%0 Journal Article
%@ 2368-7959
%I JMIR Publications
%V 8
%N 2
%P e23813
%T Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study
%A Mirea,Dan-Mircea
%A Martin-Key,Nayra A
%A Barton-Owen,Giles
%A Olmert,Tony
%A Cooper,Jason D
%A Han,Sung Yeon Sarah
%A Farrag,Lynn P
%A Bell,Emily
%A Friend,Lauren V
%A Eljasz,Pawel
%A Cowell,Daniel
%A Tomasik,Jakub
%A Bahn,Sabine
%+ Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Dr, Cambridge CB3 0AS, Cambridge, United Kingdom, 44 1223 334151, sb209@cam.ac.uk
%K online assessment
%K mental health
%K e-health
%K digital diagnosis
%K mood disorders
%K bipolar disorder
%K major depressive disorder
%D 2021
%7 22.2.2021
%9 Original Paper
%J JMIR Ment Health
%G English
%X Background: Web-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. Objective: The 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. Methods: Individuals 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). Results: Data 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. Conclusions: Our 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 
%M 33616546
%R 10.2196/23813
%U https://mental.jmir.org/2021/2/e23813
%U https://doi.org/10.2196/23813
%U http://www.ncbi.nlm.nih.gov/pubmed/33616546