The Cascade Feasibility Pilot (HF) Phase 3

March 18, 2025 updated by: Nirav Shah, Endeavor Health

The Cascade Feasibility Pilot (HF): Improving Care Processes for Heart Failure Patients Using Continuous Remote Patient Monitoring and a Cascading Alert System

The study proposal is to deploy a wearable solution that predicts physiological perturbation comparable to invasive devices and to perform continuous remote patient monitoring; this will be connected to a structured, cascading, escalation pathway involving home health nurses, advanced practitioner providers, and heart failure specialists, and has the potential to transform heart failure management in the post-discharge period, where patients are the most vulnerable for readmission. This feasibility study will contribute to the understanding of post-discharge heart failure continuous remote patient monitoring, promote patient self-care, and has the potential of improving patient outcomes.

Study Overview

Detailed Description

Heart failure is a leading cause of hospital readmission. It results in significant mortality, morbidity, and health care utilization. Effective continuous remote patient monitoring (CRPM) can reduce readmissions, but it has only been realized via invasive monitoring. The study will focus on non-invasive heart failure CRPM through a structured cascading and escalating alert system. In this feasibility study, the study team will use a wearable biosensor and collect ambulatory physiological data that are analyzed by machine learning algorithms, potentially identifying physiological perturbation in heart failure patients. Alerts from this algorithm may be cascaded with other patient status data to inform management by the home health team via a structured protocol. The escalation pathway will engage home health, advanced practitioner providers, and heart failure specialists. In the first aim, the study team will perform a soft launch on five patients with an extensive evaluation to assess feasibility for the pilot trial. In aim 2, the study team will implement the feasibility pilot study. In aim 2a, the study team will conduct surveys and semi-structured interviews with both providers and patients. The surveys and interviews will be applied at three time points (initiation, maintenance, and post-study) to evaluate perceptions, acceptance, and experience of this CRPM solution. In aim 2b, the investigators will leverage temporal data mining, feature extraction, and patient clustering methods to identify valid patterns associated with the pathophysiological events of interest, using continuous physiological data, patient reports, and electronic health record data. The study team will also compare outcome and process measures from our pilot study to a retrospective cohort matched for key demographics and disease severity. This feasibility study will provide key learning for a larger efficacy clinical trial to evaluate if this non-invasive telemonitoring solution tied to structured patient management via cascading and escalating alert pathways can improve outcomes and reduce heart failure readmission.

Study Type

Interventional

Enrollment (Actual)

54

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Illinois
      • Evanston, Illinois, United States, 60201
        • NorthShore University HealthSystem Evanston Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 100 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Patient is an inpatient at Evanston Hospital
  • Patient is followed by the heart failure service team after discharge
  • Patient has a history of heart failure
  • Patient received at least one dose of IV diuretic at index hospitalization
  • Symptoms corresponding to NYHA function class II-IV
  • Patient has heart failure with reduced left ventricular ejection fraction (LVEF)<40%, or HF with mid-ranged ejection fraction (LVEF 40-50%), or HF with preserved ejection fraction (LVEF≥50%)
  • Patient is in the top 50% risk of readmission across NorthShore University HealthSystem's CAPE 30-day readmission model
  • Patient is at least 18 years of age
  • Patient is fluent in English
  • Patient agrees to protocol-required procedures

Exclusion Criteria:

  • Patient has cognitive or physical limitations that, in the investigator's opinion, limit the patient's ability to maintain patch device and phone
  • Patient has visual impairments
  • Patient has an allergy to hydrocolloid adhesives
  • Patient has present skin damage preventing them from wearing a study device
  • Patient has renal dysfunction requiring dialysis
  • Patient has CardioMEMS
  • Pregnancy
  • Patient receiving hospice care

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Pilot
39 eligible HF patients
Surveys and interviews with enrolled participants
Continuous patient monitoring through non-invasive biosensors coupled with machine learning algorithms, with a structured escalation and communication pathway for home health providers and HF care team

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Enrollment Rate
Time Frame: Through study completion, an average 1 year
Enrollment rate for entire patient cohort
Through study completion, an average 1 year
Adherence Rate
Time Frame: Through study completion, an average of one year
Patient adherence to electronic patient reported outcomes
Through study completion, an average of one year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Documented Diuretic Escalation
Time Frame: 30 days from patient discharge date
Number of patients on escalated diuretics dosage by the clinical care team during monitoring period
30 days from patient discharge date
30-day Readmission Rate
Time Frame: 30 days from patient discharge date
30-day readmission rate from the day of discharge
30 days from patient discharge date

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Nirav S Shah, Endeavor Health

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 17, 2021

Primary Completion (Actual)

March 30, 2023

Study Completion (Actual)

September 30, 2023

Study Registration Dates

First Submitted

July 16, 2021

First Submitted That Met QC Criteria

July 28, 2021

First Posted (Actual)

August 6, 2021

Study Record Updates

Last Update Posted (Actual)

April 3, 2025

Last Update Submitted That Met QC Criteria

March 18, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • EH20-288 Cascade HF

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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