Evidence map›Paper›PMID 33822737›Full record

ArticleJournal of medical Internet research2021

Rise in Use of Digital Mental Health Tools and Technologies in the United States During the COVID-19 Pandemic: Survey Study.

Dara H Sorkin, Emily A Janio, Elizabeth V Eikey, Margaret Schneider, Katelyn Davis, Stephen M Schueller, Nicole A Stadnick, Kai Zheng, Martha Neary, David Safani and 1 more

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT05832632 nacompletednot on this map

A Randomized Controlled Trial Comparing 3 Formats of Mindfulness Interventions to an Active Control Intervention in a Population With Elevated Levels of Stress: Effects of Subjective and Physiological Stress

TypeinterventionalSponsorUniversity of Southern DenmarkRan2021 to 2023Enrolled225ConditionsPsychological Stress, Physiological StressArmsHeadspace Basics Program, Headspace Breathing Exercises, Headspace Stress Program, Active Control (Audiobook)
NCT07532551 narecruitingnot on this mapstarted 2026, after this paper: background citation

Assessing the Clinical and Cost Effectiveness of Internet-Based Cognitive Behavioural Therapy (iCBT) for Anxiety and Depression in Singapore

TypeinterventionalSponsorNational University of SingaporeRan2026 to 2028Enrolled390ConditionsDepression and/or Anxiety in the Mild-to-moderate Range, Cognitive Behavioral TherapyArmsInternet-delivered cognitive behavioural therapy (iCBT)
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

11 authors.

Dara H SorkinDepartment of Medicine, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0003-0742-9240
Emily A JanioDepartment of Medicine, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0002-2221-0805
Elizabeth V EikeyHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA, United States.ORCID 0000-0002-3099-8081
Margaret SchneiderDepartment of Public Health, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0002-8314-0732
Katelyn DavisDepartment of Pathology, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4570-4234
Stephen M SchuellerDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0002-1003-0399
Nicole A StadnickDepartment of Psychiatry, University of California, San Diego, San Diego, CA, United States.ORCID 0000-0001-6520-2920
Kai ZhengDepartment of Informatics, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0003-4121-4948
Martha NearyDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0002-1253-3459
David SafaniDepartment of Psychiatry, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0003-0219-4462
Dana B MukamelDepartment of Medicine, University of California, Irvine, Irvine, CA, United States.ORCID 0000-0003-4147-5785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccompanying the rising rates of reported mental distress during the COVID-19 pandemic has been a reported increase in the use of digital technologies to manage health generally, and mental health more specifically.

objectiveThe objective of this study was to systematically examine whether there was a COVID-19 pandemic-related increase in the self-reported use of digital mental health tools and other technologies to manage mental health.

methodsWe analyzed results from a survey of 5907 individuals in the United States using Amazon Mechanical Turk (MTurk); the survey was administered during 4 week-long periods in 2020 and survey respondents were from all 50 states and Washington DC. The first set of analyses employed two different logistic regression models to estimate the likelihood of having symptoms indicative of clinical depression and anxiety, respectively, as a function of the rate of COVID-19 cases per 10 people and survey time point. The second set employed seven different logistic regression models to estimate the likelihood of using seven different types of digital mental health tools and other technologies to manage one's mental health, as a function of symptoms indicative of clinical depression and anxiety, rate of COVID-19 cases per 10 people, and survey time point. These models also examined potential interactions between symptoms of clinical depression and anxiety, respectively, and rate of COVID-19 cases. All models controlled for respondent sociodemographic characteristics and state fixed effects.

resultsHigher COVID-19 case rates were associated with a significantly greater likelihood of reporting symptoms of depression (odds ratio [OR] 2.06, 95% CI 1.27-3.35), but not anxiety (OR 1.21, 95% CI 0.77-1.88). Survey time point, a proxy for time, was associated with a greater likelihood of reporting clinically meaningful symptoms of depression and anxiety (OR 1.19, 95% CI 1.12-1.27 and OR 1.12, 95% CI 1.05-1.19, respectively). Reported symptoms of depression and anxiety were associated with a greater likelihood of using each type of technology. Higher COVID-19 case rates were associated with a significantly greater likelihood of using mental health forums, websites, or apps (OR 2.70, 95% CI 1.49-4.88), and other health forums, websites, or apps (OR 2.60, 95% CI 1.55-4.34). Time was associated with increased odds of reported use of mental health forums, websites, or apps (OR 1.20, 95% CI 1.11-1.30), phone-based or text-based crisis lines (OR 1.20, 95% CI 1.10-1.31), and online, computer, or console gaming/video gaming (OR 1.12, 95% CI 1.05-1.19). Interactions between COVID-19 case rate and mental health symptoms were not significantly associated with any of the technology types.

conclusionsFindings suggested increased use of digital mental health tools and other technologies over time during the early stages of the COVID-19 pandemic. As such, additional effort is urgently needed to consider the quality of these products, either by ensuring users have access to evidence-based and evidence-informed technologies and/or by providing them with the skills to make informed decisions around their potential efficacy.

Indexed as

Mental HealthAdultCOVID-19FemaleHumansMaleMental DisordersMental Health ServicesPandemicsSARS-CoV-2Surveys and QuestionnairesTechnologyTelemedicineUnited StatesanxietyCOVID-19depressiondigital healthdigital technologiesdistresse-mental healthmental healthmHealthMTurkself-management

Identifiers

PMID33822737
PMCPMC8054774

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.