Opportunities for the Implementation of a Digital Mental Health Assessment Tool in the United Kingdom: Exploratory Survey Study.

assessment development digital mental health implementation mental health mobile phone provision support

Journal

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

Informations de publication

Date de publication:
07 Aug 2023
Historique:
received: 07 10 2022
accepted: 10 07 2023
revised: 02 03 2023
medline: 7 8 2023
pubmed: 7 8 2023
entrez: 7 8 2023
Statut: epublish

Résumé

Every year, one-fourth of the people in the United Kingdom experience diagnosable mental health concerns, yet only a proportion receive a timely diagnosis and treatment. With novel developments in digital technologies, the potential to increase access to mental health assessments and triage is promising. This study aimed to investigate the current state of mental health provision in the United Kingdom and understand the utility of, and interest in, digital mental health technologies. A web-based survey was generated using Qualtrics XM. Participants were recruited via social media. Data were explored using descriptive statistics. The majority of the respondents (555/618, 89.8%) had discussed their mental health with a general practitioner. More than three-fourths (503/618, 81.4%) of the respondents had been diagnosed with a mental health disorder, with the most common diagnoses being depression and generalized anxiety disorder. Diagnostic waiting times from first contact with a health care professional varied by diagnosis. Neurodevelopmental disorders (30/56, 54%), bipolar disorder (25/52, 48%), and personality disorders (48/101, 47.5%) had the longest waiting times, with almost half (103/209, 49.3%) of these diagnoses taking >6 months. Participants stated that waiting times resulted in symptoms worsening (262/353, 74.2%), lower quality of life (166/353, 47%), and the necessity to seek emergency care (109/353, 30.9%). Of the 618 participants, 386 (62.5%) stated that they felt that their mental health symptoms were not always taken seriously by their health care provider and 297 (48.1%) were not given any psychoeducational information. The majority of the respondents (416/595, 77.5%) did not have the chance to discuss mental health support and treatment options. Critically, 16.1% (96/595) did not find any treatment or support provided at all helpful, with 63% (48/76) having discontinued treatment with no effective alternatives. Furthermore, 88.3% (545/617) of the respondents) had sought help on the web regarding mental health symptoms, and 44.4% (272/612) had used a web application or smartphone app for their mental health. Psychoeducation (364/596, 61.1%), referral to a health care professional (332/596, 55.7%), and symptom monitoring (314/596, 52.7%) were the most desired app features. Only 6.8% (40/590) of the participants said that they would not be interested in using a mental health assessment app. Respondents were the most interested to receive an overall severity score of their mental health symptoms (441/546, 80.8%) and an indication of whether they should seek mental health support (454/546, 83.2%). Key gaps in current UK mental health care provision are highlighted. Assessment and treatment waiting times together with a lack of information regarding symptoms and treatment options translated into poor care experiences. The participants' responses provide proof-of-concept support for the development of a digital mental health assessment app and valuable recommendations regarding desirable app features.

Sections du résumé

BACKGROUND BACKGROUND
Every year, one-fourth of the people in the United Kingdom experience diagnosable mental health concerns, yet only a proportion receive a timely diagnosis and treatment. With novel developments in digital technologies, the potential to increase access to mental health assessments and triage is promising.
OBJECTIVE OBJECTIVE
This study aimed to investigate the current state of mental health provision in the United Kingdom and understand the utility of, and interest in, digital mental health technologies.
METHODS METHODS
A web-based survey was generated using Qualtrics XM. Participants were recruited via social media. Data were explored using descriptive statistics.
RESULTS RESULTS
The majority of the respondents (555/618, 89.8%) had discussed their mental health with a general practitioner. More than three-fourths (503/618, 81.4%) of the respondents had been diagnosed with a mental health disorder, with the most common diagnoses being depression and generalized anxiety disorder. Diagnostic waiting times from first contact with a health care professional varied by diagnosis. Neurodevelopmental disorders (30/56, 54%), bipolar disorder (25/52, 48%), and personality disorders (48/101, 47.5%) had the longest waiting times, with almost half (103/209, 49.3%) of these diagnoses taking >6 months. Participants stated that waiting times resulted in symptoms worsening (262/353, 74.2%), lower quality of life (166/353, 47%), and the necessity to seek emergency care (109/353, 30.9%). Of the 618 participants, 386 (62.5%) stated that they felt that their mental health symptoms were not always taken seriously by their health care provider and 297 (48.1%) were not given any psychoeducational information. The majority of the respondents (416/595, 77.5%) did not have the chance to discuss mental health support and treatment options. Critically, 16.1% (96/595) did not find any treatment or support provided at all helpful, with 63% (48/76) having discontinued treatment with no effective alternatives. Furthermore, 88.3% (545/617) of the respondents) had sought help on the web regarding mental health symptoms, and 44.4% (272/612) had used a web application or smartphone app for their mental health. Psychoeducation (364/596, 61.1%), referral to a health care professional (332/596, 55.7%), and symptom monitoring (314/596, 52.7%) were the most desired app features. Only 6.8% (40/590) of the participants said that they would not be interested in using a mental health assessment app. Respondents were the most interested to receive an overall severity score of their mental health symptoms (441/546, 80.8%) and an indication of whether they should seek mental health support (454/546, 83.2%).
CONCLUSIONS CONCLUSIONS
Key gaps in current UK mental health care provision are highlighted. Assessment and treatment waiting times together with a lack of information regarding symptoms and treatment options translated into poor care experiences. The participants' responses provide proof-of-concept support for the development of a digital mental health assessment app and valuable recommendations regarding desirable app features.

