Evaluating Efficacy of Digital Health Technology in the Treatment of Congestive Heart Failure
Assessing the Efficacy of Digital Health Technology in the Management of Congestive Heart Failure: An Evaluation of Three Novel Digital Health Products
1 other identifier
interventional
182
1 country
1
Brief Summary
The purpose of this study is to determine the efficacy of three novel digital health technologies versus usual care in the management of congestive heart failure, as assessed by a primary outcome of improvement in quality of life, and a variety of secondary outcomes that include metrics measuring patient and provider satisfaction, clinical efficiency, and patient outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 14, 2020
CompletedFirst Posted
Study publicly available on registry
May 19, 2020
CompletedStudy Start
First participant enrolled
September 21, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 20, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2021
CompletedResults Posted
Study results publicly available
December 23, 2022
CompletedMay 18, 2023
April 1, 2023
12 months
May 14, 2020
September 21, 2022
April 25, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Quality of Life at 90 Days Post Enrollment
Assessed by the change in score of the Kansas City Cardiomyopathy Questionnaire (KCCQ) survey between baseline scoring (at enrollment) and at 90 days post-enrollment. This survey is a 23 item self-administered instrument used to quantify a patient's perception of health status. For each domain reported, an overall summary scored is derived and transformed to a score range of 0-100. The Total Symptom score is the mean of the Symptom Frequency and Symptom Burden scores. The Overall Summary Score is the mean of the Physical Limitation, Total Symptom, Quality of Life and Social Limitation Scores. The Clinical Summary score is the mean of the Physical Limitation and Total Symptom scores. All KCCQ scores are summarized in 25-point ranges, where scores represent health status as follows: 0 to 24: very poor to poor; 25 to 49: poor to fair; 50 to 74: fair to good; and 75 to 100: good to excellent.
Day 90 after enrollment
Secondary Outcomes (28)
Change in Quality of Life at 180 Days Post Enrollment
180 days post enrollment
Number of Participants With Hospital Admission at 90 Days Post Enrollment
90 days post enrollment
Number of Participants With Hospital Admission at 180 Days Post Enrollment
180 days post enrollment
Prescribing of Guideline-directed Medical Therapy
90 days post enrollment
Prescribing of Guideline-directed Medical Therapy
180 days post enrollment
- +23 more secondary outcomes
Study Arms (4)
Control
NO INTERVENTIONPatients will receive usual care and no digital health device.
BodyPort
EXPERIMENTALPatients will receive the BodyPort device.
Noom
EXPERIMENTALPatients will receive a subscription to the Noom platform.
Conversa
EXPERIMENTALPatients will receive a subscription to the Conversa platform.
Interventions
Patients will receive BodyPort, a smart scale that provides advanced cardiac monitoring.
Patients will receive a subscription to use Noom, a personalized diet and weight management application.
patients will receive a subscription to use Conversa, a personalized automated coaching and motivational application.
Eligibility Criteria
You may qualify if:
- Adults greater than or equal to 18 and less than 80 years of age
- Enrolled in one of Yale New Haven Hospital's Disease Management or Heart Failure-focused cardiology clinics
- Diagnosed with congestive heart failure (preserved or reduced ejection fraction with or without diabetes)
You may not qualify if:
- Class IV heart failure
- Stage 4 or end stage renal disease (eGFR \< 30)
- Recipient of a heart transplant of ventricular assist device
- Under hospice care
- Dementia
- Incarceration
- Pregnancy
- Currently homeless or residing in an unstable living situation (i.e., transitional housing, rehab facility, etc.)
- Inability to consent
- Currently enrolled in a study investigating a digital health product or technology
- Life expectancy of less than 6 months as determined by clinical judgement of primary treating physician
- weight greater than 400 pounds
- unable to stand straight up for 30 seconds without assistance, such as from a cane, walker, or wall.
- non-English speaking
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yale Universitylead
- Boehringer Ingelheimcollaborator
- ZScollaborator
Study Sites (1)
Yale New Haven Hospital
New Haven, Connecticut, 06520, United States
Related Publications (1)
Victoria-Castro AM, Martin ML, Yamamoto Y, Melchinger H, Weinstein J, Nguyen A, Lee KA, Gerber B, Calderon F, Subair L, Lee V, Williams A, Shaw M, Arora T, Garcez A, Desai NR, Ahmad T, Wilson FP. Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure. JACC Heart Fail. 2024 Feb;12(2):336-348. doi: 10.1016/j.jchf.2023.09.022. Epub 2023 Nov 8.
PMID: 37943227DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
* Exclusion of patients over 80 years of age, which could intrinsically bias the trial towards those with more digital literacy. * A proportion of participants randomized to each of the groups that decided not to use the technology during their follow-up period. Our intention to treat analysis sought to evaluate real-world use and applicability. * The study was conducted across eleven outpatient HF clinics within a large health system in CT, USA, which could limit generalizability.
Results Point of Contact
- Title
- Francis Perry Wilson
- Organization
- Yale University
Study Officials
- PRINCIPAL INVESTIGATOR
Francis P Wilson, MD MSCE
Yale University
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 14, 2020
First Posted
May 19, 2020
Study Start
September 21, 2020
Primary Completion
September 20, 2021
Study Completion
December 1, 2021
Last Updated
May 18, 2023
Results First Posted
December 23, 2022
Record last verified: 2023-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Upon publication; indefinitely
Deidentified data underlying results will be made available upon publication in an appropriate database.