Evidence map›Paper›PMID 31226579›Full record

Trial reportJournal of psychiatric research2019

Capturing behavioral indicators of persecutory ideation using mobile technology.

Benjamin Buck, Kevin A Hallgren, Emily Scherer, Rachel Brian, Rui Wang, Weichen Wang, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John M Kane and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Identifying Mobile Sensing Indicators of Stress-Resilience.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2021
    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

11 authors.

Benjamin BuckHealth Services Research & Development, Puget Sound VA Healthcare System, Seattle, WA, USA; Department of Health Services, School of Public Health, Univ. of Washington, Seattle, WA, USA; Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA. Electronic address: buckbe@uw.edu.
Kevin A HallgrenBehavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Emily SchererGeisel School of Medicine, Dartmouth College, Hanover, NH, USA.
Rachel BrianBehavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Rui WangDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.
Weichen WangDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.
Andrew CampbellDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.
Tanzeem ChoudhuryDepartment of Information Science, Cornell University, Ithaca, NY, USA.
Marta HauserThe Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
John M KaneThe Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
Dror Ben-ZeevBehavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.

Funding

A New Paradigm for Illness Monitoring and Relapse Prevention in SchizophreniaR01MH103148 · NIMH · DARTMOUTH COLLEGE · PI BEN-ZEEV, DROR · 2013 to 2016
$1.5M
Developing a tool to assess, provide feedback, and facilitate discussion of mechanisms of change in frontline addiction treatmentK01AA024796 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2016 to 2020
$870k
NIAAA NIH HHS K01 AA024796NIMH NIH HHS R01 MH103148
6 · The paper itself

Abstract

Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI. In the current study, sixty-two participants with schizophrenia spectrum disorders completed momentary assessments of PI on a smartphone that also passively collected behavioral data for one year. Results suggested that PI was prevalent (n = 50, 82% of sample) but had infrequent incidence (25.2% of EMA responses). PI was also associated with changes in several passively sensed variables, including decreases in distance traveled (M

Indexed as

Ecological Momentary AssessmentMobile ApplicationsSmartphoneTelemedicineAdultFeasibility StudiesFemaleHumansMaleParanoid DisordersPsychotic DisordersmHealthParanoiaPsychosisTechnology

Identifiers

PMID31226579
PMCPMC6650264

What OpenQuestion holds

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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.