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

behavior change cardiology digital health eHealth heart failure mHealth mobile app mobile health mobile phone self-care

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
10 May 2022
Historique:
received: 18 10 2021
accepted: 20 02 2022
revised: 19 02 2022
entrez: 10 5 2022
pubmed: 11 5 2022
medline: 11 5 2022
Statut: epublish

Résumé

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

Sections du résumé

BACKGROUND BACKGROUND
Effective 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.
OBJECTIVE OBJECTIVE
This study aimed to outline the HCD, development, and evaluation process of a DHT designed to promote effective self-care in patients with HF.
METHODS METHODS
A 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.
RESULTS RESULTS
Steps 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.
CONCLUSIONS CONCLUSIONS
The 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.

Identifiants

pubmed: 35536632
pii: v6i5e34257
doi: 10.2196/34257
pmc: PMC9131139
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e34257

Informations de copyright

©William Johnston, Alison Keogh, Jane Dickson, Stephen J Leslie, Peter Megyesi, Rachelle Connolly, David Burke, Brian Caulfield. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.05.2022.

Références

JMIR Mhealth Uhealth. 2019 Mar 11;7(3):e10828
pubmed: 30855232
J Cardiovasc Nurs. 2016 May-Jun;31(3):E10-22
pubmed: 26544175
J Cardiovasc Nurs. 2015 Mar-Apr;30(2):136-44
pubmed: 24598550
Patient Educ Couns. 2017 Jul;100(7):1304-1313
pubmed: 28209470
Heart. 2000 May;83(5):596-602
pubmed: 10768918
J Med Internet Res. 2012 Feb 16;14(1):e31
pubmed: 22356799
Heart. 2014 May;100(9):716-21
pubmed: 24548920
Eur J Heart Fail. 2011 Feb;13(2):115-26
pubmed: 21148593
PLoS One. 2020 Feb 5;15(2):e0227709
pubmed: 32023264
Sensors (Basel). 2019 Jan 21;19(2):
pubmed: 30669657
Am Heart J. 1992 Oct;124(4):1017-25
pubmed: 1529875
Circ Cardiovasc Qual Outcomes. 2011 Jan 1;4(1):68-75
pubmed: 21139091
BMJ. 2008 Sep 29;337:a1655
pubmed: 18824488
JMIR Cardio. 2017 Aug 11;1(2):e3
pubmed: 31758759
J Biomed Inform. 2016 Apr;60:243-51
pubmed: 26903153
Int J Qual Health Care. 2021 Jan 12;33(Supplement_1):37-44
pubmed: 33068104
Ann Behav Med. 2013 Aug;46(1):81-95
pubmed: 23512568
Med Sci Sports Exerc. 2018 Jun;50(6):1315-1322
pubmed: 29381649
Eur J Heart Fail. 2009 Jan;11(1):99-105
pubmed: 19147463
Int J Nurs Stud. 2015 Jul;52(7):1143-5
pubmed: 25746362
Am J Prev Med. 2009 May;36(5):452-7
pubmed: 19362699
BMJ Open Sport Exerc Med. 2015 Jul 8;1(1):e000013
pubmed: 27900119
J Med Internet Res. 2014 Dec 11;16(12):e282
pubmed: 25498992
JMIR Mhealth Uhealth. 2020 Jul 21;8(7):e14778
pubmed: 32706684
Implement Sci. 2011 Apr 23;6:42
pubmed: 21513547
Transl Behav Med. 2015 Dec;5(4):470-82
pubmed: 26622919
Implement Sci. 2012 Apr 24;7:37
pubmed: 22530986
Circulation. 2009 Sep 22;120(12):1141-63
pubmed: 19720935
J Med Internet Res. 2020 Jun 15;22(6):e15449
pubmed: 32538793

Auteurs

William Johnston (W)

Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
School of Public Health, Physiotherapy & Sports Science, University College Dublin, Dublin, Ireland.

Alison Keogh (A)

Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
School of Public Health, Physiotherapy & Sports Science, University College Dublin, Dublin, Ireland.

Jane Dickson (J)

Physiotherapy Department, Beacon Hospital, Dublin, Ireland.

Stephen J Leslie (SJ)

Cardiac Unit, Raigmore Hospital, Inverness, United Kingdom.

Peter Megyesi (P)

Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.

Rachelle Connolly (R)

Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
School of Public Health, Physiotherapy & Sports Science, University College Dublin, Dublin, Ireland.

David Burke (D)

Cardiology, Beacon Hospital, Dublin, Ireland.
School of Medicine, University College Dublin, Dublin, Ireland.

Brian Caulfield (B)

Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
School of Public Health, Physiotherapy & Sports Science, University College Dublin, Dublin, Ireland.

Classifications MeSH