laboratory data integrity ashraf mozayani, pharmd, phd texas southern university barbara...
TRANSCRIPT
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Laboratory Data Integrity
Ashraf Mozayani, PharmD, PhDTexas Southern University
Barbara Jordan-Mickey Leland School of Public Affairs
Forensic Science Learning Lab
713-313-7332
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Objectives
• Terminology associated with data integrity and data manipulation
• Why should we have a Plan to prevent and detect data manipulation/fraud?
• Situation that contribute to unethical behavior
• Steps to add to detect/avoid data manipulation
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What is Data Integrity? Data that follows:
Ethical StandardsBe Acceptable in Scientific Community Be Traceable Be Defensible
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Terms
Laboratory fraud: The falsification of analytical and quality assurance results, where failed method requirements are made to appear acceptable during reporting:
SamplingReceipt, Preparation,AnalysisReport writingTestifying
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Terms
Intentional misrepresentation of lab data to hide existing or potential problems.
Intent to deceive – making data look better than it really is.
Dry Labbing – Reporting data for samples or procedures not actually analyzed or performed.
Data deletion – removal of bad/undesirable data. Backlogging – In this context, is the entry of data into a
laboratory document at a time later than the time indicated on the document
Time Travel- Changing times and dates
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Why Should We Have A Plan?When it happens it causes :
Tainting our Lab StaffDistrust by our ClientsCost us Ruin Careers
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Root Causes that Might Contribute to Unethical BehaviorAnalyst
Lack of Knowledge of testingLack of understanding the impactLack of courageDesire for perfect recordTo complete cases quickly in an
effort to meet deadlines
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Root Causes that Might Contribute to Unethical BehaviorManagementIneffective Oversight Impractical ExpectationEmphasis on Production over Quality
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Situations that Might Contribute to Laboratory Fraud To encourage boosting productivity
with obtaining better merit increases or bonuses
Conflict of interest with regards to a case
Lack of factual/ thorough technical and administrative review
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Examples of Improper Lab Practices
PTBatch QCBlank Testimony
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The Good News
The forensic scientists are good at what they do however we need to address this perceived problem:realize that NO system is error-freedesign and implement a program that ACTIVELY looks for weak spots and corrects them
And this leads to a better system – never perfect, but always better.
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Suggestions to improve Data Integrity!$$$
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Laboratory Data Integrity Policy
A systematic approach by laboratory to assure:Accurate data reflecting the test follows:
Analysis using accepted scientific practice and principles
Produce data that are traceable and defensible
Bias free environmentEthical Professional
Comply with all regulations associated with tasks, responsibilities, testimonies
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Data Integrity Foundation
Thorough training the staff MonitoringConfidential reportingInvestigationCorrection
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Staff Training
Training ProgramAll analysts should be competency testedPrior qualification and authorization should
be required to perform caseworkMock Trials should be conducted Court Testimony Evaluation should be
performed for testifying analystsMandatory Ethics Training of StaffCertification
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Monitoring Data Integrity
StaffAnalytical InstrumentsTesting ProcessesOversight and Review
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Monitoring Data Integrity: Staff
Experienced data reviewersThorough data review by outside expert
Including chain of custody, time stamps, signatures, and an evaluation of control data
Monitoring of computer updatesRandom, periodic observationBlind samplesDetailed review of each analyst data
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Monitoring Data Integrity: Instrumentation
Analytical InstrumentationPreparation of the sample and operation of the instrument
should be performed by different individuals Instrument maintenance should be performed by individuals other
than the analyst if it is possible Calibration and tuning of instruments should be performed by an
individual other than the analyst.
All operations of the instrument should be recorded by the operator and reviewed by a qualified reviewer prior to release of the final report
All tuning, calibration and run data should be stored as PDF files immediately upon generation
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Monitoring Data Integrity – The Testing Process
Testing ProcessBatching: multiple people work on a case and multiple
cases should worked together Implementing the use of unique barcode on all
samples Internal Chain of Custody: should be verified to track
the evidence. Everyone should be indicated on the chain of custody
Log Sheets, Derivative Evidence Log, and paper trail in case files
100 % Technical Reviews/Admin Reviews on all cases Taking photographs of evidence before and after
samplingPhotographing all subjective tests like microscopic
tests , color tests
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Data Integrity Standard Operating Procedure- Purpose: to describe the laboratory’s data integrity
system to emphasize the importance of integrity in the
performance of all analytical work to acquire the commitment of laboratory staff
to the principle that all analyses shall be performed in a controlled and documented manner
to confirm that laboratory staff consistently meet the specific ethical requirements defined in this data integrity plan.
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Dry-labbing, back filling or data manipulation/fraud is not wide spread
It can happen in any laboratory with any analyst
Learn from misfortune of other labsHave a strong Data Integrity Policy
Summary
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Summary
All these programs require self-assessmentA painful process, but necessary if
we want to improveThis is NOT about not trusting our
colleagues. This IS about improving our system