Improving Diagnosis and Clinical Management of Familial Hypercholesterolemia Through Integrated Machine Learning, Implementation Science, and Behavioral Economics

Enrolling by invitation · Not applicable

Conditions studied: Familial Hypercholesterolemia

In brief

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 facts

Study ID

NCT05746247

Run by

University of Pennsylvania

People needed

750

Starts

2022-03-01

Expected to finish

2026-06-30

Last updated by the study team

2026-03-05

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Must be a patient at Penn Medicine
• Must have been flagged by the FIND FH tool as having a high probability of FH
• First language is English
• Resides in PA or NJ

You may not qualify if…

• Already have been clinically diagnosed with FH using the proper ICD-10 code
• Currently see a lipid specialist at Penn Medicine
• Pass study clinician's Study Validity Check

Where it is running

• University of Pennsylvania Health System — Philadelphia, Pennsylvania, United States

Full record on ClinicalTrials.gov

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