Dropout From an Internet-Delivered Cognitive Behavioral Therapy Intervention for Adults With Depression and Anxiety: Qualitative Study.

anxiety depression dropout iCBT internet interventions

Journal

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

Informations de publication

Date de publication:
12 Nov 2021
Historique:
received: 03 12 2020
accepted: 01 08 2021
revised: 16 03 2021
entrez: 12 11 2021
pubmed: 13 11 2021
medline: 13 11 2021
Statut: epublish

Résumé

Treatment dropout continues to be reported from internet-delivered cognitive behavioral therapy (iCBT) interventions, and lower completion rates are generally associated with lower treatment effect sizes. However, evidence is emerging to suggest that completion of a predefined number of modules is not always necessary for clinical benefit or consideration of the needs of each individual patient. The aim of this study is to perform a qualitative analysis of patients' experiences with an iCBT intervention in a routine care setting to achieve a deeper insight into the phenomenon of dropout. A total of 15 purposively sampled participants (female: 8/15, 53%) from a larger parent randomized controlled trial were interviewed via telephone using a semistructured interview schedule that was developed based on the existing literature and research on dropout in iCBT. Data were analyzed using a descriptive-interpretive approach. The experience of treatment leading to dropout can be understood in terms of 10 domains: relationship to technology, motivation to start, background knowledge and attitudes toward iCBT, perceived change in motivation, usage of the program, changes due to the intervention, engagement with content, experience interacting with the supporter, experience of web-based communication, and termination of the supported period. Patients who drop out of treatment can be distinguished in terms of their change in motivation: those who felt ready to leave treatment early and those who had negative reasons for dropping out. These 2 groups of participants have different treatment experiences, revealing the potential attributes and nonattributes of dropout. The reported between-group differences should be examined further to consider those attributes that are strongly descriptive of the experience and regarded less important than those that have become loosely affiliated.

Sections du résumé

BACKGROUND BACKGROUND
Treatment dropout continues to be reported from internet-delivered cognitive behavioral therapy (iCBT) interventions, and lower completion rates are generally associated with lower treatment effect sizes. However, evidence is emerging to suggest that completion of a predefined number of modules is not always necessary for clinical benefit or consideration of the needs of each individual patient.
OBJECTIVE OBJECTIVE
The aim of this study is to perform a qualitative analysis of patients' experiences with an iCBT intervention in a routine care setting to achieve a deeper insight into the phenomenon of dropout.
METHODS METHODS
A total of 15 purposively sampled participants (female: 8/15, 53%) from a larger parent randomized controlled trial were interviewed via telephone using a semistructured interview schedule that was developed based on the existing literature and research on dropout in iCBT. Data were analyzed using a descriptive-interpretive approach.
RESULTS RESULTS
The experience of treatment leading to dropout can be understood in terms of 10 domains: relationship to technology, motivation to start, background knowledge and attitudes toward iCBT, perceived change in motivation, usage of the program, changes due to the intervention, engagement with content, experience interacting with the supporter, experience of web-based communication, and termination of the supported period.
CONCLUSIONS CONCLUSIONS
Patients who drop out of treatment can be distinguished in terms of their change in motivation: those who felt ready to leave treatment early and those who had negative reasons for dropping out. These 2 groups of participants have different treatment experiences, revealing the potential attributes and nonattributes of dropout. The reported between-group differences should be examined further to consider those attributes that are strongly descriptive of the experience and regarded less important than those that have become loosely affiliated.

Identifiants

pubmed: 34766909
pii: v5i11e26221
doi: 10.2196/26221
pmc: PMC8663602
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e26221

Informations de copyright

©Kate Lawler, Caroline Earley, Ladislav Timulak, Angel Enrique, Derek Richards. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.11.2021.

Références

J Clin Psychol. 1990 Nov;46(6):891-5
pubmed: 2286687
J Affect Disord. 2015 Nov 15;187:136-41
pubmed: 26331687
J Med Internet Res. 2009 Apr 24;11(2):e13
pubmed: 19403466
J Med Internet Res. 2006 Jun 23;8(2):e10
pubmed: 16867965
Trials. 2015 Oct 31;16:488
pubmed: 26519046
JMIR Ment Health. 2016 Jun 14;3(2):e25
pubmed: 27302200
J Gen Psychol. 2013 Oct-Dec;140(4):282-93
pubmed: 24837821
BMC Public Health. 2013 Oct 28;13:1017
pubmed: 24165325
Psychother Res. 2017 Sep;27(5):511-524
pubmed: 26732852
Int J Qual Health Care. 2007 Dec;19(6):349-57
pubmed: 17872937
BMC Psychiatry. 2017 Apr 20;17(1):145
pubmed: 28424068
Internet Interv. 2017 Sep 22;10:29-38
pubmed: 30135750
Support Care Cancer. 2017 Aug;25(8):2539-2548
pubmed: 28299458
J Clin Psychiatry. 2019 Mar 19;80(2):
pubmed: 30900849
Br J Clin Psychol. 2010 Nov;49(Pt 4):455-71
pubmed: 19799804
J Clin Psychiatry. 1998;59 Suppl 20:22-33;quiz 34-57
pubmed: 9881538
Annu Rev Clin Psychol. 2007;3:1-27
pubmed: 17716046
J Anxiety Disord. 2018 Apr;55:70-78
pubmed: 29422409
Clin Psychol Rev. 2012 Jun;32(4):329-42
pubmed: 22466510
J Clin Psychol. 2010 Apr;66(4):394-409
pubmed: 20127795
Neurosci Biobehav Rev. 2004 May;28(3):353-63
pubmed: 15225977
Scand J Prim Health Care. 2017 Mar;35(1):46-53
pubmed: 28277055
J Med Internet Res. 2017 May 30;19(5):e187
pubmed: 28559223
Psychotherapy (Chic). 2008 Jun 1;45(2):247-267
pubmed: 19838318
Int Rev Psychiatry. 2011 Aug;23(4):318-27
pubmed: 22026487
Br J Psychiatry. 2004 Jul;185:46-54
pubmed: 15231555
J Med Internet Res. 2005 Mar 31;7(1):e11
pubmed: 15829473
Behav Res Ther. 2015 Dec;75:20-31
pubmed: 26523885
Psychol Med. 2015 Oct;45(13):2717-26
pubmed: 25881626
Cogn Behav Ther. 2009;38(4):196-205
pubmed: 20183695
Eat Disord. 2010 Mar-Apr;18(2):140-7
pubmed: 20390617
Am J Psychiatry. 1990 Jan;147(1):51-6
pubmed: 2403473
Psychol Med. 2009 May;39(5):705-12
pubmed: 18812006
Internet Interv. 2016 Jul 18;5:44-50
pubmed: 30135806
NPJ Digit Med. 2020 Jun 15;3:85
pubmed: 32566763

Auteurs

Kate Lawler (K)

E-Mental Health Research Group, School of Psychology, Trinity College Dublin, Dublin, Ireland.
Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland.

Caroline Earley (C)

E-Mental Health Research Group, School of Psychology, Trinity College Dublin, Dublin, Ireland.
Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland.

Ladislav Timulak (L)

E-Mental Health Research Group, School of Psychology, Trinity College Dublin, Dublin, Ireland.

Angel Enrique (A)

E-Mental Health Research Group, School of Psychology, Trinity College Dublin, Dublin, Ireland.
Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland.

Derek Richards (D)

E-Mental Health Research Group, School of Psychology, Trinity College Dublin, Dublin, Ireland.
Clinical Research and Innovation, SilverCloud Health, Dublin, Ireland.

Classifications MeSH