Evidence map›Paper›PMID 37549003›Full record

ArticleJMIR formative research2023

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

Benedetta Spadaro, Nayra A Martin-Key, Erin Funnell, Jiří Benáček, Sabine Bahn

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Benedetta Spadaro *Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-4654-1449
Nayra A Martin-Key *Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-9731-3809
Erin FunnellCambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-7652-8528
Jiří BenáčekCambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-7254-3261
Sabine BahnCambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4690-6302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvery 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.

objectiveThis 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.

methodsA web-based survey was generated using Qualtrics XM. Participants were recruited via social media. Data were explored using descriptive statistics.

resultsThe 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%).

conclusionsKey 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.

Indexed as

assessmentdevelopmentdigital mental healthimplementationmental healthmobile phoneprovisionsupport

Identifiers

PMID37549003
PMCPMC10442733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.