Supporting Self-Management of Cardiovascular Diseases Through Remote Monitoring Technologies: Metaethnography Review of Frameworks, Models, and Theories Used in Research and Development.

cardiovascular diseases development eHealth evaluation framework implementation meta-ethnography model multidisciplinary qualitative evidence synthesis remote monitoring self-management systematic review telemedicine theory

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
21 05 2020
Historique:
received: 06 09 2019
accepted: 07 02 2020
revised: 19 12 2019
entrez: 22 5 2020
pubmed: 22 5 2020
medline: 5 11 2020
Statut: epublish

Résumé

Electronic health (eHealth) is a rapidly evolving field informed by multiple scientific disciplines. Because of this, the use of different terms and concepts to explain the same phenomena and lack of standardization in reporting interventions often leaves a gap that hinders knowledge accumulation. Interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies are a cross-disciplinary area potentially affected by this gap. A review of the underlying frameworks, models, and theories that have informed projects at this crossroad could advance future research and development efforts. This research aimed to identify and compare underlying approaches that have informed interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies. The objective was to achieve an understanding of the distinct approaches by highlighting common or conflicting principles, guidelines, and methods. The metaethnography approach was used to review and synthesize researchers' reports on how they applied frameworks, models, and theories in their projects. Literature was systematically searched in 7 databases: Scopus, Web of Science, EMBASE, CINAHL, PsycINFO, Association for Computing Machinery Digital Library, and Cochrane Library. Included studies were thoroughly read and coded to extract data for the synthesis. Studies were mainly related by the key ingredients of the underlying approaches they applied. The key ingredients were finally translated across studies and synthesized into thematic clusters. Of 1224 initial results, 17 articles were included. The articles described research and development of 10 different projects. Frameworks, models, and theories (n=43) applied by the projects were identified. Key ingredients (n=293) of the included articles were mapped to the following themes of eHealth development: (1) it is a participatory process; (2) it creates new infrastructures for improving health care, health, and well-being; (3) it is intertwined with implementation; (4) it integrates theory, evidence, and participatory approaches for persuasive design; (5) it requires continuous evaluation cycles; (6) it targets behavior change; (7) it targets technology adoption; and (8) it targets health-related outcomes. The findings of this review support and exemplify the numerous possibilities in the use of frameworks, models, and theories to guide research and development of eHealth. Participatory, user-centered design, and integration with empirical evidence and theoretical modeling were widely identified principles in the literature. On the contrary, less attention has been given to the integration of implementation in the development process and supporting novel eHealth-based health care infrastructures. To better integrate theory and evidence, holistic approaches can combine patient-centered studies with consolidated knowledge from expert-based approaches. PROSPERO CRD42018104397; https://tinyurl.com/y8ajyajt. RR2-10.2196/13334.

Sections du résumé

BACKGROUND
Electronic health (eHealth) is a rapidly evolving field informed by multiple scientific disciplines. Because of this, the use of different terms and concepts to explain the same phenomena and lack of standardization in reporting interventions often leaves a gap that hinders knowledge accumulation. Interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies are a cross-disciplinary area potentially affected by this gap. A review of the underlying frameworks, models, and theories that have informed projects at this crossroad could advance future research and development efforts.
OBJECTIVE
This research aimed to identify and compare underlying approaches that have informed interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies. The objective was to achieve an understanding of the distinct approaches by highlighting common or conflicting principles, guidelines, and methods.
METHODS
The metaethnography approach was used to review and synthesize researchers' reports on how they applied frameworks, models, and theories in their projects. Literature was systematically searched in 7 databases: Scopus, Web of Science, EMBASE, CINAHL, PsycINFO, Association for Computing Machinery Digital Library, and Cochrane Library. Included studies were thoroughly read and coded to extract data for the synthesis. Studies were mainly related by the key ingredients of the underlying approaches they applied. The key ingredients were finally translated across studies and synthesized into thematic clusters.
RESULTS
Of 1224 initial results, 17 articles were included. The articles described research and development of 10 different projects. Frameworks, models, and theories (n=43) applied by the projects were identified. Key ingredients (n=293) of the included articles were mapped to the following themes of eHealth development: (1) it is a participatory process; (2) it creates new infrastructures for improving health care, health, and well-being; (3) it is intertwined with implementation; (4) it integrates theory, evidence, and participatory approaches for persuasive design; (5) it requires continuous evaluation cycles; (6) it targets behavior change; (7) it targets technology adoption; and (8) it targets health-related outcomes.
CONCLUSIONS
The findings of this review support and exemplify the numerous possibilities in the use of frameworks, models, and theories to guide research and development of eHealth. Participatory, user-centered design, and integration with empirical evidence and theoretical modeling were widely identified principles in the literature. On the contrary, less attention has been given to the integration of implementation in the development process and supporting novel eHealth-based health care infrastructures. To better integrate theory and evidence, holistic approaches can combine patient-centered studies with consolidated knowledge from expert-based approaches.
TRIAL REGISTRATION
PROSPERO CRD42018104397; https://tinyurl.com/y8ajyajt.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR2-10.2196/13334.

Identifiants

pubmed: 32436852
pii: v22i5e16157
doi: 10.2196/16157
pmc: PMC7273239
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e16157

Informations de copyright

©Roberto Rafael Cruz-Martínez, Jobke Wentzel, Rikke Aune Asbjørnsen, Peter Daniel Noort, Johan Magnus van Niekerk, Robbert Sanderman, Julia EWC van Gemert-Pijnen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.05.2020.

Références

J Health Commun. 2012;17 Suppl 1:11-21
pubmed: 22548594
Health Aff (Millwood). 2013 Feb;32(2):223-31
pubmed: 23381514
BMJ. 2008 Sep 29;337:a1655
pubmed: 18824488
J Med Internet Res. 2011 Dec 05;13(4):e111
pubmed: 22155738
J Am Heart Assoc. 2017 Aug 31;6(9):
pubmed: 28860232
Psychol Bull. 1982 Jul;92(1):111-35
pubmed: 7134324
Psicol Reflex Crit. 2017 Oct 18;30(1):19
pubmed: 32026109
Psychiatr Rehabil J. 2017 Sep;40(3):325-335
pubmed: 28182469
J Diabetes Sci Technol. 2017 Sep;11(5):1015-1027
pubmed: 28560898
J Am Coll Cardiol. 2017 Jul 4;70(1):1-25
pubmed: 28527533
J Health Serv Res Policy. 2002 Oct;7(4):209-15
pubmed: 12425780
Prog Cardiovasc Dis. 2016 May-Jun;58(6):605-12
pubmed: 26902519
J Clin Epidemiol. 2018 May;97:49-58
pubmed: 29247700
BMC Med Res Methodol. 2012 Nov 27;12:181
pubmed: 23185978
PLoS Med. 2009 Jul 21;6(7):e1000097
pubmed: 19621072
Health Policy Plan. 2014 Dec;29 Suppl 3:iii70-8
pubmed: 25435538
Ergonomics. 2013;56(11):1669-86
pubmed: 24088063
Digit Health. 2016 Oct 10;2:2055207616671461
pubmed: 29942568
Psychooncology. 2019 Mar;28(3):447-458
pubmed: 30644150
Transl Behav Med. 2019 Jan 1;9(1):76-98
pubmed: 29554380
BMC Fam Pract. 2007 Jul 24;8:42
pubmed: 17650326
Health Technol Assess. 2011 Dec;15(43):1-164
pubmed: 22176717
Patient Educ Couns. 2010 Dec;81 Suppl:S77-86
pubmed: 20843621
Int J Nurs Stud. 2013 May;50(5):587-92
pubmed: 23159157
BMC Med Res Methodol. 2008 Apr 16;8:21
pubmed: 18416812
Health Educ Behav. 2004 Apr;31(2):143-64
pubmed: 15090118
Res Synth Methods. 2019 Dec;10(4):539-545
pubmed: 31272125
JMIR Mhealth Uhealth. 2016 Jun 09;4(2):e29
pubmed: 27282195
J Med Internet Res. 2017 May 17;19(5):e172
pubmed: 28526671
Patient Educ Couns. 2002 Oct -Nov;48(2):177-87
pubmed: 12401421
J Med Internet Res. 2018 May 01;20(5):e10235
pubmed: 29716883
BMC Med Inform Decis Mak. 2017 Jan 9;17(1):5
pubmed: 28069041
J Med Internet Res. 2017 Jun 29;19(6):e232
pubmed: 28663162
BMJ. 2014 Mar 07;348:g1687
pubmed: 24609605
BMJ. 2007 Mar 3;334(7591):455-9
pubmed: 17332585
BMC Med Inform Decis Mak. 2014 Nov 25;14:109
pubmed: 25421307
Patient Educ Couns. 2017 Apr;100(4):616-635
pubmed: 28029572
J Med Internet Res. 2018 May 08;20(5):e163
pubmed: 29739740
