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

Not Applicable
Conditions
Familial Hypercholesterolemia
Interventions
Behavioral: Inviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluation
Behavioral: Testing centralized referral mechanism for PCPs
Registration Number
NCT05746247
Lead Sponsor
University of Pennsylvania
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

Recruitment & Eligibility

Status
ENROLLING_BY_INVITATION
Sex
All
Target Recruitment
80
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
Exclusion Criteria
  • Already have been clinically diagnosed with FH using the proper ICD-10 code

Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Arm && Interventions
GroupInterventionDescription
Patients without a primary care physician within the UPHS health systemInviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluationPatients without a primary care physician within the UPHS health system will receive direct outreach from the study team to invite them to schedule a visit with a lipid specialist for a formal evaluation of FH.
Patients with a primary care physician within the UPHS health systemTesting centralized referral mechanism for PCPsFor patients with a primary care physician within the UPHS health system, their primary care physicians will be asked to review and sign physician referrals to a lipid specialist and invite patients to schedule a visit with a lipid specialist for a formal evaluation of FH.
Patients with a primary care physician within the UPHS health systemInviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluationFor patients with a primary care physician within the UPHS health system, their primary care physicians will be asked to review and sign physician referrals to a lipid specialist and invite patients to schedule a visit with a lipid specialist for a formal evaluation of FH.
Primary Outcome Measures
NameTimeMethod
Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the interventionDay 1 - post intervention study visit

Patients 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 Outcome Measures
NameTimeMethod
Proportion of patients that have a change to their lipid management because of the interventionDay 1 - post intervention study visit

Defined 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 visit

Defined 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.

Trial Locations

Locations (1)

University of Pennsylvania Health System

🇺🇸

Philadelphia, Pennsylvania, United States

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