Accepted for/Published in: JMIR Research Protocols
Date Submitted: Oct 30, 2020
Date Accepted: Nov 24, 2020
Investigating the Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis
ABSTRACT
Background:
Despite the rapidly growing number of digital assessment tools for screening and diagnosing mental health disorders, little is known about their diagnostic accuracy.
Objective:
The purpose of this protocol is to establish the diagnostic accuracy of question- and answer-based digital assessment tools for diagnosing a range of psychiatric conditions in the adult population.
Methods:
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) will be used to structure this protocol. The focus of the systematic review is guided by a population, intervention, comparator, and outcome framework (PICO). We will conduct a comprehensive systematic literature search of MEDLINE, PsychINFO, EmBase, Web of Science Core Collection, the Cochrane Library, Assia, and Cinahl for appropriate articles published from January 1, 2005. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any inconsistencies will be discussed and resolved. The two authors will then extract data into a standardized form. Risk of bias will be assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool and a descriptive analysis and meta-analysis will summarize the diagnostic accuracy of the identified digital assessment tools.
Results:
The systematic review and meta-analysis will commence in November 2020, with findings expected by May 2021.
Conclusions:
This systematic review and meta-analysis will summarize the diagnostic accuracy of question- and answer-based digital assessment tools. It will identify implications for clinical practice, identify areas for improvement, and directions for future research. Clinical Trial: CRD42020214724
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