Quality Control in Laboratories
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Questions and Answers

What is the main difference between systematic error and random error?

  • Systematic error only occurs in quantitative analysis, random error does not.
  • Only systematic error can be reduced with better equipment.
  • Systematic error is consistent and predictable, while random error varies and is unpredictable. (correct)
  • Both systematic and random errors are predictable.
  • A good equipment management policy in a laboratory has no real benefits.

    False

    List two components of personal protective equipment that are essential in a laboratory.

    Gloves, Safety goggles

    In analyzing QC failures, using _____ and Sigma-metric helps in identifying problem analytes.

    <p>SEc</p> Signup and view all the answers

    Match the following quality indicators with their descriptions:

    <p>Precision = Consistency of measurements Accuracy = Correctness of measurements Sensitivity = Ability to detect small amounts Specificity = Ability to measure only the intended analyte</p> Signup and view all the answers

    Which of the following are valid approaches to verify a QC failure? (Select all that apply)

    <p>Repeat QC until acceptable results are obtained</p> Signup and view all the answers

    External Quality Control (EQC) often involves testing known samples.

    <p>True</p> Signup and view all the answers

    Which of the following are goals of quality control in the laboratory? (Select all that apply)

    <p>Determine the root cause of errors/problems</p> Signup and view all the answers

    What is a common pre-analytic occurrence frequently seen in laboratories?

    <p>Improper sample collection and storage</p> Signup and view all the answers

    Bubbles in the reagent line are a source of systematic error.

    <p>False</p> Signup and view all the answers

    Name the two types of systematic errors.

    <p>Constant and proportional</p> Signup and view all the answers

    The path that can be assessed while a sample is moving through the laboratory is: __________.

    <p>Sample processing area</p> Signup and view all the answers

    The most common statistics utilized in internal quality control as descriptive measures of a set of values include ____, ____, and ____.

    <p>Mean, Mode, Standard Deviation</p> Signup and view all the answers

    Match the following laboratory processes with their significance:

    <p>Proper sample labeling = Ensures accurate identification Quality indicators = Measures laboratory performance Levey-Jennings charts = Visual tool for QC analysis External audits = Provides objective assessment of quality</p> Signup and view all the answers

    How is laboratory information management primarily concerned?

    <p>Sample logs and records</p> Signup and view all the answers

    Match the following types of errors with their descriptions:

    <p>Systematic Error = Bias that consistently affects results in one direction Random Error = Variability that occurs unpredictably Constant Error = A fixed error that occurs regardless of the measurement Proportional Error = An error that increases with the magnitude of the measurement</p> Signup and view all the answers

    Which factors are potential sources of systematic error? (Select all that apply)

    <p>Slow deterioration of reagents</p> Signup and view all the answers

    What is the primary purpose of Levey-Jennings charts in laboratory quality control?

    <p>To monitor and evaluate the consistency of QC results over time</p> Signup and view all the answers

    Once a laboratory sample is correctly processed, the analysis phase can proceed without further checks.

    <p>False</p> Signup and view all the answers

    Internal Quality Control involves analyzing results after patient samples have been analyzed.

    <p>False</p> Signup and view all the answers

    What is the most effective investigational technique for occurrence management?

    <p>Root cause analysis</p> Signup and view all the answers

    Study Notes

    Quality Control Verification Approaches

    • Excluding a QC point and continuing work may overlook potential issues.
    • Repeating QC tests until acceptable results are achieved can delay workflow.
    • Using a fresh aliquot for QC ensures reliability and eliminates prior sample issues.
    • Verifying the integrity of QC materials is vital to prevent errors from product degradation.

    External Quality Control

    • External QC is recognized as statistical Quality Control.
    • Values of External QC samples are known prior to testing, facilitating comparison.
    • The primary goal is to evaluate the bias introduced by measurement procedures.

    Laboratory Sample Path Assessment

    • The assessment starts at the clinic sample collection area.
    • Proper labeling of samples is essential to prevent identification errors.
    • Sample processing area must adhere to protocols to ensure sample integrity.
    • Correct storage of reagents or test kits is critical for accurate results.

    Laboratory Customer Satisfaction Indicators

    • Laboratory tests register provides insight into service demand.
    • Quality indicators reflect performance and satisfaction levels.
    • Reviewing test results helps identify gaps in expectations versus delivery.
    • External audits assess overall operational integrity and customer satisfaction.

