Evidence map›Paper›PMID 38941349›Full record

ArticlePLOS digital health2024

Digital phenotyping correlates of mobile cognitive measures in schizophrenia: A multisite global mental health feasibility trial.

Asher Cohen, Devayani Joshi, Ameya Bondre, Prabhat Kumar Chand, Nirmal Chaturvedi, Soumya Choudhary, Siddharth Dutt, Azaz Khan, Carsten Langholm, Mohit Kumar and 16 more

Abstract read
In one paragraph

Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Validation and normative data for the BAC app in Spanish-speaking individuals with psychosis and healthy controls.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  8. Article
  9. Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Asher CohenDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Devayani JoshiDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Ameya BondreSangath Bhopal Hub, India.
Prabhat Kumar ChandDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Nirmal ChaturvediSangath Bhopal Hub, India.
Soumya ChoudharyDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Siddharth DuttDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Azaz KhanSangath Bhopal Hub, India.
Carsten LangholmDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Mohit KumarDepartment of Psychiatry, All India Institute of Medical Sciences (AIIMS) Bhopal, Bhopal, India.
Snehil GuptaDepartment of Psychiatry, All India Institute of Medical Sciences (AIIMS) Bhopal, Bhopal, India.
Srilakshmi NagendraDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Preethi V ReddyDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Abhijit RozatkarDepartment of Psychiatry, All India Institute of Medical Sciences (AIIMS) Bhopal, Bhopal, India.
Yogendra SenSangath Bhopal Hub, India.
Ritu ShrivastavaSangath Bhopal Hub, India.ORCID https://orcid.org/0000-0002-1139-0337
Rahul SinghSangath Bhopal Hub, India.
Jagadisha ThirthalliDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Deepak Kumar TugnawatSangath Bhopal Hub, India.
Anant BhanSangath Bhopal Hub, India.ORCID https://orcid.org/0000-0002-7456-535X
John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
Aditya VaidyamDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Vikram PatelDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
Matcheri KeshavanDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Urvakhsh Meherwan MehtaDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-2252-9189
John TorousDivision of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-5362-7937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these limitations, this study investigates the feasibility and advantages of utilizing smartphone-based assessments to capture both cognitive functioning and digital phenotyping data and compare these results to gold standard measures. We conducted a secondary analysis of data from 76 individuals with schizophrenia, who were recruited across three sites (one in Boston, two in India) was conducted. The open-source mindLAMP smartphone app captured digital phenotyping data and Trails A/B assessments of attention / memory for up to 12 months. The smartphone-cognitive tasks exhibited potential for normal distribution and these scores showed small but significant correlations with the results from the Brief Assessment of Cognition in Schizophrenia, especially the digital span and symbol coding tasks (r2 = 0.21). A small but significant correlation (r2 = 0.29) between smartphone-derived cognitive scores and health-related behaviors such as sleep duration patterns was observed. Smartphone-based cognitive assessments show promise as cross-cultural tools that can capture relevant data on momentary states among individuals with schizophrenia. Cognitive results related to sleep suggest functional applications to digital phenotyping data, and the potential of this multimodal data approach in research.

Identifiers

PMID38941349
PMCPMC11213313

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.