Successes and lessons learned in database development for national multi-site cancer care delivery research trials:

David Zahrieh1, Shauna L Hillman2, Angelina D Tan2

  • 1Department of Quantitative Health Sciences and Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, 55905, USA. zahrieh.david@mayo.edu.

Trials
|August 9, 2022
PubMed
Abstract

Insights

Implementing complex cancer care delivery research (CCDR) trials requires innovative strategies for multilevel data collection and management. Sharing lessons learned from five Alliance CCDR trials in Medidata Rave can improve future pragmatic oncology research.

Area of Science:

  • Oncology
  • Clinical Trials
  • Health Services Research

Background:

  • Alliance for Clinical Trials in Oncology (Alliance) uses Medidata Rave® for clinical data capture.
  • Cancer Care Delivery Research (CCDR) trials are increasing in complexity, involving patients, providers, and practices.
  • Multilevel data collection in pragmatic settings presents unique challenges for database development and data management.

Purpose of the Study:

  • To describe strategies for database development and data management in multilevel CCDR trials.
  • To share lessons learned from implementing five pragmatic CCDR trials within the Alliance.
  • To inform future innovative strategies for oncology clinical trials.

Main Methods:

  • Analysis of five Alliance CCDR trials to identify database development needs.
  • Description of novel strategies applied to overcome challenges in multilevel enrollment, data capture, and monitoring.
  • Categorization of strategies into multilevel enrollment, quantitative/qualitative data capture, and multilevel data monitoring.

Main Results:

  • Developed flexible enrollment functionality for patient and non-patient participants in Rave.
  • Utilized diverse data collection modalities, requiring infrastructure for data exchange with Rave.
  • Implemented multilevel data monitoring by orienting site coordinators to multiple databases and participant links.

Conclusions:

  • Challenges in multilevel data collection for pragmatic trials are surmountable.
  • Sharing experiences can foster collaboration and improve future CCDR trial implementations.
  • Addressing data management gaps is crucial for advancing cancer care delivery research.

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