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IRB Metrics

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Title: IRB Metrics


1
IRB Metrics
  • Tony Perez
  • Chief Health Sciences Counsel
  • University of California, San Diego
  • (formerly Director, IRB Administration University
    of California, Davis)

2
IRB Metrics
  • Measure IRB Approval Process
  • Establish Common Milestones
  • Define Milestones
  • When has milestone been achieved?
  • Measurement
  • Understanding of Variables Affecting Milestone
    Achievement

3
Typical IRB Approval Milestones
4
  • Variables Influencing Achievement
  • Complexity of Protocol
  • Receipt of Documents From Sponsor
  • Complexity of IRB Application Form
  • Assistance from IRB or Other Office
  • Clinical Trials Office
  • IRB Administration Office
  • PI Staffing
  • Competence
  • Amount

5
  • Variables Influencing Achievement
  • Administrative Approval
  • Administration Sign-off
  • Resource Sign-off
  • Other Required Approvals
  • Scientific Review Committee
  • Radiation Use Committee

6
  • Variables Influencing Achievement
  • Workload of IRB Administration
  • Administrative Pre-Review for Completeness
  • Substantive Pre-Review
  • Response of PI to Correct Submission Deficiencies
  • Response of Sponsor to Correct Submission
    Deficiencies
  • Workload of IRB
  • Overworked IRB Members
  • Lack of IRB Members

7
  • Variables Influencing Achievement
  • Workload of IRB Members
  • Large Volume of Protocols to Review
  • Large Volume of Revisions to Review
  • Workload of IRB Committees
  • Limitations on Meeting Agenda Items
  • Other Items to Review
  • Substantive Modifications
  • Unanticipated Problems

8
  • Variables Influencing Achievement
  • Workload in IRB Administration Office
  • Expertise of IRB Administration Staff
  • Clarity of Requests by IRB Members
  • Method of Transmission

9
  • Variables Influencing Achievement
  • Volume of Required Revisions
  • Complexity of Required Revisions
  • Communication with and Approval from Sponsor

10
  • Variables Influencing Achievement
  • Workload of IRB Administration Office
  • Method of Transmission

11
UCSD Example
  • Quantitative Analysis of HRPP WorkflowMichael
    Caligiuri, Ph.D.Director, HRPPUCSDJune, 2008

12
Analysis of the 1st 100 Biomedical IRB
Applications for 2008
  • Time Period IRB Review to Final Approval
  • 4 biomedical committees randomly assigned a code
    number
  • Independent variables (project characteristics)

0surveys, chart reviews 1observational
2minimal risk, blood draw, vulnerable
population 3Phase III, investigational drug or
device 4Phase I or II safety trial
13
Mean 37.2 days Median 27 days
14
PI
Mean PI time 19.97 21.7 days
HRPP
Mean HRPP time 19.86 15.9 days
15
3 weeks
16
Predictive Models
Model 1 3 factors Committee, Funding,
Radiation Statistic F4.33 plt0.01 Test
1 C1 FC RNo 67 days C2 FC
RNo 59 days C3 FC RNo 51
days Conclusion Committee assignment accounts
for 8 days
17
Predictive Models
Model 1 3 factors Committee, Funding,
Radiation Statistic F4.33 plt0.01 Test
2 C1 FC RNo 67 days C1 FNC
RNo 49 days Conclusion Funding source
accounts for 18 days
18
Impact of Funding Source on Approval Delays for
each Biomedical IRB
19
Impact of Radiation Exposure and PRMC Review on
Approval Delays for each Biomedical IRB
No PRMC review
20
Thank You
  • Tony Perez, J.D.
  • Chief Health Sciences Counsel
  • University of California, San Diego
  • University Center 201
  • 9500 Gilman Drive 0097
  • La Jolla, California 92093-0097
  • (858) 246-0222
  • tonyperez_at_ucsd.edu
  • Michael Caligiuri, Ph.D.
  • Director, Human Research Protections Program
  • University of California, San Diego
  • La Jolla Village Professional Center Suite A208
  • 8950 Villa La Jolla
  • La Jolla, California 92037
  • Phone 858-455-5050
  • mcaligiuri_at_ucsd.edu
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