Identifiants

pubmed: 37549003
pii: v7i1e43271
doi: 10.2196/43271
pmc: PMC10442733
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e43271

Informations de copyright

©Benedetta Spadaro, Nayra A Martin-Key, Erin Funnell, Jiří Benáček, Sabine Bahn. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.08.2023.

Références

Digit Health. 2019 Aug 21;5:2055207619871808
pubmed: 31467682
PLoS One. 2014 Jan 17;9(1):e84323
pubmed: 24465404
BMJ Open. 2020 Sep 15;10(9):e040620
pubmed: 32933965
Br J Psychiatry. 2021 Jun;218(6):326-333
pubmed: 33081860
Psychol Psychother. 2019 Jun;92(2):277-297
pubmed: 30924316
J Clin Psychiatry. 2002;63 Suppl 8:24-34
pubmed: 12044105
JMIR Ment Health. 2022 May 11;9(5):e34655
pubmed: 35544305
Psychiatr Rehabil J. 2016 Dec;39(4):364-367
pubmed: 27845533
BMC Public Health. 2020 Jun 9;20(1):896
pubmed: 32517674
J Affect Disord. 1994 Aug;31(4):281-94
pubmed: 7989643
Evid Based Ment Health. 2018 Aug;21(3):116-119
pubmed: 29871870
JMIR Form Res. 2021 Oct 5;5(10):e26125
pubmed: 34609320
BMC Med. 2009 Dec 16;7:79
pubmed: 20015347
Int Rev Psychiatry. 2003 Feb-May;15(1-2):65-73
pubmed: 12745312
Soc Psychiatry Psychiatr Epidemiol. 1994 Feb;29(1):1-7
pubmed: 8178217
Psychiatr Q. 2018 Sep;89(3):539-548
pubmed: 29302771
J Affect Disord. 2014 Oct;168:65-71
pubmed: 25038293
Community Ment Health J. 2019 Aug;55(6):973-978
pubmed: 31175518
JAMA. 2013 Nov 6;310(17):1818-28
pubmed: 24193079
JMIR Ment Health. 2016 Mar 01;3(1):e7
pubmed: 26932350
J Affect Disord. 2022 Jan 1;296:506-513
pubmed: 34606817
BMJ Open. 2019 Feb 27;9(2):e026048
pubmed: 30814114
J Clin Psychiatry. 2003 Feb;64(2):161-74
pubmed: 12633125
Brain Sci. 2021 Jul 09;11(7):
pubmed: 34356146
J Ment Health. 2015;24(5):321-32
pubmed: 26017625
J Med Internet Res. 2020 Sep 29;22(9):e20283
pubmed: 32990635
J Am Med Inform Assoc. 2015 Jan;22(1):29-34
pubmed: 25326599
J Med Internet Res. 2018 Jun 06;20(6):e199
pubmed: 29875089
Br J Hosp Med (Lond). 2020 Mar 2;81(3):1-11
pubmed: 32240011
J Clin Psychiatry. 2000 Oct;61(10):804-8; quiz 809
pubmed: 11078046
Schizophr Bull. 2016 Mar;42(2):448-55
pubmed: 26400871
Lancet. 2009 Aug 22;374(9690):609-19
pubmed: 19640579
J Affect Disord. 2014 Dec;169 Suppl 1:S12-6
pubmed: 25533909
JMIR Ment Health. 2015 Mar 24;2(1):e8
pubmed: 26543914
J Med Internet Res. 2018 Jun 26;20(6):e10148
pubmed: 29945856
Front Digit Health. 2021 Aug 20;3:644539
pubmed: 34713114
Br J Psychiatry Suppl. 1996 Jun;(30):38-43
pubmed: 8864147
Br J Gen Pract. 2016 Oct;66(651):e686-92
pubmed: 27688518
Occup Environ Med. 2011 Jun;68(6):408-13
pubmed: 21075767
PLoS One. 2017 Dec 21;12(12):e0189904
pubmed: 29267334

Auteurs

Benedetta Spadaro (B)

Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.

Nayra A Martin-Key (NA)

Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.

Erin Funnell (E)

Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.
Psyomics Ltd, Cambridge, United Kingdom.

Jiří Benáček (J)

Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.

Sabine Bahn (S)

Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.
Psyomics Ltd, Cambridge, United Kingdom.

Classifications MeSH