Applying Population Management Best Practices to Preventative Genomic Medicine Trial

Not Applicable

• Conditions: Neoplastic Syndromes, Hereditary

• Registration Number: NCT07053813
• Lead Sponsor: University of Washington

Brief Summary

Preventive genomic medicine, particularly identification of individuals with inherited cancer risk, can improve longevity and quality of life, yet adherence to risk management following cancer genomic testing is poor. The proposed research refines and evaluates two highly scalable population management interventions, web resources and personalized outreach, designed to improve access and use of recommended risk management following cancer genetic testing. Research activities will be conducted in a vertically integrated health system and federally qualified health center and will address post-testing quality and patient safety concerns that are minimizing patient benefit and slowing investments in real world genomic medicine implementation.

Detailed Description

Preventive genomic medicine, particularly identification of individuals with inherited cancer risk, provides health systems with the opportunity to improve longevity and quality of life for their patients. The ability to uncover substantially elevated risk of disease through genomic testing, act to reduce that risk, and improve outcomes while lowering costs has been the longstanding promise of genomic medicine. In the case of inherited cancer, however, adherence to recommended risk management following genomic testing is low. Further, our pilot data suggests that health systems are reluctant to expand cancer genomic testing without a clearer idea of how to manage tested patients over time. Our goal in this application is to address this roadblock to genomic medicine implementation. Specifically, we will demonstrate the benefits that adopting population management interventions following genomic testing can provide health systems, using hereditary cancer as a case example. We will revise and rigorously evaluate two population management interventions (web resources and personalized outreach) that improve timely patient outreach and end-to-end tracking without burdening providers. Web resources is a low-touch intervention that links patients with existing educational resources. Personalized outreach is a high-touch intervention that connects patients with a dedicated care manager to discuss risk management and provide care reminders.

Both interventions are highly scalable and mirror population management programs that health systems have used to support cancer screening, diabetes management, and other evidence-based care for decades. We will compare web resources and personalized outreach to usual care in a pragmatic hybrid type-1 randomized trial that engages patients captured in hereditary cancer registries within two health systems, Kaiser Permanente Northwest (KPNW) and Denver Health (DH). KPNW is a vertically integrated health system and DH is a federally qualified health center, providing two highly unique evaluation settings. Our primary effectiveness outcome is adherence to recommended cancer screening over one year. We will collect secondary implementation outcomes, including the acceptability, appropriateness, feasibility, sustainability, and costs of high- and low-touch intervention approaches. By providing clinical champions with essential data and tools to select and implement population management interventions that address critical gaps in post-testing quality and patient safety, this innovative project will advance preventive genomic medicine.

Study Timeline

• Status Verified: 2025-06
• Study First Submitted: 2025-06-27
• Study First Submitted QC: 2025-06-27
• Last Update Submitted: 2025-06-27
• Study Start: 2025-07-01
• Study First Posted: 2025-07-08
• Last Update Posted: 2025-07-08
• Primary Completion: 2027-07-01
• Study Completion: 2028-07-01

Recruitment & Eligibility

• Status: ENROLLING_BY_INVITATION
• Sex: All
• Target Recruitment: 900

Inclusion Criteria

• Clinically actionable variant in at least one high penetrance cancer-related gene
• Age- and sex- eligible for guideline indicated risk management
• Remains eligible for risk management, given personal cancer and surgical history

Exclusion Criteria

• Previously opted out of research
• Previously opted out of genetic research
• On hospice or palliative care
• Has advanced dementia or severe cognitive impairment

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Proportion time covered	12 months following randomization	Proportion time covered by recommended cancer screening

Secondary Outcome Measures

Name	Time	Method
Risk reducing surgery	12 months following randomization	Proportion completing one or more risk reducing surgery

Trial Locations

Locations (2)

Denver Health; 🇺🇸 Denver, Colorado, United States

Kaiser Northwest; 🇺🇸 Portland, Oregon, United States