A Decision-Making Grid for Coenrollment in Multiple Clinical Trials.

Background: Although subject coenrollment into multiple trials is desirable, thoughtful consideration is required to avoid compromising each trial's scientific integrity. Objective: We developed a Decision-Making Grid (GRID) to help investigators determine whether a clinical trial is compatible with...

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Detalles Bibliográficos
Publicado en:Nursing Research Vol. 74; no. 3; pp. 241 - 246
Autores principales: Curley, Martha A.Q., Kalvas, Laura Beth, Perry-Eaddy, Mallory A., Asaro, Lisa A., Wypij, David
Formato: research tables/charts Journal Article
Publicado: Lippincott Williams & Wilkins May/Jun2025
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Background: Although subject coenrollment into multiple trials is desirable, thoughtful consideration is required to avoid compromising each trial's scientific integrity. Objective: We developed a Decision-Making Grid (GRID) to help investigators determine whether a clinical trial is compatible with a second clinical trial, thus allowing coenrollment, or if it should be considered competing, prohibiting coenrollment. Methods: The GRID evaluates 21 elements across four domains: scientific integrity, data interpretation, feasibility/burden, and additional considerations. Optimally, each principal investigator shares their protocol, completes the GRID independently, and then meets to compare their perspectives, seeking a mutually acceptable agreement. Results: The GRID has facilitated coenrollment decision-making for the RESTORE and PROSpect pediatric critical care clinical trials. In RESTORE , five trials were reviewed; one was approved for coenrollment, and four were deemed competing. In PROSpect , 26 trials have been reviewed; 20 are approved for coenrollment, and six were deemed competing. In both RESTORE and PROSpect , the principal investigators of multiple trials arranged a mutually acceptable sharing agreement. Discussion: The GRID provides a systematic process to help investigators evaluate the effect of coenrollment in multiple clinical trials.