- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05130008
Implementing a Digitally-enabled Community Health Worker Intervention for Patients With Heart Failure
Study Overview
Status
Conditions
Intervention / Treatment
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
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
Massachusetts
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Boston, Massachusetts, United States, 02114
- Massachusetts General Hospital
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
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
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)
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Baseline
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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
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30 days
|
|
Quality of Life (Patient Perceptions and Attitudes, Functionality and Mobility)
Time Frame: 30 days
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Proportion of patients demonstrating improved perceived quality of life on the KCCQ after the intervention
|
30 days
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Jocelyn Carter, MD, Massachusetts General Hospital
Publications and helpful links
General Publications
- Heidenreich PA, Albert NM, Allen LA, Bluemke DA, Butler J, Fonarow GC, Ikonomidis JS, Khavjou O, Konstam MA, Maddox TM, Nichol G, Pham M, Pina IL, Trogdon JG; American Heart Association Advocacy Coordinating Committee; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular Radiology and Intervention; Council on Clinical Cardiology; Council on Epidemiology and Prevention; Stroke Council. Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail. 2013 May;6(3):606-19. doi: 10.1161/HHF.0b013e318291329a. Epub 2013 Apr 24.
- McHugh MD, Ma C. Hospital nursing and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia. Med Care. 2013 Jan;51(1):52-9. doi: 10.1097/MLR.0b013e3182763284.
- Spencer MS, Kieffer EC, Sinco B, Piatt G, Palmisano G, Hawkins J, Lebron A, Espitia N, Tang T, Funnell M, Heisler M. Outcomes at 18 Months From a Community Health Worker and Peer Leader Diabetes Self-Management Program for Latino Adults. Diabetes Care. 2018 Jul;41(7):1414-1422. doi: 10.2337/dc17-0978. Epub 2018 Apr 27.
- Abdel-All M, Putica B, Praveen D, Abimbola S, Joshi R. Effectiveness of community health worker training programmes for cardiovascular disease management in low-income and middle-income countries: a systematic review. BMJ Open. 2017 Nov 3;7(11):e015529. doi: 10.1136/bmjopen-2016-015529.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
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)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
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
Studies a U.S. FDA-regulated device product
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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