Evidence map›Paper›PMID 30977736›Full record

ArticleJMIR mental health2019

Transdiagnostic Mobile Health: Smartphone Intervention Reduces Depressive Symptoms in People With Mood and Psychotic Disorders.

Dror Ben-Zeev, Benjamin Buck, Phuonguyen Vu Chu, Lisa Razzano, Nicole Pashka, Kevin A Hallgren

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02421965 (Comparing Mobile Health), which is not on this map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 8% 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.

NCT02421965 nacompletednot on this map

Comparing Mobile Health (mHealth) and Clinic-Based Self-Management Interventions for Serious Mental Illness: Patient Engagement, Satisfaction, and Outcomes

TypeinterventionalSponsorDartmouth-Hitchcock Medical CenterRan2015 to 2017Enrolled174ConditionsSchizophrenia, Schizoaffective Disorder, Bipolar Disorder, Major Depressive DisorderArmsFOCUS (Smartphone Application), WRAP (Wellness Recovery Action Planning)
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 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

6 authors at 3 institutions in 1 country.

Dror Ben-ZeevBehavioral Research In Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0001-6597-2407
Benjamin BuckBehavioral Research In Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-2841-0493
Phuonguyen Vu ChuBehavioral Research In Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0001-8831-8387
Lisa RazzanoCenter on Mental Health Services Research and Policy, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-9177-2449
Nicole PashkaThresholds Inc, Chicago, IL, United States.ORCID http://orcid.org/0000-0001-9751-8022
Kevin A HallgrenBehavioral Research In Technology and Engineering Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0001-8386-3984
University of Washington · USThresholds · USUniversity of Illinois Chicago · US

Funding

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 AA024796
6 · The paper itself

Abstract

backgroundDepression is the most prevalent mental health problem. The need for effective treatments for depression far outstrips the availability of trained mental health professionals. Smartphones and other widely available technologies are increasingly being leveraged to deliver treatments for depression. Whether there are patient characteristics that affect the potency of smartphone interventions for depression is not well understood.

objectiveThis study aimed to evaluate whether patient characteristics including clinical diagnosis, depression severity, psychosis status, and current use of antidepressant medications impact the effects of an evidence-based smartphone intervention on depressive symptoms.

methodsData were collected as part of a 2-arm randomized controlled trial comparing a multimodal smartphone intervention called FOCUS with a clinic-based intervention. Here, we report on 82 participants assigned to 12 weeks of FOCUS treatment. We conducted assessments of depressive symptoms using the Beck Depression Inventory-second edition (BDI-II) at baseline, postintervention (3 months), and follow-up (6 months). We tested for differences in the amount of improvement in BDI-II scores from baseline to posttreatment and 6-month follow-up between each of the following patient subgroups using 2 (group) × 2 (time) mixed effects models: diagnosis (ie, schizophrenia spectrum disorder vs bipolar disorder vs major depressive disorder), depression severity (ie, minimal-mild vs moderate-severe depression), psychosis status (ie, presence vs absence of psychotic symptoms), and antidepressant use (ie, taking antidepressants vs not taking antidepressants).

resultsThe majority of participants were male (60%, 49/82), African American (65%, 53/82), and middle-aged (mean age 49 years), with a high school education or lower (62%, 51/82). There were no differences in patient demographics across the variables that were used to stratify the analyses. There was a significant group × time interaction for baseline depression severity (F

conclusionsOur results suggest that FOCUS can be deployed to treat moderate to severe depressive symptoms among people with schizophrenia spectrum disorders, bipolar disorder, and major depressive disorder, in concert with antidepressant medications or without them, in both people with and without active psychotic symptoms. The study results are consistent with research on transdiagnostic models in psychotherapy and extend our knowledge about the potential of transdiagnostic mobile health.

trial registrationClinicalTrials.gov NCT02421965; http://clinicaltrials.gov/ct2/show/NCT02421965 (Archived by WebCite at http://www.webcitation.org/76pyDlvAS).

Indexed as

bipolar disorderdepressionillness managementmHealthschizophreniasymptomstransdiagnostic

Identifiers

PMID30977736
PMCPMC6484257
OpenAlexW2937735857

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.