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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

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 ap...

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Autores principales: Lakhtakia, Tanvi, Bondre, Ameya, Chand, Prabhat Kumar, Chaturvedi, Nirmal, Choudhary, Soumya, Currey, Danielle, Dutt, Siddharth, Khan, Azaz, Kumar, Mohit, Gupta, Snehil, Nagendra, Srilakshmi, Reddy, Preethi V, Rozatkar, Abhijit, Scheuer, Luke, Sen, Yogendra, Shrivastava, Ritu, Singh, Rahul, Thirthalli, Jagadisha, Tugnawat, Deepak Kumar, Bhan, Anant, Naslund, John A, Patel, Vikram, Keshavan, Matcheri, Mehta, Urvakhsh Meherwan, Torous, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647298/
https://www.ncbi.nlm.nih.gov/pubmed/36386246
http://dx.doi.org/10.1177/20552076221133758
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author Lakhtakia, Tanvi
Bondre, Ameya
Chand, Prabhat Kumar
Chaturvedi, Nirmal
Choudhary, Soumya
Currey, Danielle
Dutt, Siddharth
Khan, Azaz
Kumar, Mohit
Gupta, Snehil
Nagendra, Srilakshmi
Reddy, Preethi V
Rozatkar, Abhijit
Scheuer, Luke
Sen, Yogendra
Shrivastava, Ritu
Singh, Rahul
Thirthalli, Jagadisha
Tugnawat, Deepak Kumar
Bhan, Anant
Naslund, John A
Patel, Vikram
Keshavan, Matcheri
Mehta, Urvakhsh Meherwan
Torous, John
author_facet Lakhtakia, Tanvi
Bondre, Ameya
Chand, Prabhat Kumar
Chaturvedi, Nirmal
Choudhary, Soumya
Currey, Danielle
Dutt, Siddharth
Khan, Azaz
Kumar, Mohit
Gupta, Snehil
Nagendra, Srilakshmi
Reddy, Preethi V
Rozatkar, Abhijit
Scheuer, Luke
Sen, Yogendra
Shrivastava, Ritu
Singh, Rahul
Thirthalli, Jagadisha
Tugnawat, Deepak Kumar
Bhan, Anant
Naslund, John A
Patel, Vikram
Keshavan, Matcheri
Mehta, Urvakhsh Meherwan
Torous, John
author_sort Lakhtakia, Tanvi
collection PubMed
description 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.
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spelling pubmed-96472982022-11-15 Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study Lakhtakia, Tanvi Bondre, Ameya Chand, Prabhat Kumar Chaturvedi, Nirmal Choudhary, Soumya Currey, Danielle Dutt, Siddharth Khan, Azaz Kumar, Mohit Gupta, Snehil Nagendra, Srilakshmi Reddy, Preethi V Rozatkar, Abhijit Scheuer, Luke Sen, Yogendra Shrivastava, Ritu Singh, Rahul Thirthalli, Jagadisha Tugnawat, Deepak Kumar Bhan, Anant Naslund, John A Patel, Vikram Keshavan, Matcheri Mehta, Urvakhsh Meherwan Torous, John Digit Health Original Research 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. SAGE Publications 2022-11-08 /pmc/articles/PMC9647298/ /pubmed/36386246 http://dx.doi.org/10.1177/20552076221133758 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Lakhtakia, Tanvi
Bondre, Ameya
Chand, Prabhat Kumar
Chaturvedi, Nirmal
Choudhary, Soumya
Currey, Danielle
Dutt, Siddharth
Khan, Azaz
Kumar, Mohit
Gupta, Snehil
Nagendra, Srilakshmi
Reddy, Preethi V
Rozatkar, Abhijit
Scheuer, Luke
Sen, Yogendra
Shrivastava, Ritu
Singh, Rahul
Thirthalli, Jagadisha
Tugnawat, Deepak Kumar
Bhan, Anant
Naslund, John A
Patel, Vikram
Keshavan, Matcheri
Mehta, Urvakhsh Meherwan
Torous, John
Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study
title Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study
title_full Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study
title_fullStr Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study
title_full_unstemmed Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study
title_short Smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: Initial data and clinical correlations from an international first episode psychosis study
title_sort smartphone digital phenotyping, surveys, and cognitive assessments for global mental health: initial data and clinical correlations from an international first episode psychosis study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647298/
https://www.ncbi.nlm.nih.gov/pubmed/36386246
http://dx.doi.org/10.1177/20552076221133758
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