Evidence map›Paper›PMID 35536632›Full record

ArticleJMIR formative research2022

Human-Centered Design of a Digital Health Tool to Promote Effective Self-care in Patients With Heart Failure: Mixed Methods Study.

William Johnston, Alison Keogh, Jane Dickson, Stephen J Leslie, Peter Megyesi, Rachelle Connolly, David Burke, Brian Caulfield

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

8 authors at 2 institutions in 3 countries.

William JohnstonInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0003-0525-6577
Alison KeoghInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0001-5917-6308
Jane DicksonPhysiotherapy Department, Beacon Hospital, Dublin, Ireland.ORCID https://orcid.org/0000-0002-3499-5048
Stephen J LeslieCardiac Unit, Raigmore Hospital, Inverness, United Kingdom.ORCID https://orcid.org/0000-0002-1403-4733
Peter MegyesiInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0002-9165-0070
Rachelle ConnollyInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0001-6259-6354
David BurkeCardiology, Beacon Hospital, Dublin, Ireland.ORCID https://orcid.org/0000-0001-9070-3663
Brian CaulfieldInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0003-0290-9587
University College Dublin · IERaigmore Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective self-care is an important factor in the successful management of patients with heart failure (HF). Despite the importance of self-care, most patients with HF are not adequately taught the wide range of skills required to become proficient in self-care. Digital health technology (DHT) may provide a novel solution to support patients at home in effective self-care, with the view to enhancing the quality of life and ultimately improving patient outcomes. However, many of the solutions developed to date have failed to consider users' perspectives at the point of design, resulting in poor effectiveness. Leveraging a human-centered design (HCD) approach to the development of DHTs may lead to the successful promotion of self-care behaviors in patients with HF.

objectiveThis study aimed to outline the HCD, development, and evaluation process of a DHT designed to promote effective self-care in patients with HF.

methodsA design thinking approach within the HCD framework was undertaken, as described in the International Organization for Standardization 9241-210:2019 regulations, using a 5-step process: empathize, ideate, design, develop, and test. Patients with HF were involved throughout the design and evaluation of the system. The designed system was grounded in behavior change theory using the Theoretical Domains Framework and included behavior change techniques. Mixed methods were used to evaluate the DHT during the testing phase.

resultsSteps 1 to 3 of the process resulted in a set of evidence- and user-informed design requirements that were carried forward into the iterative development of a version 1 system. A cross-platform (iOS and Android) mobile app integrated with Fitbit activity trackers and smart scales was developed. A 2-week user testing phase highlighted the ease of use of the system, with patients demonstrating excellent adherence. Qualitative analysis of semistructured interviews identified the early potential for the system to positively influence self-care. Specifically, users perceived that the system increased their confidence and motivation to engage in key self-care behaviors, provided them with skills and knowledge that made them more aware of the importance of self-care behaviors, and might facilitate timely help seeking.

conclusionsThe use of an HCD methodology in this research has resulted in the development of a DHT that may engage patients with HF and potentially affect their self-care behaviors. This comprehensive work lays the groundwork for further development and evaluation of this solution before its implementation in health care systems. A detailed description of the HCD process used in this research will help guide the development and evaluation of future DHTs across a range of disease use cases.

Indexed as

behavior changecardiologydigital healtheHealthheart failuremHealthmobile appmobile healthmobile phoneself-care

Identifiers

PMID35536632
PMCPMC9131139
OpenAlexW4213101027

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.