Evidence map›Paper›PMID 42078825›Full record

ArticleDigital health

User design and testing of SmartHeart: A mobile app for heart failure self-care.

Reza Daryabeygi-Khotbehsara, Paul Jansons, Yuxin Zhang, Rebecca Amy Nourse, Jonathan C Rawstorn, Ann Tresa Sebastian, Dominika Kwasnicka, Teketo Kassaw Tegegne, Tilman Dingler, Vassilis Kostakos and 9 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Reza Daryabeygi-KhotbehsaraInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.ORCID https://orcid.org/0000-0003-4064-978X
Paul JansonsInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.ORCID https://orcid.org/0000-0002-8766-0516
Yuxin ZhangInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.ORCID https://orcid.org/0000-0002-7636-4084
Rebecca Amy NourseNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
Jonathan C RawstornInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.
Ann Tresa SebastianInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.
Dominika KwasnickaMelbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia.
Teketo Kassaw TegegneInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.
Tilman DinglerFaculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Vassilis KostakosSchool of Computing and Information Systems, University of Melbourne, Melbourne, VIC, Australia.
Jo-Anne Elizabeth Manski-NankervisLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
John J AthertonFaculty of Medicine, Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, QLD, Australia.
Brian OldenburgBaker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Melbourne, VIC, Australia.
Rajesh VasaInstitute for Applied Artificial Intelligence, Deakin University, Burwood, VIC, Australia.
Gavin AbbottInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.ORCID https://orcid.org/0000-0003-4014-0705
Andrea DriscollSchool of Nursing and Midwifery, Faculty of Health, Deakin University, Geelong, VIC, Australia.
Paul ScuffhamCentre for Applied Health Economics, School of Medicine & Dentistry, Griffith University, Gold Coast, QLD, Australia.ORCID https://orcid.org/0000-0001-5931-642X
Anthony MaederFlinders Digital Health Research Centre, Flinders University, Adelaide, SA, Australia.
Ralph MaddisonInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.ORCID https://orcid.org/0000-0001-8564-5518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Heart failure requires complex and daily self-care that many patients struggle with for a range of reasons including limited health literacy, cognitive impairment, comorbidities, and emotional distress. This study describes the user-centred design and development of a mobile app (SmartHeart) to support comprehensive self-monitoring and improve self-care engagement for people with heart failure. Methods: Building on previous co-design research and expert panel feedback, we developed an initial Figma prototype following user-centred design principles. Two online sessions were conducted with adults living with heart failure (n=7), including a focus group session and a follow-up individual feedback session. The same participants took part in both sessions to provide feedback on the functionality, aesthetics, navigation, and content. Data were analysed deductively based on heuristic principles of user interface design, with findings informing the iterative development of the SmartHeart mobile app. The functional app was tested in-home by two participants over two weeks to evaluate real-world usability and gather contextual feedback to inform further refinement. Results: The SmartHeart prototype was developed through expert workshops and user feedback. Participants emphasised simplicity, leading to a streamlined design with clear navigation, adaptable graphics, and larger fonts. The app's health tracking features were iteratively improved. User-driven modifications included personalised threshold alerts, simplified symptom reporting, and integrated medication reminders. Participants reported high satisfaction with the prototype interface and health monitoring capabilities; however, formative testing identified reliability issues that are being addressed prior to pilot evaluation. Findings primarily inform design refinements before evaluating clinical effectiveness. Conclusion: The SmartHeart app was refined through user-centred design process involving direct feedback from individuals with heart failure, resulting in a self-care tool with user-friendly features, to be further evaluated in future research. These user-driven enhancements support self-care engagement and highlight the app's potential for real-world use and broader clinical integration.

Indexed as

heart failuremobile appself-careuser-design

Identifiers

PMID42078825
PMCPMC13129274

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.