The Digital Therapeutic Alliance and Human-Computer Interaction.
affective computing
digital mental health
mHealth
mobile phone
persuasive computing
positive computing
therapeutic alliance
Journal
JMIR mental health
ISSN: 2368-7959
Titre abrégé: JMIR Ment Health
Pays: Canada
ID NLM: 101658926
Informations de publication
Date de publication:
29 Dec 2020
29 Dec 2020
Historique:
received:
28
06
2020
accepted:
29
10
2020
revised:
16
08
2020
entrez:
29
12
2020
pubmed:
30
12
2020
medline:
30
12
2020
Statut:
epublish
Résumé
The therapeutic alliance (TA), the relationship that develops between a therapist and a client/patient, is a critical factor in the outcome of psychological therapy. As mental health care is increasingly adopting digital technologies and offering therapeutic interventions that may not involve human therapists, the notion of a TA in digital mental health care requires exploration. To date, there has been some incipient work on developing measures to assess the conceptualization of a digital TA for mental health apps. However, the few measures that have been proposed have more or less been derivatives of measures from psychology used to assess the TA in traditional face-to-face therapy. This conceptual paper explores one such instrument that has been proposed in the literature, the Mobile Agnew Relationship Measure, and examines it through a human-computer interaction (HCI) lens. Through this process, we show how theories from HCI can play a role in shaping or generating a more suitable, purpose-built measure of the digital therapeutic alliance (DTA), and we contribute suggestions on how HCI methods and knowledge can be used to foster the DTA in mental health apps.
Identifiants
pubmed: 33372897
pii: v7i12e21895
doi: 10.2196/21895
pmc: PMC7803473
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e21895Subventions
Organisme : Medical Research Council
ID : MR/P026664/1
Pays : United Kingdom
Informations de copyright
©Simon D'Alfonso, Reeva Lederman, Sandra Bucci, Katherine Berry. Originally published in JMIR Mental Health (http://mental.jmir.org), 29.12.2020.
Références
J Clin Psychol. 2013 Sep;69(9):994-1011
pubmed: 23630010
Behav Res Ther. 2014 Dec;63:139-46
pubmed: 25461789
PLoS One. 2013 Dec 31;8(12):e83558
pubmed: 24391787
Annu Rev Clin Psychol. 2017 May 8;13:23-47
pubmed: 28375728
Mhealth. 2018 Mar 23;4:6
pubmed: 29682510
J Med Internet Res. 2018 Apr 19;20(4):e90
pubmed: 29674307
Sci Eng Ethics. 2020 Aug;26(4):2313-2343
pubmed: 31933119
Laryngoscope Investig Otolaryngol. 2020 Jan 31;5(1):96-116
pubmed: 32128436
Eur Arch Psychiatry Clin Neurosci. 2020 Jan 1;:
pubmed: 31894391
Br J Clin Psychol. 1998 May;37(2):155-72
pubmed: 9631204
Annu Rev Psychol. 2001;52:141-66
pubmed: 11148302
Depress Anxiety. 2017 Jun;34(6):540-545
pubmed: 28494123
J Biomed Inform. 2018 Jan;77:120-132
pubmed: 29248628
Psychother Psychosom. 2014;83(1):10-28
pubmed: 24281296
JMIR Ment Health. 2019 Dec 4;6(12):e14866
pubmed: 31799937
Harv Rev Psychiatry. 2019 Jul/Aug;27(4):268-273
pubmed: 30907764
Disabil Rehabil Assist Technol. 2015 Jan;10(1):53-60
pubmed: 24112276
J Med Internet Res. 2014 Mar 04;16(3):e66
pubmed: 24594922
J Consult Psychol. 1957 Apr;21(2):95-103
pubmed: 13416422
J Med Internet Res. 2019 Jul 24;21(7):e13322
pubmed: 31342908
JMIR Ment Health. 2016 Feb 25;3(1):e10
pubmed: 26917096
Front Psychol. 2018 May 28;9:797
pubmed: 29892246
Biomed Inform Insights. 2019 Mar 05;11:1178222619829083
pubmed: 30858710
J Consult Clin Psychol. 2000 Jun;68(3):438-50
pubmed: 10883561
Internet Interv. 2017 Nov 17;11:1-10
pubmed: 30135754
J Med Internet Res. 2018 Dec 18;20(12):e12244
pubmed: 30563811
J Consult Clin Psychol. 1993 Aug;61(4):561-73
pubmed: 8370852
Am Psychol. 2000 Jan;55(1):5-14
pubmed: 11392865
Lancet Psychiatry. 2018 Oct;5(10):845-854
pubmed: 30170964
Proc Annu Hawaii Int Conf Syst Sci. 2016 Jan;2016:3401-3407
pubmed: 30034299
Br J Dev Psychol. 2009 Mar;27(Pt 1):183-96
pubmed: 19972668
Cogn Behav Ther. 2010;39(3):188-92
pubmed: 20485996