Factors associated with treatment uptake, completion, and subsequent symptom improvement in a national digital mental health service.
Assessment
Digital mental health service
Internet-delivered cognitive behavioural treatment (iCBT)
Outcomes
Treatment burden
Treatment engagement
Journal
Internet interventions
ISSN: 2214-7829
Titre abrégé: Internet Interv
Pays: Netherlands
ID NLM: 101631612
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
08
10
2021
revised:
04
02
2022
accepted:
09
02
2022
entrez:
4
3
2022
pubmed:
5
3
2022
medline:
5
3
2022
Statut:
epublish
Résumé
Digital mental health services (DMHS) have proven effectiveness and play an important role within the broader mental health system by reducing barriers to evidence-based care. However, improved understanding of the factors associated with successful treatment uptake, treatment completion and positive clinical outcomes will facilitate efforts to maximise outcomes. Previous studies have demonstrated that patient age is positively associated, and initial symptom severity negatively associated with treatment uptake and treatment completion rates in both DMHS and other mental health services. The current study sought to extend these findings by examining the effect of other patient characteristics, in particular, self-reported psychosocial difficulties, using data from a large-scale national DMHS. Using a prospective uncontrolled observational cohort study design, we collected self-reported demographic, psychosocial and clinical data from 15,882 patients who accessed the MindSpot Clinic, Australia, between 1 January and 31 December 2019. Using a series of univariate regression models and multivariate classification algorithms we found that older age, higher educational attainment, and being in a relationship were all positively associated with uptake, completion and significant symptom improvement, while higher initial symptom severity was negatively associated with those outcomes. In addition, self-reported psychosocial difficulties had a significant negative impact on uptake, completion, and symptom improvement. Consistent with previous literature, the presence of these characteristics in isolation or in combination have a significant impact on treatment uptake, completion, and symptomatic improvement. Individual and multiple psychosocial difficulties are associated with reduced capacity to participate in treatment and hence an increased treatment burden. Identifying patients with lower capacity to complete treatment, modifications to treatments and the provision of supports to reduce treatment burden may promote greater engagement and completion of treatments offered by digital mental health services.
Identifiants
pubmed: 35242587
doi: 10.1016/j.invent.2022.100506
pii: S2214-7829(22)00013-6
pmc: PMC8857488
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100506Informations de copyright
Crown Copyright © 2022 Published by Elsevier B.V.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Arch Intern Med. 2006 May 22;166(10):1092-7
pubmed: 16717171
J Anxiety Disord. 2016 Aug;42:30-44
pubmed: 27261562
Psychol Med. 2014 Apr;44(6):1303-17
pubmed: 23931656
Aust Health Rev. 2014 Feb;38(1):80-5
pubmed: 24308925
Lancet. 2017 Sep 16;390(10100):1211-1259
pubmed: 28919117
PLoS One. 2012;7(7):e40089
pubmed: 22792217
Am J Epidemiol. 2019 Dec 31;188(12):2222-2239
pubmed: 31509183
World Psychiatry. 2019 Feb;18(1):20-28
pubmed: 30600624
Internet Interv. 2018 Jul 26;13:108-115
pubmed: 30206525
J Ment Health. 2020 Jul 25;:1-10
pubmed: 32715841
J Med Internet Res. 2021 Mar 12;23(3):e24905
pubmed: 33709943
Psychother Res. 2021 Jan;31(1):92-116
pubmed: 32862761
Curr Opin Psychol. 2015 Oct 1;5:31-36
pubmed: 26086031
Aust N Z J Psychiatry. 2017 Dec;51(12):1227-1239
pubmed: 27733709
Internet Interv. 2019 May 03;17:100247
pubmed: 31249791
Australas Psychiatry. 2019 Aug;27(4):352-357
pubmed: 30058351
J Anxiety Disord. 2018 Mar;54:24-32
pubmed: 29421369
Clin Psychol Rev. 2012 Jun;32(4):329-42
pubmed: 22466510
Lancet. 2016 Jun 11;387(10036):2383-401
pubmed: 27174305
Evid Based Ment Health. 2016 May;19(2):43-5
pubmed: 26993366
Cognit Ther Res. 2019 Jun;43(3):620-630
pubmed: 32879540
J Consult Clin Psychol. 2012 Aug;80(4):547-59
pubmed: 22506792
Ann Intern Med. 2007 Oct 16;147(8):573-7
pubmed: 17938396
Psychol Med. 2011 Aug;41(8):1751-61
pubmed: 21134315
World Psychiatry. 2014 Feb;13(1):4-11
pubmed: 24497236
Epidemiol Psychiatr Sci. 2020 Feb 24;29:e104
pubmed: 32089149
Psychol Med. 2003 Feb;33(2):217-27
pubmed: 12622301
BMC Med. 2015 May 14;13:115
pubmed: 25971838
Lancet. 2007 Sep 8;370(9590):841-50
pubmed: 17826169
Aust N Z J Psychiatry. 2018 Jul;52(7):668-679
pubmed: 29064283
BMJ. 2014 Nov 10;349:g6680
pubmed: 25385748
Internet Interv. 2019 Aug 28;18:100274
pubmed: 31890623
J Med Internet Res. 2020 Aug 31;22(8):e18100
pubmed: 32865497
BJPsych Open. 2016 Sep 14;2(5):307-313
pubmed: 27703794
J Clin Med. 2019 Aug 17;8(8):
pubmed: 31426460
Psychol Med. 2009 May;39(5):705-12
pubmed: 18812006
Lancet. 2007 Apr 14;369(9569):1302-1313
pubmed: 17434406
Cogn Behav Ther. 2018 Jan;47(1):1-18
pubmed: 29215315
Can J Psychiatry. 2021 Apr 12;:7067437211006873
pubmed: 33840264
Lancet Digit Health. 2020 Nov;2(11):e582-e593
pubmed: 33103097
J Med Internet Res. 2011 Nov 04;13(4):e89
pubmed: 22057287
Internet Interv. 2021 Feb 27;24:100378
pubmed: 33732628
J Gen Intern Med. 2001 Sep;16(9):606-13
pubmed: 11556941
Ann Transl Med. 2018 Apr;6(7):122
pubmed: 29955582
Psychol Med. 2002 Aug;32(6):959-76
pubmed: 12214795