Evidence map›Paper›PMID 27998876›Full record

Trial reportJournal of medical Internet research2016

The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial.

Patricia A Arean, Kevin A Hallgren, Joshua T Jordan, Adam Gazzaley, David C Atkins, Patrick J Heagerty, Joaquin A Anguera

3 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 192 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 19 pooled it
26.3field-weighted citation impact, top 1% 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.

NCT00540865 nacompletednot on this map

Case Management and Problem Solving Therapy for Depressed, Homebound, Low-Income Elders

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2007 to 2013Enrolled187ConditionsDepressionArmsProblem-solving therapy (PST), Case management (CM)
NCT03552900 nacompletednot on this mapstarted 2018, after this paper: background citation

Evaluating the Use of a Mobile App to Reduce Symptoms of Depression and Anxiety for Students Seeking Care at Harvard University Health Services

TypeinterventionalSponsorHarvard UniversityRan2018 to 2018Enrolled50ConditionsDepression, AnxietyArms7cups Mobile App, Bliss
NCT05234970 nacompletednot on this mapstarted 2022, after this paper: background citation

iWellness Study: Evaluation of a CBT Chatbot App to Promote Mental Wellness in Students

TypeinterventionalSponsorHarvard UniversityRan2022 to 2022Enrolled289ConditionsDepression, AnxietyArmsWysa, Harvard College App
3 · Its place in the literature

Who cites it

192 citing papers in PubMed, 19 syntheses or guidelines pooled it, 416 citations in OpenAlex.

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132 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Patricia A AreanDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-5971-6319
Kevin A HallgrenDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-8386-3984
Joshua T JordanDepartment of Neurology, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4714-1893
Adam GazzaleyDepartment of Neurology, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-1232-9431
David C AtkinsDepartment of Biostatistics in the School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-5781-9880
Patrick J HeagertyDepartment of Biostatistics in the School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-3851-2664
Joaquin A AngueraDepartment of Neurology, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-7216-0674
University of Washington · USUniversity of California, San Francisco · US

Funding

Treating Depression in Low-Income Elderly with CIND/AMCIK24MH074717 · NIMH · UNIVERSITY OF WASHINGTON · PI AREAN, PATRICIA A. · 2005 to 2016
$1.7M
Can Metal Health Apps Work in the Real World? A Feasibility Pilot StudyR34MH100466 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANGUERA, JOAQUIN A, GAZZALEY, ADAM H · 2013 to 2015
$818k
NIMH NIH HHS K24 MH074717NIMH NIH HHS R34 MH100466
6 · The paper itself

Abstract

backgroundMobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes.

objectiveThe objective of our study was to document and compare use patterns and clinical outcomes across the United States between 3 different self-guided mobile apps for depression.

methodsParticipants were recruited through Web-based advertisements and social media and were randomly assigned to 1 of 3 mood apps. Treatment and assessment were conducted remotely on each participant's smartphone or tablet with minimal contact with study staff. We enrolled 626 English-speaking adults (≥18 years old) with mild to moderate depression as determined by a 9-item Patient Health Questionnaire (PHQ-9) score ≥5, or if their score on item 10 was ≥2. The apps were (1) Project: EVO, a cognitive training app theorized to mitigate depressive symptoms by improving cognitive control, (2) iPST, an app based on an evidence-based psychotherapy for depression, and (3) Health Tips, a treatment control. Outcomes were scores on the PHQ-9 and the Sheehan Disability Scale. Adherence to treatment was measured as number of times participants opened and used the apps as instructed.

resultsWe randomly assigned 211 participants to iPST, 209 to Project: EVO, and 206 to Health Tips. Among the participants, 77.0% (482/626) had a PHQ-9 score >10 (moderately depressed). Among the participants using the 2 active apps, 57.9% (243/420) did not download their assigned intervention app but did not differ demographically from those who did. Differential treatment effects were present in participants with baseline PHQ-9 score >10, with the cognitive training and problem-solving apps resulting in greater effects on mood than the information control app (χ22=6.46, P=.04).

conclusionsMobile apps for depression appear to have their greatest impact on people with more moderate levels of depression. In particular, an app that is designed to engage cognitive correlates of depression had the strongest effect on depressed mood in this sample. This study suggests that mobile apps reach many people and are useful for more moderate levels of depression. CLINICALTRIAL: Clinicaltrials.gov NCT00540865; https://www.clinicaltrials.gov/ct2/show/NCT00540865 (Archived by WebCite at http://www.webcitation.org/6mj8IPqQr).

Indexed as

AdultDepressionFemaleHumansMaleMobile ApplicationsPsychotherapySurveys and QuestionnairesTreatment Outcomecognitive trainingdepressioniPSTmobile appsproblem-solving therapyrandomized controlled trialRCT

Identifiers

PMID27998876
PMCPMC5209607
OpenAlexW2563766843

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.