Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Testing Promising Behavioral Economic Interventions to Promote Enrollment Diversity in Cardiovascular Cohort Studies

University of Pennsylvania · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
cardiovascular-diseasesna
Problem. Randomized clinical trials (RCTs) are the best way to determine if interventions are safe and effective. Usually only a small number of eligible patients enroll. This is because trials require people to consent to be enrolled and randomized. Black and Hispanic people are more likely to develop heart disease. They are also more likely to have risk factors for heart disease that are not controlled. Yet they are very under-represented in heart disease trials. This raises concerns about if trial results can be applied to the general population. Trial sponsors are required to enroll patients that reflect the racial and ethnic diversity of real-world people. Black and Hispanic people continue to enroll in trials at a lower rate. The goal of this study is to conduct a series of small randomized trials to test recruitment strategies to increase how many Black and Hispanic people enroll in heart disease clinical trials without diminishing trust. The investigators will test different recruitment strategies for participant enrollment in a few different areas. They will study the method of outreach, the way messages are framed, defaults, and enrollment incentives. They will run smaller recruitment strategy trials within larger parent trials (e.g. Penn Medicine Biobank cohort study). They will run a small recruitment strategy trial to test each approach and then include what they learned in the next small trial.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1101275
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive