Recruitment experience for a pragmatic randomized controlled trial: Using EMR initiatives and minimizing research infrastructure
Recommended Citation
Joseph CL, Ownby DR, Zoratti EM, Johnson DA, Considine S, Bourgeois R, Melkonian C, Miree C, Johnson CC, Lu M. Recruitment experience for a pragmatic randomized controlled trial: Using EMR initiatives and minimizing research infrastructure. Clin Res Regul Aff 2016; 33(2-4):25-32.
Document Type
Article
Publication Date
1-1-2016
Publication Title
Clin Res Regul Aff
Abstract
CONTEXT: Modernized approaches to multisite randomized controlled trials (RCT) include the use of electronic medical records (EMR) for recruitment, remote data capture (RDC) for multisite data collection, and strategies to reduce the need for research infrastructure. These features facilitate the conduct of pragmatic trials, or trials conducted in "real life" settings.
OBJECTIVE: We describe the recruitment experience of an RCT to evaluate a clinic-based intervention targeting urban youth with asthma.
MATERIALS AND METHODS: Using encounter and prescription databases, a list of potentially-eligible patients was linked to the Epic appointment scheduling system. Patients were enrolled during a scheduled visit and then electronically randomized to a tailored versus generic online intervention.
RESULTS AND DISCUSSION: 1146 appointments for 580 eligible patients visiting 5 clinics were identified, of which 45.9% (266/580) were randomized to reach targeted enrollment (n=250). RDC facilitated multisite enrollment. Intervention content was further personalized through real- time entry of asthma medications prescribed at the clinic visit. EMR monitoring helped with recruitment trouble-shooting. Systemic challenges included a system-wide EMR transition and a system-wide reorganization of clinic staffing.
CONCLUSIONS: Modernized RCTs can accelerate translation of research findings. Electronic initiatives facilitated implementation of this RCT; however, adaptations to recruitment strategies resulted in a more "explanatory" framework.
PubMed ID
28479846
Volume
33
Issue
2-4
First Page
25
Last Page
32