Implementing a Digitally-enabled Community Health Worker Intervention for Patients With Heart Failure

April 2, 2025 updated by: Jocelyn Carter, Massachusetts General Hospital
The purpose of this study is to assess the acceptability, feasibility, and preliminary effectiveness of implementing a 30-day digitally-enabled community health worker intervention compared to usual care with a community health worker in reducing heart failure 30-day readmissions within a pilot randomized controlled trial.

Study Overview

Detailed Description

Heart failure (HF) is a highly prevalent disease in the United States, with elevated morbidity and mortality. Nearly 6.2 million people in the US are affected by HF and this number is expected to rise to 8.5 million by 2030. Total direct medical costs of HF, mostly generated by inpatient hospitalizations, are estimated to increase from $21 billion in 2012 to $53 billion by 2030. HF is the leading cause of 30-day readmissions in the US; a quarter of these are considered to be preventable. Most patients with HF are readmitted to hospital medicine services for non-HF co-morbidities (e.g. pneumonia) with clinical, social, and behavioral factors driving readmissions. Despite numerous interventions designed to prevent readmissions, including telemetry monitoring, only marginal HF outcome improvement has been observed. HF readmission rates remain elevated and could be prevented by a multidisciplinary approach promoting better connections to and communication with clinical care teams while addressing social and behavioral barriers to HF care.

One approach that has demonstrated improved chronic disease outcomes by addressing social, behavioral, and basic clinical barriers to care- and has yet to be formally studied in HF populations- is community health workers (CHWs). CHWs are members of clinical teams who address social, economic, educational, behavioral, and basic clinical factors influencing health outcomes while fostering patient connections to care teams. CHW care delivery is one of a few interventions shown to reduce readmissions in patients with chronic disease. CHWs have basic clinical knowledge of specific conditions, along with a skillset designed to address social and behavioral drivers of health outcomes like 30-day readmissions. However, CHW care is challenged by key factors, including intensive 1:1 care delivery, limiting its scale and efficiency.

In 2016, a biotechnology company launched a HF digital platform within a mobile phone application to help reduce 30-day readmissions in patients with HF by 1) leveraging artificial intelligence to minimize false alarms in biometric monitoring, 2) promoting early identification of decline in HF patients, and 3) encouraging digital and in-person communication between patients and care teams. In preliminary findings, digital platform clinical trial data has shown promise in reducing HF 30-day readmissions. This study will investigate the effectiveness of this platform in combination with CHW care in reducing readmissions for medically and socially complex patients with HF. Through a partnership with the digital platform creators, our team has helped develop a prototype for patients with HF cared for by CHWs ("digitally-enabled" CHW care). Specifically, the aim of this proposal are to assess the acceptability, feasibility, and preliminary effectiveness of implementing a digitally-enabled CHW intervention compared to CHW care to reduce HF 30-day readmissions within a pilot RCT (n=50) My central hypothesis is that pairing patients with a digitally-enabled CHW intervention that addresses social and behavioral barriers to HF care, promotes communication with clinical care teams, and improves CHW efficiency will reduce 30-day readmissions while improving patient engagement with HF care.

Study Type

Interventional

Enrollment (Actual)

56

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

    • Massachusetts
      • Boston, Massachusetts, United States, 02114
        • Massachusetts General 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 99 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Age ≥18 years
  • HF diagnosis
  • English proficiency
  • Residence within 30 miles of MGH
  • Being cared for by a cardiologist or primary care provider who manages their HF
  • Current use and ownership of a smart phone

Exclusion Criteria:

  • Cognitive deficits that prevent digital or human engagement
  • Lack of health insurance
  • Invoked health proxy or guardianship status
  • History of smart phone use

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: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention
Patients identified by the MGH readmission database and the EHR as eligible for the study will be enrolled. Participants will be paired with a community health worker and oriented to the digital platform ( mobile app, digital weight scale, digital blood pressure monitor, biosensor with armband). Participants will have access to the community health worker and the digital platform throughout the 30-day study interval.
Patients will be paired with a CHW and be encouraged to wear the arm biosensor continuously, take blood pressure daily, respond to short symptom assessments daily or every other day, complete weekly life quality surveys, watch weekly HF educational videos and engage in digital (e.g., video visit) and phone-based, and in-person CHW interactions. Each participant will have access to the digital platform and CHW staff during their hospitalization and for the 30 days following discharge for a typical study duration of approximately 32-35 days. Participants will complete questionnaires at the time of enrollment and at study end. Participants will also complete exit interviews in-person or via phone after the study ends.
Active Comparator: Usual CHW Care
Patients identified by the MGH readmission database and the EHR as eligible for the study will be enrolled. Participants will be paired with a community health worker. Participants will have access to the community health worker throughout the 30-day study interval.
Patients will be paired with a CHW for 30-days. Participants will complete questionnaires at the time of enrollment and at study end. Participants will also complete exit interviews in-person or via phone after the study ends.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Intervention Acceptability
Time Frame: 30 days
Proportion of patients indicating that they would be willing to use the intervention again
30 days
Intervention Feasibility
Time Frame: 30 days
Proportion of patients that used the intervention during the study period
30 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
30-day Readmission Rate
Time Frame: 30 days
Proportion of patients readmitted to the hospital within 30-days after hospital discharge
30 days
30-day Missed Appointment Rate
Time Frame: 30 days
Proportion of patients missing PCP or specialty appointments within 30-days after hospital discharge
30 days
30-day Emergency Department Visit Rate
Time Frame: 30 days
Proportion of patients returning to the Emergency Department within 30-days of hospital discharge
30 days
Heart Failure Knowledge (Associated With a Subset of Participants Assessed for This Measure Prior to Being Randomized to the Intervention or Control Arm)
Time Frame: Baseline
Proportion of patients perceiving their heart failure knowledge as very good or good (per an internally validated knowledge questionnaire; very good, good, fair, poor)
Baseline

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient Satisfaction
Time Frame: 30 days
Proportion of patients indicating after intervention that they were "satisfied" on a scale ranging from "satisfied" to "neutral" to "not satisfied
30 days
Medication Compliance
Time Frame: 30 days
Proportion of patients demonstrating improved medication compliance on the MMAS after the intervention
30 days
Quality of Life (Patient Perceptions and Attitudes, Functionality and Mobility)
Time Frame: 30 days
Proportion of patients demonstrating improved perceived quality of life on the KCCQ after the intervention
30 days

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Jocelyn Carter, MD, Massachusetts General Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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)

September 23, 2022

Primary Completion (Actual)

June 1, 2023

Study Completion (Actual)

August 31, 2024

Study Registration Dates

First Submitted

November 10, 2021

First Submitted That Met QC Criteria

November 10, 2021

First Posted (Actual)

November 22, 2021

Study Record Updates

Last Update Posted (Actual)

April 20, 2025

Last Update Submitted That Met QC Criteria

April 2, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2018P002014
  • 1K23HL150287-01 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The data can be available by request only after academic journal publication. Any formal requests should be sent by external research teams and will be reviewed by the corresponding author.

IPD Sharing Time Frame

The data will become available upon request after academic journal publication.

IPD Sharing Access Criteria

Access criteria will be determined and confirmed by the corresponding author upon review of the formal data request.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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