Capturing behavioral indicators of persecutory ideation using mobile technology.


Journal

Journal of psychiatric research
ISSN: 1879-1379
Titre abrégé: J Psychiatr Res
Pays: England
ID NLM: 0376331

Informations de publication

Date de publication:
09 2019
Historique:
received: 11 01 2019
revised: 30 05 2019
accepted: 06 06 2019
pubmed: 22 6 2019
medline: 25 8 2020
entrez: 22 6 2019
Statut: ppublish

Résumé

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

Identifiants

pubmed: 31226579
pii: S0022-3956(19)30023-8
doi: 10.1016/j.jpsychires.2019.06.002
pmc: PMC6650264
mid: NIHMS1532540
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

112-117

Subventions

Organisme : NIAAA NIH HHS
ID : K01 AA024796
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH103148
Pays : United States

Informations de copyright

Published by Elsevier Ltd.

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Auteurs

Benjamin Buck (B)

Health 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 Hallgren (KA)

Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.

Emily Scherer (E)

Geisel School of Medicine, Dartmouth College, Hanover, NH, USA.

Rachel Brian (R)

Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.

Rui Wang (R)

Department of Computer Science, Dartmouth College, Hanover, NH, USA.

Weichen Wang (W)

Department of Computer Science, Dartmouth College, Hanover, NH, USA.

Andrew Campbell (A)

Department of Computer Science, Dartmouth College, Hanover, NH, USA.

Tanzeem Choudhury (T)

Department of Information Science, Cornell University, Ithaca, NY, USA.

Marta Hauser (M)

The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.

John M Kane (JM)

The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.

Dror Ben-Zeev (D)

Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.

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Classifications MeSH