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Accepted for/Published in: JMIR Formative Research

Date Submitted: Dec 1, 2020
Date Accepted: Jan 26, 2021
Date Submitted to PubMed: Jan 27, 2021

The final, peer-reviewed published version of this preprint can be found here:

Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages

Hull TD, Levine J, Bantilan N, Desai AN, Majumder MS

Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages

JMIR Form Res 2021;5(2):e26190

DOI: 10.2196/26190

PMID: 33502999

PMCID: 7879721

Complex psychological responses to the COVID-19 pandemic: Digital phenotyping evidence from a large telemental health platform

  • Thomas D. Hull; 
  • Jacob Levine; 
  • Niels Bantilan; 
  • Angel N. Desai; 
  • Maimuna S. Majumder

ABSTRACT

Background:

The novel coronavirus disease 2019 (COVID-19) has negatively impacted mortality, economic conditions, and mental health and these impacts are likely to continue after the pandemic comes to an end.

Objective:

At present, no method has characterized the mental health burden of the pandemic distinct from pre-COVID-19 levels. Accurate detection of illness is critical to facilitate pandemic-related treatment to prevent worsening symptoms.

Methods:

An algorithm for the isolation of pandemic-related concerns on a large digital mental health service is reported that utilized natural language processing (NLP) on unstructured therapy transcript data, in parallel with brief clinical assessments of depression and anxiety symptoms.

Results:

Results demonstrate a significant increase in COVID-related intake anxiety symptoms, but no detectable difference in intake depression symptoms. Transcript analyses identified terms classifiable into 24 symptoms in excess of those included in the diagnostic criteria for anxiety and depression.

Conclusions:

Findings for this large digital therapy service suggest that treatment seekers are presenting with more severe intake anxiety levels than before the COVID-19 outbreak. Importantly, monitoring additional symptoms as part of a new COVID-19 Syndrome category could be advised to fully capture the effects of COVID019 on mental health.


 Citation

Please cite as:

Hull TD, Levine J, Bantilan N, Desai AN, Majumder MS

Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages

JMIR Form Res 2021;5(2):e26190

DOI: 10.2196/26190

PMID: 33502999

PMCID: 7879721

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.