Evidence map›Paper›PMID 36191176›Full record

Trial reportJMIR mHealth and uHealth2022

Effectiveness of Mental Health Apps for Distress During COVID-19 in US Unemployed and Essential Workers: Remote Pragmatic Randomized Clinical Trial.

Katherine Anne Comtois, Felicia Mata-Greve, Morgan Johnson, Michael D Pullmann, Brittany Mosser, Patricia Arean

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

Trial report in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04536935 (Acceptability, Usability and Effectiveness of Mental Health Apps for Suicide Prevention in Essential Workers and the Unemployed During SARS-CoV-2), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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.

NCT04536935 nacompletednot on this map

Acceptability, Usability and Effectiveness of Mental Health Apps for Suicide Prevention in Essential Workers and the Unemployed During SARS-CoV-2

TypeinterventionalSponsorUniversity of WashingtonRan2020 to 2021Enrolled838ConditionsDepression, Anxiety, Emotional RegulationArmsMobile Mental Health App - 1, Mobile Mental Health App - 2, Mobile Mental Health App - 3, Mobile Mental Health App - 4
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  14. Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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 1 institution in 1 country.

Katherine Anne ComtoisAdvanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0003-0398-4108
Felicia Mata-GreveAdvanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0002-6218-2917
Morgan JohnsonAdvanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0002-2081-6176
Michael D PullmannAdvanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-8404-864X
Brittany MosserAdvanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0003-0670-3412
Patricia AreanAdvanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-5971-6319
University of Washington · US

Funding

UW ALACRITY Center for Psychosocial Interventions ResearchP50MH115837 · NIMH · UNIVERSITY OF WASHINGTON · PI Michael David Pullmann · 2018 to 2026
$18.2M
NIMH NIH HHS P50 MH115837
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, the general public was concerned about the mental health impacts of unemployment due to COVID-19 and the stress essential workers experienced during this time. Several reports indicated that people in distress were turning to digital technology, but there was little evidence about the impact of these tools on mitigating distress.

objectiveThis study seeks to determine the acceptability, feasibility, usability, and effectiveness of mobile mental health apps for decreasing mental health symptoms in essential workers and unemployed individuals with suicide risk.

methodsWe recruited participants who indicated that they were unemployed because of COVID-19 or were COVID-19-designated essential workers. Participants were randomized to 1 of 4 free commercial mobile apps for managing distress that were (1) highly rated by PsyberGuide and (2) met the criteria for intervention features these participants indicated were desirable in a previous survey. Participants used the apps for 4 weeks and completed baseline and 4-week self-assessments of depression, anxiety emotional regulation, and suicide risk.

resultsWe found no differences between the apps in any outcome but did find significant changes in depression and anxiety over time (Patient Health Questionnaire [PHQ]-9: estimate=-1.5, SE 0.2, 95% CI -1.1 to -1.8, P<.001; Generalized Anxiety Disorder Scale [GAD]-7: estimate=-1.3, SE 0.2, 95% CI -1.0 to -1.6, P<.001). We found no significant changes in suicidal behavior (Suicide Behaviors Questionnaire-Revised [SBQ-R]) or emotional regulation (Difficulties in Emotion Regulation Scale - Short Form [DERS-SF]) for the 4 weeks. We did find a significant dose-response pattern for changes in depression and anxiety. Using the app at least once a week resulted in greater improvements in treatment conditions over time on depression (estimate=-0.6, SE 0.2, 95% CI 1.0-0.2, P=.003) and anxiety (estimate=0.1, SE 0.2, 95% CI 0.4-0.6, P=.78). There was no association between app frequency and changes in suicidal behavior (SBQ-R) or emotional regulation (DERS-SF). We further found a significant difference between the conditions with regard to app usability, with the control app being the most usable (mean

conclusionsFew studies have evaluated prospectively the utility and usability of commercial apps for mood. This study found that free, self-guided commercial mobile mental health apps are seen as usable, but no one app is superior to the other. Although we found that regular use is indicated for effects on depression and anxiety to occur in those who are more symptomatic, regression to the mean cannot be ruled out.

trial registrationClinicalTrials.gov NCT04536935; https://tinyurl.com/mr36zx3s.

Indexed as

COVID-19Mobile ApplicationsHumansMental HealthPandemicsUnemploymentanxietycommercial appcoronavirusCOVIDCOVID-19depressiondistressemployeeemploymentessential workerfrontline staffhealth apphealth care providerhealth care workerjobmental healthmental health appsmHealthmobile appmobile healthoccupational healthpandemicpragmatic trialrandomizedRCTSARS-CoV-2stresssuicidalsuicideunemployedworker

Identifiers

PMID36191176
PMCPMC9642829
OpenAlexW4301392656

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.