    Pre-Analytic Occurrences

    • Improper sample collection and storage are common and affect results.
    • Appropriate labeling ensures traceability and reduces errors.
    • Transport samples under specified conditions to maintain integrity.
    • Storage conditions for reagents or test kits must align with guidelines.

    Laboratory Information Management

    • Focuses on documenting complaints for quality enhancement.
    • Maintains sample logs and records for tracking and compliance.
    • Conducts root cause analysis to address issues effectively.
    • Monitors critical services inventory to prevent disruptions.

    Levey-Jennings Charts

    • Used to monitor QC data over time and identify trends or shifts in results.
    • Useful for detecting systematic errors and outliers in measurement processes.
    • Helps maintain ongoing quality assurance in laboratory operations.

    Goals of Laboratory Quality Control

    • Detecting and correcting errors is essential for reliable results.
    • Avoiding erroneous result reporting safeguards patient care.
    • Identifying the root causes of errors enhances operational efficiency.
    • Alerting providers of abnormal results ensures timely intervention.

    Routes of Chemical Entry

    • Chemicals can enter the body through inhalation.
    • Absorption through skin contact is a common exposure pathway.
    • Percutaneous inoculation poses risks in handling substances.
    • Ingestion can occur if proper safety protocols are not followed.

    Sources of Contamination

    • Air conditioning vents can disperse contaminants in the laboratory.
    • Aerosols created by laboratory processes can pose airborne risks.
    • Animal cages may harbor pathogens that contaminate the environment.
    • Sick employees can contribute to the spread of infectious agents.

    Descriptive Statistics in Internal Quality Control

    • Coefficient of variation indicates relative variability among data points.
    • Mode identifies the most frequently occurring value in a dataset.
    • Mean provides an average measurement for establishing reference ranges.
    • Standard deviation reflects data spread and consistency of test results.

    Internal Quality Control Overview

    • Internal QC is conducted alongside patient samples to detect immediate issues.
    • Analysis performed after patient sampling focuses on retrospective quality checks.
    • Identifies operational problems in real-time to maintain quality standards.
    • Evaluates measurement precision to ensure reliability of test results.

    Types of Systematic Errors

    • Random and constant errors are two main systematic error types.
    • Allowable and proportional errors help frame acceptable ranges and calibration.

    Sources of Systematic and Random Errors

    • Systematic errors can arise from erroneous sample labeling.
    • Environmental factors like unstable conditions contribute to random errors.
    • Slow deterioration of reagents may lead to inconsistent test results.

    Effective Investigational Techniques

    • Analysis of all QC data provides a comprehensive view of performance.
    • Customer surveys offer direct feedback regarding laboratory services.
    • Employee performance evaluations can highlight training needs.
    • Root cause analysis is crucial for effective occurrence management.

    Sampling and Preparation Steps in Quantitative Analysis

    • Following stringent protocols during sampling ensures reliability.
    • Thorough preparation of samples maximizes the accuracy of analytical results.

    Differences Between Systematic and Random Errors

    • Systematic errors are consistent and can bias results in one direction.
    • Random errors fluctuate and may arise from uncontrolled variables.

    Benefits of Good Equipment Management Policies

    • Ensures optimal performance and longevity of laboratory instruments.
    • Reduces the likelihood of equipment failure impacting results.
    • Facilitates timely maintenance and calibration to enhance accuracy.

    Basic Laboratory Safety and Personal Protective Equipment

    • Lab coats protect skin and clothing from chemicals.
    • Gloves safeguard hands from hazardous materials.
    • Safety goggles shield eyes from splashes and irritants.
    • Face shields provide additional protection during high-risk procedures.

    Targeting Analytes for Investigation

    • Analyze SEc and Sigma-metric values for performance discrepancies.
    • Higher SEc values indicate areas requiring further investigation for precision improvement.

    Quality Indicators

    • Turnaround time for test results.
    • Accuracy of reported test results.
    • Compliance with safety standards.
    • Efficiency of sample processing.
    • Customer complaints and feedback.
    • Staff training and competency assessments.
    • Equipment maintenance schedules.
    • External audit findings.

    Precision vs. Accuracy

    • Results can be precise if repeated measurements yield consistent values.
    • However, accuracy may be lacking if those consistent values deviate from the true or expected value.

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    Description

    This quiz covers essential approaches in quality control verification and external quality control measures within laboratory settings. Emphasizing the importance of sample assessment and integrity, the quiz ensures a thorough understanding of maintaining high standards in laboratory practices. Test your knowledge on these critical aspects of quality control.

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