Evidence map›Paper›PMID 30093372›Full record

Trial reportJournal of medical Internet research2018

Using Mobile Apps to Assess and Treat Depression in Hispanic and Latino Populations: Fully Remote Randomized Clinical Trial.

Abhishek Pratap, Brenna N Renn, Joshua Volponi, Sean D Mooney, Adam Gazzaley, Patricia A Arean, Joaquin A Anguera

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01808976 (Can Mental Health Apps Work in the Real World? A Feasibility Pilot Study.), which is not on this map. Cited by 69 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 8 pooled it
9.0field-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.

NCT01808976 nacompletednot on this map

Can Mental Health Apps Work in the Real World? A Feasibility Pilot Study.

TypeinterventionalSponsorUniversity of California, San FranciscoRan2013 to 2017Enrolled1,000ConditionsMDDArmsProblem Solving Therapy, Evolution, Basic health push app
3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 8 syntheses or guidelines pooled it, 129 citations in OpenAlex.

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9 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 3 institutions in 1 country.

Abhishek PratapDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, United States.ORCID 0000-0002-5289-6932
Brenna N RennDepartment of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8746-171X
Joshua VolponiDepartment of Neurology, University of California San Francisco, San Francisco, WA, United States.ORCID 0000-0002-4986-0090
Sean D MooneyDepartment of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, United States.ORCID 0000-0003-2654-0833
Adam GazzaleyDepartment of Neurology, University of California San Francisco, San Francisco, WA, United States.ORCID 0000-0002-1232-9431
Patricia A AreanDepartment of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-5971-6319
Joaquin A AngueraDepartment of Neurology, University of California San Francisco, San Francisco, WA, United States.ORCID 0000-0002-7216-0674
University of California, San Francisco · USUniversity of Washington · USSage Bionetworks · US

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEAH S KARLINER · 1997 to 2026
$19.5M
Training Geriatric Mental Health Services ResearchersT32MH073553 · NIMH · DARTMOUTH-HITCHCOCK CLINIC · PI BRUCE, MARTHA L · 2005 to 2019
$6.4M
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
NIA NIH HHS P30 AG015272NIMH NIH HHS K24 MH074717NIMH NIH HHS R34 MH100466NIMH NIH HHS T32 MH073553
6 · The paper itself

Abstract

backgroundMost people with mental health disorders fail to receive timely access to adequate care. US Hispanic/Latino individuals are particularly underrepresented in mental health care and are historically a very difficult population to recruit into clinical trials; however, they have increasing access to mobile technology, with over 75% owning a smartphone. This technology has the potential to overcome known barriers to accessing and utilizing traditional assessment and treatment approaches.

objectiveThis study aimed to compare recruitment and engagement in a fully remote trial of individuals with depression who either self-identify as Hispanic/Latino or not. A secondary aim was to assess treatment outcomes in these individuals using three different self-guided mobile apps: iPST (based on evidence-based therapeutic principles from problem-solving therapy, PST), Project Evolution (EVO; a cognitive training app based on cognitive neuroscience principles), and health tips (a health information app that served as an information control).

methodsWe recruited Spanish and English speaking participants through social media platforms, internet-based advertisements, and traditional fliers in select locations in each state across the United States. Assessment and self-guided treatment was conducted on each participant's smartphone or tablet. We enrolled 389 Hispanic/Latino and 637 non-Hispanic/Latino adults with mild to moderate depression as determined by Patient Health Questionnaire-9 (PHQ-9) score≥5 or related functional impairment. Participants were first asked about their preferences among the three apps and then randomized to their top two choices. Outcomes were depressive symptom severity (measured using PHQ-9) and functional impairment (assessed with Sheehan Disability Scale), collected over 3 months. Engagement in the study was assessed based on the number of times participants completed active surveys.

resultsWe screened 4502 participants and enrolled 1040 participants from throughout the United States over 6 months, yielding a sample of 348 active users. Long-term engagement surfaced as a key issue among Hispanic/Latino participants, who dropped from the study 2 weeks earlier than their non-Hispanic/Latino counterparts (P<.02). No significant differences were observed for treatment outcomes between those identifying as Hispanic/Latino or not. Although depressive symptoms improved (beta=-2.66, P=.006) over the treatment course, outcomes did not vary by treatment app.

conclusionsFully remote mobile-based studies can attract a diverse participant pool including people from traditionally underserved communities in mental health care and research (here, Hispanic/Latino individuals). However, keeping participants engaged in this type of "low-touch" research study remains challenging. Hispanic/Latino populations may be less willing to use mobile apps for assessing and managing depression. Future research endeavors should use a user-centered design to determine the role of mobile apps in the assessment and treatment of depression for this population, app features they would be interested in using, and strategies for long-term engagement.

trial registrationClinicaltrials.gov NCT01808976; https://clinicaltrials.gov/ct2/show/NCT01808976 (Archived by WebCite at http://www.webcitation.org/70xI3ILkz).

Indexed as

AdultDepressionHispanic or LatinoHumansMobile ApplicationsPsychotherapyTreatment OutcomeYoung Adultclinical trialcognitiondepressionHispanicsLatinosmHealthminority groupsmobile appsproblem solvingsmartphone

Identifiers

PMID30093372
PMCPMC6107735
OpenAlexW2807418321

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.