Evidence map›Paper›PMID 29487044›Full record

ArticleJMIR mental health2018

A Mobile Health Platform for Clinical Monitoring in Early Psychosis: Implementation in Community-Based Outpatient Early Psychosis Care.

Divya Kumar, Laura M Tully, Ana-Maria Iosif, Lauren N Zakskorn, Kathleen E Nye, Aqsa Zia, Tara Ann Niendam

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
9.3field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 84 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

7 authors at 1 institution in 1 country.

Divya Kumar *Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0001-6042-628X
Laura M Tully *Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0002-2751-9887
Ana-Maria IosifDivision of Biostatistics, Department of Public Health Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0001-7283-2015
Lauren N ZakskornDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0001-9695-6055
Kathleen E NyeDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0002-4889-3907
Aqsa ZiaDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0001-7668-6182
Tara Ann NiendamDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.ORCID http://orcid.org/0000-0003-2285-5002
University of California, Davis · US

Funding

Building Interdisciplinary Research Careers in Womens Health at UC Davis - Administrative SupplementK12HD051958 · NICHD · UNIVERSITY OF CALIFORNIA DAVIS · PI LANE, NANCY E · 2005 to 2023
$9.6M
NICHD NIH HHS K12 HD051958
6 · The paper itself

Abstract

backgroundA growing body of literature indicates that smartphone technology is a feasible add-on tool in the treatment of individuals with early psychosis (EP) . However, most studies to date have been conducted independent of outpatient care or in a research clinic setting, often with financial incentives to maintain user adherence to the technology. Feasibility of dissemination and implementation of smartphone technology into community mental health centers (CMHCs) has yet to be tested, and whether young adults with EP will use this technology for long periods of time without incentive is unknown. Furthermore, although EP individuals willingly adopt smartphone technology as part of their treatment, it remains unclear whether providers are amenable to integrating smartphone technology into treatment protocols.

objectiveThis study aimed to establish the feasibility of implementing a smartphone app and affiliated Web-based dashboard in 4 community outpatient EP clinics in Northern California.

methodsEP individuals in 4 clinics downloaded an app on their smartphone and responded to daily surveys regarding mood and symptoms for up to 5 months. Treatment providers at the affiliated clinics viewed survey responses on a secure Web-based dashboard in sessions with their clients and between appointments. EP clients and treatment providers filled out satisfaction surveys at study end regarding usability of the app.

resultsSixty-one EP clients and 20 treatment providers enrolled in the study for up to 5 months. Forty-one EP clients completed the study, and all treatment providers remained in the study for their duration in the clinic. Survey completion for all 61 EP clients was moderate: 40% and 39% for daily and weekly surveys, respectively. Completion rates were slightly higher in the participants who completed the study: 44% and 41% for daily and weekly surveys, respectively. Twenty-seven of 41 (66%) EP clients who completed the study and 11 of 13 (85%) treatment providers who responded to satisfaction surveys reported they would continue to use the app as part of treatment services. Six (15%; 6/41) clients and 3 providers (23%; 3/13) stated that technological glitches impeded their engagement with the platform.

conclusionsEP clients and treatment providers in community-based outpatient clinics are responsive to integrating smartphone technology into treatment services. There were logistical and technical challenges associated with enrolling individuals in CMHCs. To be most effective, implementing smartphone technology in CMHC EP care necessitates adequate technical staff and support for utilization of the platform.

Indexed as

ecological momentary assessmentexperience samplingmHealthschizophreniasmartphone

Identifiers

PMID29487044
PMCPMC5849797
OpenAlexW2787977352

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.