Quality assurance and Quality control

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72 Terms

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Quality assurance

  • This refers to all the processes a laboratory undertakes to ensure the quality of the test

results.

  • It is the RESULT of the processes focused on achieving quality.

  • oversees all of the procedures in the laboratory to ensure that the results released are accurate and precise.

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  1. Quality Laboratory Processes or Planning (QLP)

  2. Quality Assessment or Assurance (QA)

  3. Quality Improvement (QI)

  4. Quality Control (QC)

Four disciplines of quality management framework:

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Quality laboratory Processes or Planning

  • Personnel policies

  • Standard operating procedures

  • Specimen collection guidelines

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Quality improvement

  • It determines the cause of the problem (detects the error first).

  • Provides input to further quality planning to eliminate the problem.

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Quality control

  • Provides the tools to detect problems early and prevent errors from exceeding established quality requirements.

  • defined as the monitoring of work processes, detecting problems, and making corrections before the delivery of products or services.

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TRUE

TRUE or FALSE: QC is applied to the analytical process and not the pre-analytical or post-analytical phases.

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  1. Internal Quality Control

  2. External Quality Control

Two types of quality control:

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Internal quality control

  • control within the laboratory

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External quality control

This process ensures long-term accuracy and consistency of laboratory results, even for trained professionals.

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Lung Center of the Philippines (LCP)

In the Philippines, proficiency testing samples used for external quality assessment (EQA) come from the?

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  1. control

  2. standard

Quality control monitoring consists of?

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Standard

a solution that contains a known amount of an analyte, and it is used to calibrate an assay method.

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Control

are patient-like substances run alongside patient samples to monitor the performance of an assay method once it has been calibrated

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Daily

Quality control has to be performed?

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28 days

When calibrating the analyzer, do it every?

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Level 1 (low/normal) and Level 2 (normal/high) control materials

The medtech should perform quality control daily (once per day) using?

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20 consecutive days

The minimum number of days for running quality control is at least?

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Matrix interference

is a control that does not act like a biological sample.

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  • expired reagents

  • operator technique

One common error in the laboratory is?

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  1. Level 1 (yellow vial): Low to normal range

  2. Level 2 (red vial): Normal to high range

  3. Level 3 (if available): Significantly elevated range

QC vials come in levels with defined target ranges:

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tests the analyzer’s capability before running actual patient samples

Purpose of quality control

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once daily

If using Level 1 and Level 2, run the QC how many times?

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twice daily

If using Level 1 only, run the QC how many times?

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  • Mean

  • Median

  • Mode

These values help to determine the typical or central value of a data set, based on a minimum of 20 days of QC runs, with one run per day.

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Mean

  • is defined as the average of all the data points or values.

  • Sum of all the values divided by the total number of values (n).

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Median

Defined as the middle data point observed once the data are arranged in descending or ascending order

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Mode

is the value that occurs with the greatest frequency

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  • Range

  • Variance

  • Standard deviation

  • Coefficient of variation

These values describe how spread out the data points are.

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Range

Defined as the difference between the highest and lowest value in a data set.

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Variance

  • is defined as the measure of the average squared distance of data points from the mean.

  • This measures how far each number in the set is from the mean

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Standard deviation

  • is a measurement statistic that describes the average distance each data point in a normal distribution is from the mean.

  • measures how far the QC values are from the mean (average)

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Confidence limits

defined as the limits between which we expect a specified proportion of a population to lie

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Coefficient of variation

  • is the standard deviation expressed as a percentage of the mean

  •  is useful for comparing the precision of different laboratory tests or different labs.

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Scheduling of staff

Which of the following monitoring factors would NOT be included in a laboratory’s quality assessment program?

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Standard deviation

Which of the following terms refers to the measure of scatter of experimental data around the mean of the Gaussian (Normal) Distribution Curve?

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Accuracy

  • Ability to obtain the established or “TRUE” value for a sample.

  • Correctness of a result.

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Precision

  • Ability to obtain the same value for repeat measurements of a sample.

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Levey-Jennings charts

  • also referred to as a Gaussian distribution curve

  • s a monitoring tool to monitor or diagnose problems in the analyzer.

  • used to monitor QC data over time

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Trend

Gradual change in the mean that proceeds in one direction.

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Shift

An abrupt change in the mean that becomes continuous.

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Multi-rule systems

  • define specific limits for control values.

  • Used for accepting or rejecting a control run.

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  1. Random error

  2. Systematic error

Types of error:

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Random error

  • Non-recurring errors.

  • An error that occurs without any real pattern.

  • An error that may occur at any time and place within the production process.

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  • Pipetting

  • Improper handling of specimens and reagents.

  • Voltage and temperature fluctuations in the laboratory.

  • Dirty optics

  • Presence of bubbles

Causes of random error:

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Systematic error

  • Recurring errors.

  • An error that occurs in a predictable pattern or direction.

