often in the sample

Mode of a data set (sample)

- Not a true measure of central tendency because there is often more than one mode in a data set

Measures of Central Tendency

- Mean


- Median


-Mode

Expresses the deviation of each data point from its expected value, usually the mean of the data set (sample) from which the data point is drawn

Variance

Measures of Dispersion:


- Variance


- Standard Deviation

- The square root of the variance


- The mean distance of all the data points in a sample from the sample mean


- States the confidence, or degree of random error, for statistical conclusions

Standard Deviation

- Most commonly used Measure of Dispersion


- The larger the SD of a sample, the greater deviation from the mean


- SD of an assay is an expression of its quality based on its inherent dispersion or variability

- The normalized expression of the SD, ordinarily articulated as a percentage


- Most commonly used measure of dispersion in lab medicine

Coefficient of Variation

Before patient testing can begin, each


- new instrument


- assay modification, or


- instrument-assay combination


must be ____________

Validated

- To confirm the intended results

Method Validation includes

1. Proof of Accuracy


2. Proof of Precision


3. Reportable Ranges - Including AMR


4. Detection of interfering substances

AMR - Analytical Measurement Range


- Multiple identical instruments and test systems require individual evaluation and approval

Additional requirements with modifications to FDA-approved assays and lab-developed tests (LDTs)

1. Analytical Sensitivity


2. Analytical Specificity


3. Specimen and reagent stability


4. Carryover

- Measure of agreement between an assay value and the theoretical "true value" of its analyte



- Magnitude of error separating the assay result from the true value

Accuracy

In Hematology - Testing for accuracy is often not applicable comparability may take the place of accuracy in these situations

How to test for Comparability

1. Lab professional employs the laboratory's current reagent-instrument system as the reference assay for comparison to a new reagent-instrument system.


2. Alternatively, the operator compares a reagent-instrument system to a previously validated, external reference method

Expression of reproducibility or dispersion about the mean, often expressed as SD or CV%

Precision

Accuracy - Easy to define but difficult to establish and maintain


Precision - Relatively easy to measure and maintain

A material of known, fixed composition that is prepared in pure form, often by determining its dry mass on an analytical balance

Primary Standard

- Lab professionals employ primary standards to establish accuracy


- Lab professional dissolves the weighed standard in an aqueous solution, prepares suitable dilutions, calculates the anticipated conc of each dilution, and assigns the conc to assay outcomes

Primary Standards in Hematology and Hemostasis

- Cyanmethemoglobin


- Fibrinogen


- Factor VIII


- Protein C


- Antithrombin


- Von Willebrand Factor

Maybe a previously employed well-controlled assay, or an assay currently being used by an alternate laboratory

Reference Method

Statistics available to compare results of new or modified assay to a reference method

- Student T-test


- Analysis of Variance (ANOVA)


- Linear Regression


- Pearson Correlation Coefficient


- Bland-Altman Plot