Implement Sci. 2015 Nov 13;10:159
pubmed: 26566623
BMC Cardiovasc Disord. 2017 Jun 14;17(1):156
pubmed: 28615004
JMIR Res Protoc. 2019 Jul 16;8(7):e13334
pubmed: 31313659
J Behav Med. 2016 Dec;39(6):935-946
pubmed: 27515801
JMIR Mhealth Uhealth. 2017 May 23;5(5):e69
pubmed: 28536089
JMIR Cardio. 2018 Feb 09;2(1):e3
pubmed: 31758783
Eur Heart J Qual Care Clin Outcomes. 2015 Nov 1;1(2):66-71
pubmed: 29474596
Appl Nurs Res. 2016 Nov;32:156-163
pubmed: 27969021
Int J Med Inform. 2015 Oct;84(10):743-53
pubmed: 26037921
BMC Med Inform Decis Mak. 2017 Jun 26;17(1):89
pubmed: 28651588
Int J Hum Comput Interact. 2017;33(4):298-312
pubmed: 30429638
BMC Med. 2010 Oct 20;8:63
pubmed: 20961442
J Med Internet Res. 2015 Jan 30;17(1):e30
pubmed: 25639757
Implement Sci. 2017 Feb 23;12(1):25
pubmed: 28231840
Am Psychol. 2000 Jan;55(1):68-78
pubmed: 11392867
J Am Med Inform Assoc. 2015 Jan;22(1):2-10
pubmed: 25125685
Appl Nurs Res. 2018 Feb;39:26-33
pubmed: 29422170
BMC Health Serv Res. 2006 Jul 07;6:86
pubmed: 16827928
Pilot Feasibility Stud. 2015 Oct 26;1:37
pubmed: 27965815
JMIR Form Res. 2018 Apr 27;2(1):e8
pubmed: 30684426
Implement Sci. 2011 Apr 23;6:42
pubmed: 21513547
Soc Sci Med. 2009 Jan;68(1):154-68
pubmed: 19013702
J Med Internet Res. 2017 Nov 01;19(11):e367
pubmed: 29092808
BMJ Open. 2016 Nov 7;6(11):e012684
pubmed: 27821598
J Clin Monit Comput. 2007 Oct;21(5):323-30
pubmed: 17701381
J Med Internet Res. 2007 May 27;9(2):e15
pubmed: 17537718
Ann Behav Med. 2005 Aug;30(1):65-73
pubmed: 16097907
J Med Internet Res. 2011 Dec 31;13(4):e126
pubmed: 22209829
Comput Inform Nurs. 2018 Feb;36(2):90-97
pubmed: 28901967
BMC Med Res Methodol. 2014 Jun 21;14:80
pubmed: 24951054
BMC Med Res Methodol. 2019 Feb 18;19(1):35
pubmed: 30777031

Auteurs

Roberto Rafael Cruz-Martínez (RR)

Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.

Jobke Wentzel (J)

Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.
Saxion University of Applied Sciences, Deventer, Netherlands.

Rikke Aune Asbjørnsen (RA)

Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.
Research and Innovation Department, Vestfold Hospital Trust, Tønsberg, Norway.

Peter Daniel Noort (PD)

Embedded Information Services, Library, ICT Services & Archive, University of Twente, Enschede, Netherlands.

Johan Magnus van Niekerk (JM)

Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.

Robbert Sanderman (R)

Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.
GZW-Health Psychology-GZW-General, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.

Julia Ewc van Gemert-Pijnen (JE)

Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH