Creation of a Digital Heart Failure Registry Using a Novel Mobile Health Platform: HUGO-HF
NCT ID: NCT03810638
Last Updated: 2020-08-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
85 participants
OBSERVATIONAL
2019-01-15
2019-12-31
Brief Summary
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Detailed Description
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One of the key reasons for this is a lack of patient engagement and trust in the research enterprise, especially among the elderly and minorities, groups that are disproportionally impacted by heart failure. To address this, the investigators plan to test a novel patient-powered, smartphone-based mobile health platform (called Hugo) developed at Yale School of Medicine for real-world surveillance of patient reported outcomes in heart failure patients treated at 3 Major Academic Medical Centers. Participants will then be queried about specific symptoms and health conditions at enrollment and prespecified time points for 2 years. The subgroup of participants who own devices that track their activity data will have the option of syncing them to this mobile health platform to provide additional insights into their health and health outcomes. Additionally, participants will have the option to learn about opportunities to participate in heart failure clinical research. This digital registry will also allow seamless integration of patient reported outcomes, electronic health record (EHR) data, and pharmacy information into data collection.
Overall, the aim for this study is to create a digital registry using a novel patient centered mobile health platform of heart failure patients across large health care systems that allows investigators to engage patients in an entirely novel manner.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Heart Failure Patients
All Heart Failure Patients seen at 3 major academic medical centers.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* English Speaking
* Diagnosis of heart failure
* Participant is willing and able to read and sign consent and participate in study
* Participant has an email account
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Yale University
OTHER
Responsible Party
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Locations
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Yale New Haven Hospital
New Haven, Connecticut, United States
Countries
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References
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Ahmad T, Freeman JV, Asselbergs FW. Can advanced analytics fix modern medicine's problem of uncertainty, imprecision, and inaccuracy? Eur J Heart Fail. 2019 Jan;21(1):86-89. doi: 10.1002/ejhf.1370. Epub 2018 Dec 10. No abstract available.
Krumholz HM. Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system. Health Aff (Millwood). 2014 Jul;33(7):1163-70. doi: 10.1377/hlthaff.2014.0053.
Bhavnani SP, Parakh K, Atreja A, Druz R, Graham GN, Hayek SS, Krumholz HM, Maddox TM, Majmudar MD, Rumsfeld JS, Shah BR. 2017 Roadmap for Innovation-ACC Health Policy Statement on Healthcare Transformation in the Era of Digital Health, Big Data, and Precision Health: A Report of the American College of Cardiology Task Force on Health Policy Statements and Systems of Care. J Am Coll Cardiol. 2017 Nov 28;70(21):2696-2718. doi: 10.1016/j.jacc.2017.10.018. No abstract available.
Related Links
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A Novel Digital Platform for Research
Other Identifiers
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2000024317
Identifier Type: -
Identifier Source: org_study_id
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