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Implementing a Central IRB Model in a Multicenter Research Network.

Jeri S Burr1, Ann R Johnson2, Valeriya Vasenina3

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Summary
This summary is machine-generated.

Implementing a single Institutional Review Board (IRB) led to workflow challenges but ultimately created a functioning central IRB model. Further study is needed to assess reduced regulatory burden for research teams.

Keywords:
NIHcentral IRBhuman research protection programinstitutional review boardlocal reviewresearch networksingle IRB

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Area of Science:

  • Health Policy
  • Clinical Research Administration
  • Human Subject Protection

Background:

  • The National Institutes of Health (NIH) mandated a single Institutional Review Board (IRB) policy, shifting review paradigms.
  • Institutions are re-evaluating processes for ceding review and local IRB considerations.
  • Proactive implementation of a central IRB (CIRB) was initiated in 2012 by an NIH-funded network.

Purpose of the Study:

  • To describe the experiences and lessons learned from implementing a central IRB (CIRB) model.
  • To anticipate and adapt to the NIH's future single IRB mandate.
  • To evaluate the impact of CIRB implementation on workflow and regulatory burden.

Main Methods:

  • A description of an NIH-funded network's proactive CIRB implementation since 2012.
  • Analysis of the learning curve and workflow adjustments for IRBs and participating sites.
  • Examination of the shift in submission workload from study teams to a data coordinating center.

Main Results:

  • A steep learning curve was encountered by IRBs and sites during initial CIRB implementation.
  • Workload shifted to the data coordinating center, presenting challenges in preparing consent documents.
  • Despite initial difficulties, the network is now fully operational under the CIRB model.

Conclusions:

  • The transition to a CIRB model presented significant workflow challenges and a steep learning curve.
  • The network successfully transitioned to a fully functioning CIRB model.
  • Long-term evaluation is necessary to determine if the CIRB model effectively reduces duplicative review and regulatory burden.