By InvitationNot Applicable

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

United States750 participantsStarted 2022-03-01

Plain-language 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

Who can participate

Age range18 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * 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 Exclusion Criteria: * 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

What they're measuring

Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the intervention

Timeframe: Day 1 - post intervention study visit

Trial details

NCT IDNCT05746247

SponsorUniversity of Pennsylvania

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2026-01-31

View on ClinicalTrials.gov More Familial Hypercholesterolemia trials