Accrual Quality Improvement Program for clinical trials

Ellen Richmond1, Goli Samimi1, Margaret House1

  • 1Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.

Abstract

Insights

The Accrual Quality Improvement Program enhances cancer prevention trial enrollment by continuously monitoring data to identify factors affecting recruitment. This real-time analysis allows for responsive adjustments to optimize enrollment rates for current and future studies.

Area of Science:

  • Clinical Trials
  • Cancer Prevention
  • Health Services Research

Background:

  • Early phase cancer prevention trials face recruitment challenges due to the lack of immediate individual benefit for participants.
  • The National Cancer Institute's Division of Cancer Prevention developed the Accrual Quality Improvement Program to address these challenges.
  • This program aims to understand and optimize determinants of accrual activity throughout clinical trials.

Purpose of the Study:

  • To describe the Accrual Quality Improvement Program (AQIP) and its role in enhancing accrual for early phase cancer prevention trials.
  • To highlight AQIP's capability for real-time data collection, analysis, and visualization to improve enrollment rates.

Main Methods:

  • AQIP utilizes a web-based infrastructure for collecting, analyzing, and storing qualitative and quantitative data at participant, site, and study levels.
  • It captures detailed recruitment data, including reasons for ineligibility or non-consent, and site-specific issues.
  • The program incorporates a Recruitment Journal and visualizes accrual rates against projections, offering performance ratings and improvement recommendations.

Main Results:

  • From 2014 to 2022, AQIP was implemented across 39 Consortia trials, collecting comprehensive trial information.
  • Data captured includes participant-level metrics (e.g., charts reviewed, contact attempts, consent status) and site/study-level factors (e.g., staffing, protocol amendments).
  • AQIP provides real-time tracking of accrual rates, performance evaluations, and intervention suggestions.

Conclusions:

  • Continuous data collection and quality improvement are essential for overcoming recruitment hurdles in early phase cancer prevention trials.
  • AQIP enables responsive strategy modifications and protocol adjustments for improved recruitment in ongoing trials.
  • Data from AQIP will inform future trial designs to enhance accrual efficiency.

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