Clinical Research Directory
Browse clinical research sites, groups, and studies.
Improving Diagnosis and Clinical Management of Familial Hypercholesterolemia Through Integrated Machine Learning, Implementation Science, and Behavioral Economics
Sponsor: University of Pennsylvania
Summary
The goal of this study is to identify individuals at high risk of FH, and to encourage the appropriate diagnosis and treatment of individuals at high risk of FH through the use of implementation science and behavioral economics principles. Phase 1: Applying the FIND FH tool to the health system EHR and gathering data for pilot development; Phase 2: Pilot development and implementation; Phase 3: Conduct a large-scale pragmatic trial consistent with recommendations and learnings from the pilots in Phase 2
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
750
Start Date
2022-03-01
Completion Date
2026-06-30
Last Updated
2026-03-05
Healthy Volunteers
No
Conditions
Interventions
Testing centralized referral mechanism for PCPs
For patients with a Penn PCP, we are testing a centralized referral mechanism to increase the number of referrals to preventive cardiology (default/opt out referrals) For default/opt out: PCPs will receive a pended order for a referral for their patient to see a lipid specialist for a formal FH evaluation. Not interacting with the pended order or accepting the pended order will indicate that the referral to a lipid specialist should be placed.
Inviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluation
All eligible patients will be informed that they have been identified by the FIND FH tool as potentially having familial hypercholesterolemia. All patients will be invited to schedule a telehealth appointment with a lipid specialist for a formal evaluation for FH.
Locations (1)
University of Pennsylvania Health System
Philadelphia, Pennsylvania, United States