Evidence map›Paper›PMID 42732427›Full record

ArticleSchizophrenia bulletin open2026

Subjective Perceptions of Digital Phenotyping Measures of Negative Symptoms Among Individuals At Clinical High Risk for Psychosis and Their Relatives.

Zhixin Zhang, Ada L Hutcheson, Lauren E Arnold, Zachary A Carter, Justin T Barolette, Josephine E Luck, Kimberly Kundert-Obando, Anna R Knippenberg, Elaine F Walker, Vijay A Mittal and 1 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

11 authors.

Zhixin ZhangDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Ada L HutchesonDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Lauren E ArnoldDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Zachary A CarterDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Justin T BaroletteDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Josephine E LuckDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Kimberly Kundert-ObandoDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Anna R KnippenbergDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.
Elaine F WalkerDepartment of Psychology and Program in Neuroscience, Emory University, Atlanta, GA 30322, United States.ORCID https://orcid.org/0000-0002-9798-8101
Vijay A MittalDepartment of Psychology, Northwestern University, Evanston, IL 60208, United States.ORCID https://orcid.org/0000-0001-9017-5119
Gregory P StraussDepartment of Psychology, University of Georgia, Athens, GA 30602, United States.

Funding

ProNET: Psychosis-Risk Outcomes NetworkU01MH124639 · NIMH · YALE UNIVERSITY · PI CARRIE E BEARDEN, JOHN M KANE · 2020 to 2026
$81.2M
Prodromal Inventory for Negative Symptoms (PINS): A Development and Validation StudyR01MH116039 · NIMH · UNIVERSITY OF GEORGIA · PI MITTAL, VIJAY A, STRAUSS, GREGORY P · 2019 to 2023
$3.1M
4/5 CAPER: Computerized assessment of psychosis riskR01MH120092 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2020 to 2024
$2.0M
Mechanisms Underlying Emotion Regulation Abnormalities in Youth at Clinical High-Risk for PsychosisR21MH119438 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2019 to 2020
$415k
NIMH NIH HHS R01 MH116039NIMH NIH HHS R01 MH120092NIMH NIH HHS R21 MH119438NIMH NIH HHS U01 MH124639
6 · The paper itself

Abstract

Objective: Negative symptoms are frequently experienced among youth at clinical high-risk (CHR) for psychosis. While clinical interviews are the most well-established and widely used measurements for assessing negative symptoms in individuals at CHR, several limitations exist. Digital phenotyping methods (eg, geolocation, ecological momentary assessment [EMA]) have shown promise in measuring negative symptoms across contexts. However, little is known about how CHR and their relatives (REL) perceive these methods or understand EMA questions. Accounting for subjective viewpoints is important before these tools can be utilized at scale and in clinical trials. Method: Groups of CHR ( Results: Both groups showed low levels of concern regarding digital phenotyping methods. Concerns mainly revolved around privacy and data security, and were mitigated after clarifications on protection policies and research procedures were provided. Participants reported that active and passive digital phenotyping measurements were moderately important and could accurately measure their symptoms. They also deemed most EMA questions clear and provided suggestions for revising those they found less clear. Conclusions: Clinical high-risk and REL participants largely supported the use of digital phenotyping to measure negative symptoms, endorsing its perceived relevance and practical feasibility. These findings contribute to ongoing efforts to align clinical assessments tools with lived experience and to provide support for regulatory standards for patient-centered outcome measures.

Indexed as

clinical high riskdigital phenotypingqualitative

Identifiers

PMID42732427
PMCPMC13570644

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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.