Implementing a Digitally-enabled Community Health Worker Intervention for Patients With Heart Failure
NCT ID: NCT05130008
Last Updated: 2025-04-20
Study Results
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View full resultsBasic Information
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COMPLETED
NA
56 participants
INTERVENTIONAL
2022-09-23
2024-08-31
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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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.
Digitally-enabled CHW Care
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.
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.
Usual CHW Care
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.
Interventions
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Digitally-enabled CHW Care
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.
Usual CHW Care
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.
Eligibility Criteria
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Inclusion Criteria
* 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
* Lack of health insurance
* Invoked health proxy or guardianship status
* History of smart phone use
18 Years
99 Years
ALL
Yes
Sponsors
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National Heart, Lung, and Blood Institute (NHLBI)
NIH
Massachusetts General Hospital
OTHER
Responsible Party
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Jocelyn Carter
Physician- Scientist
Principal Investigators
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Jocelyn Carter, MD
Role: PRINCIPAL_INVESTIGATOR
Massachusetts General Hospital
Locations
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Massachusetts General Hospital
Boston, Massachusetts, United States
Countries
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References
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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.
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.
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.
Carter JAC, Swack N, Isselbacher E, Donelan K, Thorndike A. Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Pilot Randomized Controlled Trial. JMIR Cardio. 2024 Aug 8;8:e59948. doi: 10.2196/59948.
Carter J, Swack N, Isselbacher E, Donelan K, Thorndike A. Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2024 Feb 6;13:e55687. doi: 10.2196/55687.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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2018P002014
Identifier Type: -
Identifier Source: org_study_id
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