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DCM Consortium PIs Rate Traditional Genetic Care Models More Acceptable Than Physician-Led ModelsWhich way to test for heart disease feels right to doctors?

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Key Takeaway
Consider that DCM Consortium PIs found traditional genetic care models more acceptable than physician-led models.

A cross-sectional needs assessment with focus group discussions evaluated care models for genetic evaluation of dilated cardiomyopathy (DCM) among 24 Principal Investigators (PIs) from the DCM Consortium. The study assessed acceptability of different care models and implementation of genetic evaluation components during the Summer Scientific Symposium in July 2025.

The Traditional-Synchronous care model was rated significantly more acceptable than the Physician/Advanced Practice Provider Conducted model (15.7±4.1 vs 9.8±2.9, p=0.027, n=6). Similarly, the Traditional-Asynchronous model was rated more acceptable than the Physician/Advanced Practice Provider Conducted model (15.4±3.0 vs 9.8±2.9, p=0.023, n=8). Regarding clinical application, 83% of PIs (n=20) reported using genetic information for ICD placement decisions, and 63% (n=15) used it for cardiac transplant decisions. Safety and tolerability data were not reported.

Key limitations include minimal implementation of clinical genetic evaluation for DCM patients across the consortium and highly variable genetic care models and components across the 24 sites. The study was conducted among a small, specialized group of PIs, and findings should not be generalized beyond this population. Understanding this practice model variability may provide insight for developing more scalable care approaches, but these results represent early assessment data from a specific research network.

Imagine being a doctor who needs to decide how to check for genetic heart risks. In this study, 24 leading experts from the DCM Consortium weighed in on different ways to offer genetic testing for dilated cardiomyopathy. They compared standard in-person visits against models where a doctor or advanced practice provider handled the test remotely or directly. The experts strongly preferred the traditional, in-person approach over the other options.

When it came to using genetic results for major decisions like implanting a device or considering a transplant, most experts said yes to using that information. Yet, the study highlights a big problem: care for this condition varies wildly across different hospital sites. There is no single, defined way to do this genetic evaluation yet.

This research does not prove that one method is better for patients, but it shows that doctors feel more comfortable with traditional visits. Because the study only asked 24 experts, we cannot yet say what will work for everyone. Understanding these differences is the first step toward creating care plans that are easier to copy and use everywhere.

What this means for you:
Doctors prefer traditional visits for genetic heart testing, but care varies widely across sites.

Study Details

Sample sizen = 6
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Background: Clinical genetic evaluation for patients with dilated cardiomyopathy (DCM) is minimally implemented and models of care are not defined. To understand current genetics care for DCM, a systematic needs assessment was conducted. Methods: Principal Investigators (PIs) of the DCM Consortium convened at the Summer Scientific Symposium in July 2025. An electronic needs assessment was collected from the 24 PIs in advance to define current care models by evaluating which Heart Failure Society of America-recommended genetic evaluation components are conducted, by whom, and time required. Descriptive statistics were generated to characterize model features. Focus group discussions explored barriers and facilitators to implementing genetic services. Results: Four care models emerged from the PI responses: 1 -- Traditional-Synchronous (25%, n=6, requiring the most time per patient), 2 -- Traditional-Asynchronous (33%, n=8), 3 -- Externally Sourced (17%, n=4), and 4 -- Physician/Advanced Practice Provider Conducted (25%, n=6, requiring the least time per patient). All models used genetic testing, whereas other components were implemented variably or not at all. Models 1 (15.7{+/-}4.1) and 2 (15.4{+/-}3.0) were rated more acceptable than Model 4 (9.8{+/-}2.9, 1 vs 4: p=0.027; 2 vs 4, p=0.023). Notably, 88% of PIs used genetic information for treatment decisions, including ICD placement (83%; n=20) or cardiac transplant (63%; n=15). Major facilitator themes from focus group discussions included having a genetic counselor on the HF team and developing authoritative standards directing provision of DCM genetic services. Barrier themes included operational challenges, limited personnel, clinician under-recognition, need for new service delivery models, and billing/reimbursement. Conclusions: DCM genetic care models and components were highly variable across the 24 sites of the DCM Consortium, even though all sites discussed similar factors that enable or hinder implementing genetic services for DCM. Understanding the basis of practice model variability may provide insight to yield more scalable care approaches.
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