Actively Recruiting
Developing a Digital Shared Decision-Making Aid to Improve Patient-Centered Outcomes in Implantable Cardioverter-Defibrillator (ICD) Decisions Among Older Patients
Led by Stanford University · Updated on 2026-04-27
600
Participants Needed
2
Research Sites
78 weeks
Total Duration
On this page
Sponsors
S
Stanford University
Lead Sponsor
N
National Heart, Lung, and Blood Institute (NHLBI)
Collaborating Sponsor
AI-Summary
What this Trial Is About
Advanced heart failure affects millions and carries a high risk of sudden cardiac death due to abnormal heart electrical activity. This study focuses on creating a digital decision aid to help older heart failure patients make informed choices about implanting an Implantable Cardioverter-Defibrillator (ICD), a device that can prevent sudden death but has significant drawbacks. Researchers will gather insights through surveys, interviews, and focus groups to guide the development of this digital tool, which will later be tested in a randomized clinical trial against usual care. Participants will use one of three options: a patient-facing app with personalized risk information, the same app without personalized risk data, or receive usual care without the app. The digital aid includes clinical data input, educational videos, quizzes, risk exploration, and a worksheet to support shared decision-making between patients and clinicians. The study involves iterative app development with repeated user testing and will include multiple clinical sites after initial development. During the study, participants will complete surveys, interviews, and focus groups to provide feedback on the app and decision-making process. Researchers will collect demographic and health information and track reasons for participation or ineligibility. The main outcome measured is the Decisional Conflict Scale immediately after the decision visit and at three months. The study is expected to continue through early 2028, with ongoing refinement of the digital tool based on participant input.
CONDITIONS
Brief Title
Developing a Digital Aid to Improve ICD Decisions
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Meets or approximates minimal criteria for primary prevention ICD placement with left ventricular ejection fraction less than 35%
- Clinical diagnosis of heart failure with severe ischemic or nonischemic dilated cardiomyopathy and NYHA Class II or III heart failure
- Age 70 years or older
- Able to consent and follow study instructions in English, Mandarin, or Spanish
You will not qualify if you...
- Previous ICD implantation (excluding pacemakers)
- Indication for secondary prevention ICD implantation
- History of mechanical heart valve replacement
- Recent myocardial infarction within 40 days
- Recent revascularization within 90 days
- Familial or genetic disorders with high risk of ventricular arrhythmias such as long QT syndrome or hypertrophic cardiomyopathy
- Any contraindications to ICD placement
- Life expectancy less than 6 months or other clinical considerations
- Unwilling or unable to consider ICD placement
- Any contraindications to ambulatory participation
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Varies per participant until decision-making visit
Participants use a digital decision-making app before a clinical visit to help decide on ICD placement. Some apps provide personalized risk information while others provide generic information. Usual clinical care participants do not use the app.
1 baseline visit and 1 decision-making visit
Duration - Up to 3 months after ICD implantation
Participants who undergo ICD implantation as part of their routine medical care are observed for outcomes after the procedure.
Approximately 2 follow-up visits
Trial Site Locations
Total: 2 locations
1
University of California, San Francisco
San Francisco, California, United States, 94143
Actively Recruiting
2
Eastern Carolina University
Greenville, North Carolina, United States, 27858
Actively Recruiting
Research Team
R
Randall S Stafford, MD, PhD, MHS
D
Darlyne Esparza
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
3
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