Evidence map›Paper›PMID 33616546›Full record

ArticleJMIR mental health2021

Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study.

Dan-Mircea Mirea, Nayra A Martin-Key, Giles Barton-Owen, Tony Olmert, Jason D Cooper, Sung Yeon Sarah Han, Lynn P Farrag, Emily Bell, Lauren V Friend, Pawel Eljasz and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
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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

13 authors at 1 institution in 1 country.

Dan-Mircea MireaDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-4349-7059
Nayra A Martin-KeyDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-9731-3809
Giles Barton-OwenPsyomics, Ltd, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-7552-1295
Tony OlmertDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4641-6442
Jason D CooperDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-2459-5286
Sung Yeon Sarah HanDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-1459-2516
Lynn P FarragPsyomics, Ltd, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-5045-5308
Emily BellPsyomics, Ltd, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-2037-3093
Lauren V FriendPsyomics, Ltd, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4340-7401
Pawel EljaszDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0592-3934
Daniel CowellPsyomics, Ltd, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-6061-3544
Jakub TomasikDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-2127-4487
Sabine BahnDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4690-6302
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeb-based assessments of mental health concerns hold great potential for earlier, more cost-effective, and more accurate diagnoses of psychiatric conditions than that achieved with traditional interview-based methods.

objectiveThe aim of this study was to assess the impact of a comprehensive web-based mental health assessment on the mental health and well-being of over 2000 individuals presenting with symptoms of depression.

methodsIndividuals presenting with depressive symptoms completed a web-based assessment that screened for mood and other psychiatric conditions. After completing the assessment, the study participants received a report containing their assessment results along with personalized psychoeducation. After 6 and 12 months, participants were asked to rate the usefulness of the web-based assessment on different mental health-related outcomes and to self-report on their recent help-seeking behavior, diagnoses, medication, and lifestyle changes. In addition, general mental well-being was assessed at baseline and both follow-ups using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS).

resultsData from all participants who completed either the 6-month or the 12-month follow-up (N=2064) were analyzed. The majority of study participants rated the study as useful for their subjective mental well-being. This included talking more openly (1314/1939, 67.77%) and understanding one's mental health problems better (1083/1939, 55.85%). Although most participants (1477/1939, 76.17%) found their assessment results useful, only a small proportion (302/2064, 14.63%) subsequently discussed them with a mental health professional, leading to only a small number of study participants receiving a new diagnosis (110/2064, 5.33%). Among those who were reviewed, new mood disorder diagnoses were predicted by the digital algorithm with high sensitivity (above 70%), and nearly half of the participants with new diagnoses also had a corresponding change in medication. Furthermore, participants' subjective well-being significantly improved over 12 months (baseline WEMWBS score: mean 35.24, SD 8.11; 12-month WEMWBS score: mean 41.19, SD 10.59). Significant positive predictors of follow-up subjective well-being included talking more openly, exercising more, and having been reviewed by a psychiatrist.

conclusionsOur results suggest that completing a web-based mental health assessment and receiving personalized psychoeducation are associated with subjective mental health improvements, facilitated by increased self-awareness and subsequent use of self-help interventions. Integrating web-based mental health assessments within primary and/or secondary care services could benefit patients further and expedite earlier diagnosis and effective treatment. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/18453.

Indexed as

bipolar disorderdigital diagnosise-healthmajor depressive disordermental healthmood disordersonline assessment

Identifiers

PMID33616546
PMCPMC7939939
OpenAlexW3107907126

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.