Trials (Jul 2024)

Streamlining electronic reporting of serious adverse events (SAEs) using the REDCap data collection system: the eSAE Project

  • Joanna Black,
  • Patrick Julier,
  • Lucy Eldridge,
  • Vicki S. Barber

DOI
https://doi.org/10.1186/s13063-024-08317-0
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 7

Abstract

Read online

Abstract Background It is essential that electronic data collection (EDC) systems are both compliant with regulations and the principles of Good Clinical Practice (GCP) to allow for the timely and accurate reporting of data including safety data. For clinical trials of investigational medicinal products (CTIMPs), investigators must immediately report to the sponsor any serious adverse event (SAE) that occurs in a site for which they are responsible. It is therefore expected that sponsors provide systems for timely review and reporting should a SAE be classified as a suspected unexpected serious adverse reaction (SUSAR). Challenges arise when data related to adverse events (AEs) needs to be re-entered for SAEs; this can be prone to error and may delay reporting. Additionally, recognising what has changed from an initial SAE report when an investigator responds to queries raised can cause errors. Method A multi-disciplinary working group came together from a UK academic clinical trials unit (CTU) to establish if an electronic system could be created in the unit’s open-source EDC system—REDCap, to manage SAEs in an efficient way. Results A module has been created in REDCap to facilitate electronic SAE reporting: enabling an AE form to automatically trigger an SAE form for any AE which is also a SAE, prepopulating relevant fields of the SAE form, reducing the risk of delay and error when entering data into the SAE form. The system has also been developed with an embedded code to allow for instant visual recognition of any data updated following reporting to allow the sponsor to immediately review and resolve SAEs in a timely manner, complying with UK regulatory reporting. This functionality ‘The eSAE Project’ is now an active project for all of our new trials where data collection is undertaken using the REDCap system. Conclusion The eSAE Project coded into REDCap offers a unique way of populating SAE forms with information already entered in the initial AE forms as applicable, coupled with highlighting any updates during the lifetime of the SAE for sponsors to identify any new information that needs to be reassessed to process and report the SAE.

Keywords