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Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study

Authors :
Tanvi Lakhtakia
Ameya Bondre
Prabhat Kumar Chand
Nirmal Chaturvedi
Soumya Choudhary
Danielle Currey
Siddharth Dutt
Azaz Khan
Mohit Kumar
Snehil Gupta
Srilakshmi Nagendra
Preethi V Reddy
Abhijit Rozatkar
Luke Scheuer
Yogendra Sen
Ritu Shrivastava
Rahul Singh
Jagadisha Thirthalli
Deepak Kumar Tugnawat
Anant Bhan
John A Naslund
Vikram Patel
Matcheri Keshavan
Urvakhsh Meherwan Mehta
John Torous
Source :
Digital Health, Vol 8 (2022)
Publication Year :
2022
Publisher :
SAGE Publishing, 2022.

Abstract

Objective To examine feasibility and acceptability of smartphone mental health app use for symptom, cognitive, and digital phenotyping monitoring among people with schizophrenia in India and the United States. Methods Participants in Boston, USA and Bhopal and Bangalore, India used a smartphone app to monitor symptoms, play cognitive games, access relaxation and psychoeducation resources and for one month, with an initial clinical and cognitive assessment and a one-month follow-up clinical assessment. Engagement with the app was compared between study sites, by clinical symptom severity and by cognitive functioning. Digital phenotyping data collection was also compared between three sites. Results By Kruskal-Wallis rank-sum test, we found no difference between app activities completed or digital phenotyping data collected across the three study sites. App use also did not correlate to clinical or cognitive assessment scores. When using the app for symptom monitoring, preliminary findings suggest app-based assessment correlate with standard cognitive and clinical assessments. Conclusions Smartphone app for symptom monitoring and digital phenotyping for individuals with schizophrenia appears feasible and acceptable in a global context. Clinical utility of this app for real-time assessments is promising, but further research is necessary to determine the long-term efficacy and generalizability for serious mental illness.

Details

Language :
English
ISSN :
20552076 and 99522365
Volume :
8
Database :
Directory of Open Access Journals
Journal :
Digital Health
Publication Type :
Academic Journal
Accession number :
edsdoj.30ad415c57404f9e99522365beeab2ad
Document Type :
article
Full Text :
https://doi.org/10.1177/20552076221133758