Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs

Melody Greer1, Maryam Y Garza1, Jeannette Lee2

  • 1Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Insights

This study addresses challenges in pediatric clinical trials, particularly for rural populations. It details a successful multi-site data center deployment using modified infrastructure and open-source tools.

Area of Science:

  • Pediatric clinical research
  • Health informatics
  • Clinical trial management

Background:

  • Children are historically underrepresented in clinical trials, especially those in rural or underserved areas.
  • Multi-center trials in rural settings face significant informatics challenges.
  • Addressing these challenges requires robust informatics infrastructure and effective data management strategies.

Purpose of the Study:

  • To describe the implementation of a multi-site data coordinating and operations center for pediatric clinical trials.
  • To outline informatics approaches for data collection, processing, and management in rural multi-center studies.
  • To provide a model for overcoming informatics barriers in pediatric research networks.

Main Methods:

  • Leveraging and modifying existing local infrastructure.
  • Utilizing open-source tools for data management.
  • Synthesizing literature on data collection/management and Good Clinical Data Management Practices.

Main Results:

  • Successful deployment of a multi-site data coordinating and operations center.
  • Demonstrated feasibility of conducting multi-center pediatric trials in rural areas.
  • Established data collection and management protocols tailored to the IDeA States Pediatric Clinical Trial Network (ISPCTN).

Conclusions:

  • Modified local infrastructure and open-source tools can overcome informatics challenges in rural multi-center trials.
  • Effective data management is crucial for the success of pediatric clinical networks.
  • The ISPCTN model provides a scalable solution for inclusive pediatric research.

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