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

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

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05746247
Acronym
BEAT FH
Enrollment
610
Registered
2023-02-27
Start date
2022-03-01
Completion date
2026-06-30
Last updated
2026-08-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Familial Hypercholesterolemia

Keywords

machine learning, FIND FH

Brief 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

Detailed description

Phase 1: Aim 1: Adjusting and refining the application of the FIND FH tool to the UPHS EHR database Aim 2: Identifying the barriers and facilitators to making a diagnosis of FH and initiating or intensifying therapy for individuals with FH through qualitative interviews with clinicians and patients and creating a behavioral roadmap to inform the implementation approaches to test in the pilots Phase 2: Aim 1: Co-design implementation strategies using behavioral economics in partnership with the Family Heart Foundation Aim 2: Pilot implementation strategies with an enrollment goal of 80 patients total (40 per pilot) who have been flagged by the FIND FH tool as having probable FH to ascertain feasibility, acceptability, and appropriateness Phase 3: Conduct a large-scale pragmatic trial consistent with recommendations and learnings from the pilots in Phase 2

Interventions

BEHAVIORALTesting 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.

BEHAVIORALInviting 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.

Sponsors

University of Pennsylvania
Lead SponsorOTHER
Family Heart Foundation
CollaboratorUNKNOWN
Northwestern University
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

For the pilots, for patients with a PCP within the healthcare system, we are testing 2 different centralized referral models to increase the # of patients that see a lipid specialist (active choice vs default). For patients without a PCP within the health system, we are testing out health system mediated outreach vs Family Heart Foundation mediated outreach in order to increase the number of patients who make an appointment with a lipid specialist. For Phase 3: There will be 2 arms. Arm 1) Penn PCP: For patients with a Penn PCP, we will use a default centralized referral model to engage PCPs to sign a referral for their patients to see a lipid specialist. Arm 2) Direct to Patient: For patients without a PCP at Penn, we will conduct direct outreach to the patients to invite them to schedule a free telehealth appointment with a lipid specialist.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the interventionDay 1 - post intervention study visitPatients will be evaluated for familial hypercholesterolemia (FH), an underdiagnosed genetic type of high cholesterol. An FH diagnosis will be defined using the Dutch Lipid Clinic Network Diagnostic (DLCN) Criteria for FH (Unlikely, Possible, Probable, Definite). The clinician will also make a clinical assessment of FH informed by the DLCN score and clinical expertise from the appointment.

Secondary

MeasureTime frameDescription
Proportion of patients that have a change to their lipid management because of the interventionDay 1 - post intervention study visitDefined as the proportion of patients that start (or are prescribed) statins, ezetimibe, PCSK9 inhibitors, or have any intensification of any lipid lowering medications as a result of the visit with the lipid specialist for patients that qualify at the time of the appointment with the lipid specialist.
Proportion of patients that have a change to their lipid management among patients that were candidates for a change to their lipid management because of the interventionDay 1 - post intervention study visitDefined as the proportion of patients that start (or are prescribed) statins, ezetimibe, PCSK9 inhibitors, or have any intensification of any lipid lowering medications as a result of the visit with the lipid specialist for patients that qualified and were not already optimally treated at the time of the appointment.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 21, 2026