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QA and QC
in CDM
What is QA and QC?
Quality assurance: The systematic
and independent examination of all trial-related activities
and documents. These audits determine whether the
evaluated activities were appropriately conducted and that
the data were generated, recorded, analysed, and
accurately reported according to protocol, standard
operating procedures (SOPs), and good clinical practices
(GCPs).
Quality Control: Periodic operational checks
within each functional department to verify that clinical data
are generated, collected, handled, analyzed, and reported
according to protocol, SOPs, and GCPs.4
Quality challenge in CDM:
The ongoing challenge in managing the quality of clinical data is to continually monitor data collection
procedures and data management practices at every level of the study. This includes:
1)ensuring that data generated during the study reflect what is specified in the protocol (case report
form [CRF] vs. protocol
2) comparing data in the CRF and data collected in source documents for accuracy (CRF vs. source
documents)
3) ensuring that the data analysed are the data recorded in the CRF (database vs. CRF).
The quality plan
1) The quality plan describes how the quality control and quality assurance processes will be applied
throughout the clinical trial
2) It definitively defines the various quality-related tasks in the study.
3) A quality plan documents specific quality practices, resources, and activities relevant to a specific
project. This includes both operational QC and QA activities.
Operational QC
It is critical that trial managers develop a QC plan for each key operational stage of the study that
defines standards against which QC will be conducted, including:
1)Sampling plan to be used
2) Data source to be used for QC at operational stage
3) Metrics to be documented
4) Acceptable quality levels
5) appropriate methods to report and distribute results.
Complete QC plan
A Complete QC plan addresses the following:
1) subject informed (signed informed consent form)
2) subject's eligibility (inclusion/exclusion)
3) protocol compliance
4) adverse events (AEs) and concomitant medication
5) Lab data, query resolutions
QA Activities
1)The QA activities to be conducted during a specific clinical trial are included in a QA audit plan
2)These activities include the number of investigator sites, selection criteria, and vendors to be audited, such
as labs and drug packaging and distribution providers.
3) It specifies audit team members and auditees for each study stage, as well as the standards against which
the audit will be conducted, such as the protocol, CRF completion guidelines, SOPs, ICH/GCP guidelines, and
FDA regulations.
4) A thorough QA audit plan also clearly states the documents to be provided by the auditee, as well as the
location, date, and expected duration of the audits.
Data management QC
Both sets of data are compared electronically, and discrepancies are resolved
by a senior data entry person. After all of the data has been entered and all
discrepancies and questions resolved, the database is QC'd by comparing the
database to the CRFs from which the data was entered.
Example of data management metrics for QA are:
1) Percentage of database errors
2) Percentage of queries manually generated
3) Time from last patient out to DB lock
Data management QA
1)Data entry and the database QC process are other critical areas of
the data management process that are audited by QA personnel.
2)The audits review the documented evidence that shows the data
accuracy and integrity were verified and checked manually,
independently, and programmatically to ensure the data were logical.
3) These audits also ensure that all data queries are resolved and that
the overall database QC review was conducted according to the QC
SOP.
Corrective and preventative action process
1)The purpose of a corrective and preventative action process is to ensure that complaints,
discrepancies, and non-compliances are visible, prioritized, and tracked, and that the root cause is
determined and resolved.
2) It also provides a system to track issues of nonconformity that have not been resolved.
3)This process requires identifying a person responsible for defining and implementing corrective action.
.
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QA and QC in CDM_15-Sep -2021.pptx

  • 2. What is QA and QC? Quality assurance: The systematic and independent examination of all trial-related activities and documents. These audits determine whether the evaluated activities were appropriately conducted and that the data were generated, recorded, analysed, and accurately reported according to protocol, standard operating procedures (SOPs), and good clinical practices (GCPs). Quality Control: Periodic operational checks within each functional department to verify that clinical data are generated, collected, handled, analyzed, and reported according to protocol, SOPs, and GCPs.4
  • 3. Quality challenge in CDM: The ongoing challenge in managing the quality of clinical data is to continually monitor data collection procedures and data management practices at every level of the study. This includes: 1)ensuring that data generated during the study reflect what is specified in the protocol (case report form [CRF] vs. protocol 2) comparing data in the CRF and data collected in source documents for accuracy (CRF vs. source documents) 3) ensuring that the data analysed are the data recorded in the CRF (database vs. CRF).
  • 4. The quality plan 1) The quality plan describes how the quality control and quality assurance processes will be applied throughout the clinical trial 2) It definitively defines the various quality-related tasks in the study. 3) A quality plan documents specific quality practices, resources, and activities relevant to a specific project. This includes both operational QC and QA activities.
  • 5. Operational QC It is critical that trial managers develop a QC plan for each key operational stage of the study that defines standards against which QC will be conducted, including: 1)Sampling plan to be used 2) Data source to be used for QC at operational stage 3) Metrics to be documented 4) Acceptable quality levels 5) appropriate methods to report and distribute results.
  • 6. Complete QC plan A Complete QC plan addresses the following: 1) subject informed (signed informed consent form) 2) subject's eligibility (inclusion/exclusion) 3) protocol compliance 4) adverse events (AEs) and concomitant medication 5) Lab data, query resolutions
  • 7. QA Activities 1)The QA activities to be conducted during a specific clinical trial are included in a QA audit plan 2)These activities include the number of investigator sites, selection criteria, and vendors to be audited, such as labs and drug packaging and distribution providers. 3) It specifies audit team members and auditees for each study stage, as well as the standards against which the audit will be conducted, such as the protocol, CRF completion guidelines, SOPs, ICH/GCP guidelines, and FDA regulations. 4) A thorough QA audit plan also clearly states the documents to be provided by the auditee, as well as the location, date, and expected duration of the audits.
  • 8. Data management QC Both sets of data are compared electronically, and discrepancies are resolved by a senior data entry person. After all of the data has been entered and all discrepancies and questions resolved, the database is QC'd by comparing the database to the CRFs from which the data was entered. Example of data management metrics for QA are: 1) Percentage of database errors 2) Percentage of queries manually generated 3) Time from last patient out to DB lock
  • 9. Data management QA 1)Data entry and the database QC process are other critical areas of the data management process that are audited by QA personnel. 2)The audits review the documented evidence that shows the data accuracy and integrity were verified and checked manually, independently, and programmatically to ensure the data were logical. 3) These audits also ensure that all data queries are resolved and that the overall database QC review was conducted according to the QC SOP.
  • 10. Corrective and preventative action process 1)The purpose of a corrective and preventative action process is to ensure that complaints, discrepancies, and non-compliances are visible, prioritized, and tracked, and that the root cause is determined and resolved. 2) It also provides a system to track issues of nonconformity that have not been resolved. 3)This process requires identifying a person responsible for defining and implementing corrective action. .