Evidence map›Paper›PMID 33937774›Full record

ArticleSchizophrenia bulletin open2020

Mobile RDoC: Using Smartphones to Understand the Relationship Between Auditory Verbal Hallucinations and Need for Care.

Dror Ben-Zeev, Benjamin Buck, Ayesha Chander, Rachel Brian, Weichen Wang, David Atkins, Carolyn J Brenner, Trevor Cohen, Andrew Campbell, Jeffrey Munson

Open access · goldAbstract read
In one paragraph

Article in Schizophrenia bulletin open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Dror Ben-ZeevDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Benjamin BuckDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Ayesha ChanderDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Rachel BrianDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Weichen WangDepartment of Computer Science, Dartmouth College, Hanover, NH.
David AtkinsDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Carolyn J BrennerDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Trevor CohenDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Andrew CampbellDepartment of Computer Science, Dartmouth College, Hanover, NH.
Jeffrey MunsonDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
University of Washington · USDartmouth College · USUniversity of Washington Medical Center · US

Funding

Mobile RDoC: Using Smartphone Technology to Understand Auditory Verbal HallucinationsR01MH112641 · NIMH · UNIVERSITY OF WASHINGTON · PI BEN-ZEEV, DROR · 2017 to 2020
$2.8M
NIMH NIH HHS R01 MH112641
6 · The paper itself

Abstract

objectiveAuditory verbal hallucinations (AVH) are common in multiple clinical populations but also occur in individuals who are otherwise considered healthy. Adopting the National Institute of Mental Health's Research Domain Criteria (RDoC) framework, the aim of the current study was to integrate a variety of measures to evaluate whether AVH experience varies across clinical and nonclinical individuals.

methodsA total of 384 people with AVH from 41 US states participated in the study; 295 participants (77%) who received inpatient, outpatient, or combination treatments for AVH and 89 participants (23%) who never received care. Participants used a multi-modal smartphone data collection system to report on their AVH experiences and co-occurring psychological states multiple times daily, over 30 days. In parallel, smartphone sensors recorded their physical activity, geolocation, and calling and texting behavior continuously.

resultsThe clinical sample experienced AVH more frequently than the nonclinical group and rated their AVH as significantly louder and more powerful. They experienced more co-occurring negative affect and were more socially withdrawn, spending significantly more time at home and significantly less time near other people. Participants with a history of inpatient care also rated their AVH as infused with significantly more negative content. The groups did not differ in their physical activity or use of their smartphones for digital communication.

conclusionSmartphone-assisted remote data collection revealed real-time/real-place phenomenological, affective, and behavioral differences between clinical and nonclinical samples of people who experience AVH. The study provided strong support for the application of RDoC-informed approaches in psychosis research.

Indexed as

ecological momentary assessmentmobile health (mHealth)mobile phonespsychosisschizophreniasensing

Identifiers

PMID33937774
PMCPMC8061119
OpenAlexW3112465771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.