Evidence map›Paper›PMID 35276573›Full record

ArticlePsychiatry research2022

Ambulatory audio and video recording for digital phenotyping in schizophrenia: Adherence & data usability.

Tovah Cowan, Alex S Cohen, Ian M Raugh, Gregory P Strauss

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Humanizing "multimodal" digital phenotyping of serious mental illness.Journal of psychopathology and clinical science · 2026
    Article
  2. Review
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  4. Automating the analysis of facial emotion expression dynamics: A computational framework and application in psychotic disorders.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

4 authors at 2 institutions in 1 country.

Tovah CowanDepartment of Psychology, Louisiana State University, Baton Rouge, USA; Center for Computation and Technology, Louisiana State University, Baton Rouge, USA.
Alex S CohenDepartment of Psychology, Louisiana State University, Baton Rouge, USA; Center for Computation and Technology, Louisiana State University, Baton Rouge, USA.
Ian M RaughDepartment of Psychology, University of Georgia, Athens, USA.
Gregory P StraussDepartment of Psychology, University of Georgia, Athens, USA. Electronic address: gstrauss@uga.edu.
Louisiana State University · USUniversity of Georgia · US

Funding

Modeling Anhedonia in Schizophrenia: A Stochastic Dynamical Systems ApproachR21MH112925 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2017 to 2018
$417k
NIMH NIH HHS R21 MH112925
6 · The paper itself

Abstract

Ambulatory audio and video recording provides a wealth of information which can be used for a broad range of applications, including digital phenotyping, telepsychiatry, and telepsychology. However, these technologies are in their infancy, and guidelines for their use and analysis have yet to be established. The current project used ambulatory assessment data from individuals with schizophrenia (N = 52) and controls (N = 55) over a week to assess factors influencing sufficiency and useability of video and audio data. Logistic multilevel models examined the effect of relevant variables on video provision and video quality. There was no difference by group in video provision or quality. Videos were less likely to be provided later in the study and later in the day. Video quality was lower later in the day, particularly for controls. Participants were more likely to provide videos if alone or at home than in other settings. Black participants were less likely to have analyzable video frames than White participants. These results suggest potential racial disparities in camera technologies and/or facial analysis algorithms. Implications of these findings and recommendations for future study development, such as instructions to provide to participants to optimize video quality, are discussed.

Indexed as

PsychiatrySchizophreniaTelemedicineAmbulatory Care FacilitiesHumansVideo Recordingacoustic analysisbiobehavioral datacomputerized facial analysisdigital phenotypingecological momentary assessment

Identifiers

PMID35276573
PMCPMC9018573
OpenAlexW4214560342

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.