Evidence map›Paper›PMID 39874581›Full record

ArticleJMIR research protocols2025

Digital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability.

Ralph Maddison, Rebecca Nourse, Reza Daryabeygikhotbehsara, Teketo Kassaw Tegegne, Paul Jansons, Jonathan Charles Rawstorn, John Atherton, Andrea Driscoll, Brian Oldenburg, Rajesh Vasa and 10 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Ralph MaddisonSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0001-8564-5518
Rebecca NourseSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0002-6410-7064
Reza DaryabeygikhotbehsaraSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0003-4064-978X
Teketo Kassaw TegegneSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0002-9137-3632
Paul JansonsSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0002-8766-0516
Jonathan Charles RawstornSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0002-9755-7993
John AthertonFaculty of Medicine, Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Australia.ORCID 0000-0003-2271-578X
Andrea DriscollSchool of Nursing and Midwifery, Faculty of Health, Deakin University, Geelong, Australia.ORCID 0000-0002-6837-0249
Brian OldenburgBaker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, Australia.ORCID 0000-0002-7712-5413
Rajesh VasaInstitute for Applied Artificial Intelligence, Deakin University, Burwood, Australia.ORCID 0000-0003-4805-1467
Vassilis KostakosSchool of Computing and Information Systems, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-2804-6038
Tilman DinglerFaculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.ORCID 0000-0001-6180-7033
Gavin AbbottSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0003-4014-0705
Paul ScuffhamCentre for Applied Health Economics, School of Medicine & Dentistry, Griffith University, Gold Coast, Australia.ORCID 0000-0001-5931-642X
Jo-Anne Elizabeth Manski-NankervisLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-2153-3482
Dominika KwasnickaMelbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-5961-837X
Finn KensingDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1392-5999
Sheikh Mohammed Shariful IslamSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0001-7926-9368
Anthony MaederFlinders Digital Health Research Centre, Flinders University, Adelaide, Australia.ORCID 0000-0002-7398-2581
Yuxin ZhangSchool of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.ORCID 0000-0002-7636-4084

Funding

National Health and Medical and Research Council 2018698
6 · The paper itself

Abstract

backgroundHeart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community. However, many digital solutions have not involved consumers and health care professionals in their design, leading to poor adoption. The SmartHeart project aimed to codevelop a smart health ecosystem to support the early detection of HF deterioration and encourage self-care, potentially preventing hospitalizations.

objectiveThis study aims to provide an overview of the SmartHeart project by describing our approach to designing the SmartHeart system, outlining its features, and describing the planned pilot study to determine the feasibility of the system.

methodsWe used the Integrate, Design, Assess, and Share (IDEAS) framework to guide the development of the SmartHeart system, involving users (people with HF and their caregivers) and stakeholders (health care providers involved in the management of HF) in its design. SmartHeart is a complete remote heart health monitoring and automated feedback delivery system. It includes 2 user interfaces for patients: an Amazon Alexa conversational agent and a smartphone app. The system collects physiological, symptom, and behavioral data through wireless sensors and self-reports from users. These data are processed and analyzed to provide personalized health insights, self-care support, and alerts in case of health deterioration. The system also includes a web-based user interface for health care professionals, allowing them to access data, send messages to users, and receive notifications about potential health deterioration. A single-arm, multicenter pilot trial (N=20) is planned to determine the feasibility and acceptability of SmartHeart before evaluation through a randomized controlled trial. The primary outcome will be a description of the study's feasibility (recruitment, attrition, engagement, and changes in self-care).

resultsThe SmartHeart study started in January 2021 on procurement of funding. Recruitment for the pilot trial started in August 2024 and will be completed by March 2025. We have currently enrolled 12 participants. Follow-up of all participants will be completed by the end of May 2025.

conclusionsWe have co-designed and developed a complete remote heart health monitoring and automated feedback delivery system for the early detection of HF deterioration and prevention of HF-related hospitalizations. The next step is a pilot study, which will provide valuable information on feasibility and preliminary effects to inform a larger evaluation trial. SmartHeart has the potential to augment existing health services and help people with HF stay well while living in the community. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/62964.

Indexed as

Heart FailureSelf CareFeasibility StudiesHumansMonitoring, PhysiologicPatient Acceptance of Health CarePilot ProjectsTelemedicinebehavior changechronic conditionsdigital healthhealthmethodological considerationssmart hometechnologywearables

Identifiers

PMID39874581
PMCPMC11815296

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.