Improving Diagnosis and Clinical Management of Familial Hypercholesterolemia Through Integrated Machine Learning, Implementation Science, and Behavioral Economics
- Conditions
- Familial Hypercholesterolemia
- Interventions
- Behavioral: Inviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluationBehavioral: 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
- Must be a patient at Penn Medicine
- Must have been flagged by the FIND FH tool as having a high probability of FH
- Already have been clinically diagnosed with FH using the proper ICD-10 code
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- CROSSOVER
- Arm && Interventions
Group Intervention Description Patients without a primary care physician within the UPHS health system Inviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluation Patients 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 system Testing centralized referral mechanism for PCPs For 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 system Inviting patients to complete a telehealth appointment with a lipid specialist for an FH evaluation For 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
Name Time Method Proportion of flagged patients diagnosed with FH (familial hypercholesterolemia) as a result of the intervention Day 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
Name Time Method Proportion of patients that have a change to their lipid management because of the intervention Day 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 intervention Day 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