Audience segmentation as a strategy for enhancing the use of research registries for recruiting patients into clinical trials
Elizabeth Flood-Grady, Jiawei Liu, Samantha R. Paige and 5 more
Contemporary Clinical Trials Communications · 2020
doi:10.1016/j.conctc.2019.100510 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Introduction: Health research registries have great potential to increase awareness of research opportunities among diverse patient populations and reduce disparities in clinical trial accrual. However, little research has focused on patients’ intentions to participate in clinical trials once they are enrolled in the registry and their intentions to remain in the registry over time. Methods: Patients (N = 312) enrolled in a university-based health research registry (i.e., Consent2Share) in the southeastern region of the US participated in an online survey. Results: Health research registry knowledge, perceived values, self-efficacy, trust, having chronic health concerns, and consent recall were positively correlated with intentions to remain enrolled in the research registry and participate in future clinical trials. Health research registry consent recall had significant positive associations with registry knowledge, perceived values, trust, registry retention, and participating in future trials. Conclusion: The process of consenting patients to the health research registry is important for recruitment, registry retention, and participation in future clinical trials. We identified key points of emphasis to expand participation in research registries as a strategy to increase clinical trial enrollment, such as deploying precision messages and tailored interventions. Keywords: Research registry, Clinical trials, Recruitment, Consent recall, Communication
Abstract licence: CC BY-NC
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.