Published on in Vol 10, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25382, first published .
The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis

The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis

The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis

Authors of this article:

Nayra A Martin-Key1, PhD Author Orcid Image ;   Thea S Schei2, PhD Author Orcid Image ;   Eleanor J Barker3, MSc Author Orcid Image ;   Benedetta Spadaro1, MPhil Author Orcid Image ;   Erin Funnell2, BSc Author Orcid Image ;   Jiri Benacek1, BSc Author Orcid Image ;   Jakub Tomasik1, PhD Author Orcid Image ;   Sabine Bahn1, MD, PhD, MRCPsych, FRSB Author Orcid Image
Article Authors Cited by Tweetations Metrics
Nayra A Martin-Key 1*, PhD;  Thea S Schei 2*, PhD;  Eleanor J Barker 3, MSc;  Benedetta Spadaro 1, MPhil;  Erin Funnell 2, BSc;  Jiri Benacek 1, BSc;  Jakub Tomasik 1, PhD;  Sabine Bahn 1, MD, PhD, MRCPsych, FRSB

1 Department of Chemical Engineering and Biotechnology, Cambridge Centre for Neuropsychiatric Research, University of Cambridge, Cambridge , GB

2 Psyomics Ltd , Cambridge , GB

3 University of Cambridge Medical Library, University of Cambridge , Cambridge , GB

*these authors contributed equally

Corresponding Author:

  • Sabine Bahn, MD, PhD, MRCPsych, FRSB
  • Department of Chemical Engineering and Biotechnology
  • Cambridge Centre for Neuropsychiatric Research
  • University of Cambridge
  • Philippa Fawcett Drive
  • Cambridge
  • GB
  • Phone: 44 1223 334151
  • Email: sb209@cam.ac.uk