the basics nuts and bolts - genetic alliance · 2013. 7. 25. · biobanks “biobanks” are...
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Registries and Biobanks
The Basics Nuts and Bolts
Sharon F. Terry, MA
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Registries Registries for Evaluating
Patient Outcomes: A User's Guide. 2nd edition.
Gliklich RE, Dreyer NA, editors.
Rockville (MD): Agency for Healthcare
Research and Quality (US); 2010 Sep.
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Registries • Geographically based population registries • Public health reporting (e.g., vaccine registries, pregnancy
registries) • Outcome registries
– Interventions – Adverse events – Products – Prevention
• Specific disease registries – Listing – Cohort building – Natural history – Epidemiology
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More Registries • Hospital based
– Improvement of patient care – Professional education – Administrative information – Clinical research
• Population-based registries – Cancer prevention – Early detection – Determination of cancer rates and trends – Patterns of care and outcomes – Research – Evaluation of control efforts
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For this Discussion Disease registries • Organized system • Specific and meaningful questions – Though sometimes open-ended as well
• Standardized data
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Registry types and perspective
Disease registry
Procedure registry
Device
Drug registry
Clinical event registry
Pregnancy registry
Procedure B
Good Practice for Patient Registries"AHRQ Annual Meeting"
Bethesda, MD| September 9, 2008"Speaker: Richard Gliklich, MD, "
Principal Investigator, Outcome DEcIDE Center,"President, Outcome"
Cambridge, MA "
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The Handbook • Creating a Registry
• Planning • Design • Data Elements • Other Data Sources • Ethical and Legal Issues
• Operating Registries • Evaluating Registries
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– State the purpose – Identify stakeholders – Establish governance – Define scope of registry – Define target population – Assess feasibility – Secure funding
Planning
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Design – Design registry with respect to its major
purposes • Hypothesis testing • Hypothesis generating
– Choose a study design – Select data sources, populations, comparison
groups – Determine whether sampling is needed – Identify possible sources of bias (systematic
error) and address them to the extent that is practical and achievable
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Data Elements – Importance and relationship to the primary
outcome – Assess data collection burden and incremental
costs for collection – Standards and common data definitions or
validated instruments – Pilot test: feasibility and burden as well as
reliability, validity, and potential for missing data
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Data Sources Primary data: collected for direct purposes of the registry Secondary data: collected for other purposes • Medical records • Institutional or organizational databases • Administrative and claims data • Death and birth records • Census databases • Existing registry databases
Consider cost, timeliness, structure, availability and quality
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Ethics, Sharing & Data Access
Review ethical and data privacy requirements early in planning phase to ensure compliance • Common Rule • HIPAA • Community rubrics
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Ethics, Sharing & Data Access"Beyond Traditional Regulatory Systems
Fair Information Practice Principles 1. Notice/Awareness
– identification of the entity collecting the data; – identification of the uses to which the data will be put; – identification of any potential recipients of the data; – the nature of the data collected and the means by which it is collected; – whether the provision of the requested data is voluntary or required; – the steps taken by the data collector to ensure the confidentiality, integrity
and quality of the data.
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Fair Information Practice Principles, Continued
2. Choice/Consent – Opt-in – Opt-out – Granular preference setting
3. Access/Participation 4. Integrity/Security 5. Enforcement/Redress
– Self regulation – Private Remedies – Government enforcement
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• Operating Registries • Recruitment and management of
participants • Data collection and quality assurance • Adverse event collection and
management • Data analysis and interpretation
• Evaluating Registries
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Recruitment and management of participants"
Recruitment occurs at many levels • Facilities (hospital, practice, pharmacy) • Providers • Disease Advocacy Organizations • Social networks • Other places of social and business interaction
Motivation for participation at each level differs Goals for recruitment, retention and follow-up should be explicit and deviations continuously evaluated for risk of introducing bias
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Data Collection & Quality Assurance
Data collection – Includes collecting, cleaning, storing, monitoring and reporting
registry data – Broad range of data collection procedures and systems available
Critical factors in data quality – Data element structure and definition, training of personnel, how
data problems are handled
Quality assurance – Define requirements at registry creation – Risk-based approach
• Most important or likely sources of error or potential lapses in procedures that may impact quality in the context of intended purpose
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Adverse Event Detection, Processing, & Reporting
– Important for any registry, especially with direct participant and/or physician contact
– Collection of spontaneously reported or solicited safety information • Protocol-defined procedures strongly recommended • Investigators and site staff appropriately trained
– Processing, coding and managing of AE data – Reporting and regulatory requirements
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Analysis and Interpretation Analysis
• Importance of a statistical analysis plan – Analytic plans and statistical techniques for primary and secondary
objectives
• Report on characteristics of the patient population, exposures of interest and endpoints "
Interpretation • Who was studied?
– Is the actual population representative of the target population?
• How were the data collected, edited and verified? – Completeness of data collection and data quality – How were missing data handled and reported
• How were the analyses performed?
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Evaluating Registries Quality component analysis
Research quality (scientific process) Planning; design; data elements & data sources; ethics, privacy and governance
Evidence quality (data/findings) Patients; data elements & data sources; QA; analysis; reporting
Components classified as Basic Practice (draft names) Future Directions/Potential Enhancement (draft names)
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Biobanks
“Biobanks” are repositories which assemble, store, and manage collections of human specimens and related data.
Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Henderson GE, Cadigan RJ, Edwards TP, Conlon I, Nelson AG, Evans JP, Davis AM, Zimmer C, Weiner BJ. Characterizing biobank organizations in the U.S.: results from a national survey. Genome Med. 2013 Jan 25;5(1):3. PMID: 23351549
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Terry, et al. Personalized Medicine. March 2011, 8(2): 207-13.
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Horn, et al. Biopreservation and BioBanking. June 2010, 8(2): 115-117.
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Advocacy owned and managed data repository and samples
Clinical Information Medical Records DNA/RNA Self-reported Data Cell Lines Tissue / Organs
30,000 samples + 20,000 clinical records
BioBank.org
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Established in 2003 to accelerate drug development, knowing a key rate-limiting step is the availability of well-characterized clinical data and biospecimens
– Assemble cohorts – Collect data – Collect biospecimens
• Blood • Tissue • Surgical samples
– Secure research collaborations – Access expertise
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33
Reg4ALL.org
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biobank.org
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Lessons learned • Don’t duplicate efforts – registries and biobanks are
expensive and administratively burdensome • Develop partnerships to share data and resources • Ensure registry/biobank is sustainable over time • Use common data fields/controlled vocabulary/standards for
interoperability • Follow best practices • Engage participants, keep them, attract new ones • Prior proper planning prevents poor performance • Stewardship is important • People matter • Governance must be dynamic, culturally appropriate and
responsive
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BioTrust Ethics Team
• Kelly Edwards, University of Washington, Chair • Nicholas Anderson, University of Washington • Greg Biggers, Genomera • Leila Jamal, Johns Hopkins University • Jane Kaye, Oxford University • Kieran O’Doherty, University of Guelph • Suzanne D. Vernon, CFIDS Association of
America • David Winickoff, University of California at
Berkeley
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Registries for Reporting Patient Outcomes = http://effectivehealthcare.ahrq.gov/search-for-guides-reviews-and-reports/?pageaction=displayproduct&productID=531 Henderson paper on biobanks: http://genomemedicine.com/content/pdf/gm407.pdf Genetic Alliance Registry and BioBank = BioBank.org Registries for All = Reg4all.org