Hvidberg Compliance Management

Query Management in Complex Study

Query Management in Complex Study

 

This case highlights how adaptive protocol designs, while scientifically and ethically beneficial, introduced frequent interim DBLs that complicated data management and triggered time-sensitive re-work, particularly for sites. Although eCRF modules remained stable, changes to RBM algorithms and evolving data interpretations led to extensive re-SDV of previously frozen data and uncertainty in reassessing imaging results. This caused reopened eCRFs and unclear expectations for site teams. The case was resolved using our three-step approach:

 

Define the challenge with precision.  

Problem Statement: Interim DBLs created significant and unclear workloads for sites and CRAs, threatening data quality and timelines.

Root cause 

  • Data Management adjusted RBM algorithms based on Biostatistics’ dry-run analyses, without validating changes at the global Study Team level.
  • Sites, Data Management, and Imaging Adjudication struggled to agree on sufficient detail for imaging re-alignment.
  • Query turnaround times did not account for regional time zone differences. 

Root Cause Learning

  • All members of the global Study Team must understand downstream data flow implications before RBM algorithm adjustments.
  • Imaging reinterpretation requirements must be defined in DBL support material ahead of site preparations.
  • Query turnaround expectations must reflect time zone realities.

Scope 

  • Align DBL scope across the global team, the local Study Managers, CRAs, and sites.
  • Provide clear support material for CRAs and sites.

Resolution scenario 

  • Conduct extraordinary alignment meetings:
    • The global Study Team with local Study Managers to align DBL scope requirements.
    • Local Study Managers with CRAs and sites to operationalize the DBL plan locally.

 

Develop tailored, compliant solutions.  

  • Ensure site contracts account for expectations and potential additional work related to interim DBLs and adjustments to RBM algorithms in adaptive protocols.
  • Capture alignment meeting input to streamline DBL scope.
  • Update DBL preparation materials to describe data handling in detail.
  • Train local Study Managers to cascade scope and details to CRAs and sites.

 

Deploy training, oversight, and anchoring.  

  • Update processes and reflect essentials in training.
  • Launch updated DBL communication and training.
  • Provide hyper-care during the early DBL period.
  • Anchoring and handover.  
    • Centrally monitor query turnaround and re-issued queries.
    • Capture lessons learned for continuous improvement.
    • Reinforce thorough DBL scope descriptions in future studies.
    • Transition long-term ownership to process owner.

 

Impact

  • Improved DBL transparency and expectation management across stakeholders.
  • Reduced site and CRA workload through realistic turnaround times and detailed guidance.
  • Secured timely, high-quality DBLs and strengthened trust in adaptive designs.

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