NCT04394754

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
182

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Sep 2020

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 14, 2020

Completed
5 days until next milestone

First Posted

Study publicly available on registry

May 19, 2020

Completed
4 months until next milestone

Study Start

First participant enrolled

September 21, 2020

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 20, 2021

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2021

Completed
1.1 years until next milestone

Results Posted

Study results publicly available

December 23, 2022

Completed
Last Updated

May 18, 2023

Status Verified

April 1, 2023

Enrollment Period

12 months

First QC Date

May 14, 2020

Results QC Date

September 21, 2022

Last Update Submit

April 25, 2023

Conditions

Keywords

Digital Health

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 INTERVENTION

Patients will receive usual care and no digital health device.

BodyPort

EXPERIMENTAL

Patients will receive the BodyPort device.

Device: BodyPort

Noom

EXPERIMENTAL

Patients will receive a subscription to the Noom platform.

Other: Noom

Conversa

EXPERIMENTAL

Patients will receive a subscription to the Conversa platform.

Other: Conversa

Interventions

BodyPortDEVICE

Patients will receive BodyPort, a smart scale that provides advanced cardiac monitoring.

BodyPort
NoomOTHER

Patients will receive a subscription to use Noom, a personalized diet and weight management application.

Noom

patients will receive a subscription to use Conversa, a personalized automated coaching and motivational application.

Conversa

Eligibility Criteria

Age18 Years - 79 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Study Sites (1)

Yale New Haven Hospital

New Haven, Connecticut, 06520, United States

Location

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.

MeSH Terms

Conditions

Heart Failure

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular Diseases

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

  • Francis P Wilson, MD MSCE

    Yale University

    PRINCIPAL INVESTIGATOR

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

Deidentified data underlying results will be made available upon publication in an appropriate database.

Shared Documents
STUDY PROTOCOL, SAP
Time Frame
Upon publication; indefinitely

Locations