  • An error that is continuous and affects all results equally.

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  • Improper calibration

  • Expired reagents

  • The solution is contaminated.

  • Incorrect sample and reagent volume.

Causes of systematic error:

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1-2S

  • One control value exceeds the mean by more than 2SD but less than 3SD in either the upward or downward direction. (example – outlier)

  • Random error

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1-3S

  • One control value exceeds the mean by more than 3SD in either the upward or downward direction.

  • Random error

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2-2S

  • Two consecutive control values exceed the mean by more than 2SD but less than 3SD.

  • Systematic error

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R-4S

  • The difference between two consecutive controls is greater than 4SD.

  • Random error

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4-1S

  • Four consecutive control values exceed the mean by more than 1SD.

  • Systematic error

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10x

  • Ten consecutive control values exceed the mean in the same direction.

  • Systematic error

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  • changes to the test system

  • deterioration of reagents or calibrators.

Causes of trend:

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Delta check

  • Assess the patient’s most recent result for a particular test as compared to the patient’s previous value.

  • method of verifying a patient's current test result by comparing it to their previous results. 

  • Useful for identifying significant changes that may indicate a problem with the specimen, an error in the test, or a rapid change in the patient's condition.

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Youden plot

  • A graphical technique for analyzing interlaboratory data when each laboratory has made two runs on the same analyte or one on two different analytes.

  • Plot identifies the variability within the laboratory and between laboratories.

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Sensitivity

  • The percentage of individuals with a specific disease that are correctly identified or predicted by the test as having the disease.

  • Studying the percentage of individuals who have the disease.

  • is computing for the positivity of the disease, meaning having the disease.

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Specificity

  • It is the percentage of individuals without the specific disease that are correctly identified or predicted by the test as not having the disease.

  • is computing the percentage of individuals without the disease, meaning negativity.

  • Detect the population that actually does not have the disease.

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  1. Pre-Analytical

  2. Analytical

  3. Post-Analytical

3 phases of quality assurance program

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Identify what phase in QA:

  • Correct ordering of tests.

  • Preparation of the patient.

  • Correct identification of the patient.

  • Proper collection of the sample

  • Timely transportation of the sample to the laboratory.

  • Proper handling of the sample from the time of transportation to the time of analysis. 

  • Proper handling of the sample within the laboratory

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Analytical phase

identify what phase in QA:

  • involves the assay itself.

  • Proper labeling and use of reagent

  • Periodic calibration of pipetting devices

  • Periodic calibration of pipetting devices

  • Periodic checking of the temperatures of refrigeration units.

  • Periodic checking of the accuracy of all analytical balances and thermometers.

  • Periodic checking of the accuracy of centrifuge speeds and timing devices.

  • Periodic checking that procedure manuals are complete and up-to-date.

  • Constant assurance that safety procedures are followed.

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Post-analytical phase

Identify what phase in QA:

  • refers to the results, and the physician will interpret those results.

  • Verification of calculations on final reports.

  • Review of test results for possible transcription errors. 

  • Reports that are easy to read and interpret.

  • Procedures for informing the physician of results that require immediate attention. 

  • Timeliness of reporting values to the patient chart.

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Amendments of 1988 (CLIA)

  • Determines the limits of allowable error.

  • Determine the limits of acceptable error.

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Six sigma methodology

  • y a manufacturing strategy.

  • It was pioneered by the Motorola company, with one of its engineers, Bill Smith.

  • improves the production efficiency of different industries by converting the problems into a mathematical equation.

  • aims to improve the performance of a process.

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3.4 erroneous laboratory results

In Six Sigma, the defects out of 1 million will be?

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White belt

Basic or introductory level to Six Sigma

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Yellow Belt

The Yellow Belt has learned already the specifics of Six Sigma and how it is being applied to the workplace.

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Green Belt

  • They have advanced analysis and resolution of the problem.

  • They know how to solve the problem.

  • They are the managers and oversee the team.

  • They lead and manage projects while providing support to their superiors.

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Black Belt

  • The supervisor.

  • Known as the agents of change.

  • Expert already in the Six Sigma philosophy and principles.

  • To mentor the yellow and the green belts

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Master

  • A master black belt trains the black belt.

  • Undergone years and years of training.

  • Training in many performance improvement methodologies.

  • They have many years of leadership experience and also project management experience.

  • The master black belt will provide support to the champion

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Champion

  • High-level executive.

  • A division leader or a director who is responsible for overall quality in an organization.

  • Highly paid.

  • Years of training will also give them validation for promotion.

  • Promotion to a higher level until they become executive-level.

  • They are very important at the beginning of a Six Sigma implementation when changes are most likely to arise.

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Sigma Metric

Is a value that expresses the variation in performance of a measurement procedure relative to the allowable variability in results to be suitable for medical decisions expressed in SD units

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DPMO

is a ratio of the number of defects (flaws) in 1 million opportunities when an item can contain more than 1 defect.