Evidence map›Paper›PMID 37338967›Full record

ArticleJMIR formative research2023

Understanding Users' Experiences of a Novel Web-Based Cognitive Behavioral Therapy Platform for Depression and Anxiety: Qualitative Interviews From Pilot Trial Participants.

Jane Shkel, Gavin Green, Stacey Le, Benjamin Kaveladze, Veronique Marcotte, Kevin Rushton, Theresa Nguyen, Stephen M Schueller

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

8 authors.

Jane ShkelDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0009-0001-6274-5222
Gavin GreenDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0009-0005-6520-405X
Stacey LeDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0009-0002-4477-6065
Benjamin KaveladzeDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0001-7289-5040
Veronique MarcotteDepartment of Medicine, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0009-0007-9648-8686
Kevin RushtonMental Health America, Alexandria, VA, United States.ORCID https://orcid.org/0009-0009-1637-5943
Theresa NguyenMental Health America, Alexandria, VA, United States.ORCID https://orcid.org/0000-0001-9218-3198
Stephen M SchuellerDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-1003-0399

Funding

A Crowd-Powered Technological Treatment for Depression and AnxietyR34MH113616 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI SCHUELLER, STEPHEN · 2019 to 2021
$679k
NIMH NIH HHS R34 MH113616
6 · The paper itself

Abstract

backgroundDigital mental health interventions (DMHIs) can help bridge the gap between the demand for mental health care and availability of treatment resources. The affordances of DMHIs have been proposed to overcome barriers to care such as accessibility, cost, and stigma. Despite these proposals, most evaluations of the DMHI focus on clinical effectiveness, with less consideration of users' perspectives and experiences.

objectiveWe conducted a pilot randomized controlled trial of "Overcoming Thoughts," a web-based platform that uses cognitive and behavioral principles to address depression and anxiety. The "Overcoming Thoughts" platform included 2 brief interventions-cognitive restructuring and behavioral experimentation. Users accessed either a version that included asynchronous interactions with other users ("crowdsourced" platform) or a completely self-guided version (control condition). We aimed to understand the users' perspectives and experiences by conducting a subset of interviews during the follow-up period of the trial.

methodsWe used purposive sampling to select a subset of trial participants based on group assignment (treatment and control) and symptom improvement (those who improved and those who did not on primary outcomes). We conducted semistructured interviews with 23 participants during the follow-up period that addressed acceptability, usability, and impact. We conducted a thematic analysis of the interviews until saturation was reached.

resultsA total of 8 major themes were identified: possible opportunities to expand the platform; improvements in mental health because of using the platform; increased self-reflection skills; platform being more helpful for certain situations or domains; implementation of skills into users' lives, even without direct platform use; increased coping skills because of using the platform; repetitiveness of platform exercises; and use pattern. Although no differences in themes were found among groups based on improvement status (all P values >.05, ranging from .12 to .86), there were 4 themes that differed based on conditions (P values from .01 to .046): helpfulness of self-reflection supported by an exercise summary (greater in control); aiding in slowing thoughts and feeling calmer (greater in control); overcoming patterns of avoidance (greater in control); and repetitiveness of content (greater in the intervention).

conclusionsWe identified the different benefits that users perceived from a novel DMHI and opportunities to improve the platform. Interestingly, we did not note any differences in themes between those who improved and those who did not, but we did find some differences between those who received the control and intervention versions of the platform. Future research should continue to investigate users' experiences with DMHIs to better understand the complex dynamics of their use and outcomes.

Indexed as

anxietyclinical trialcognitive behavioral therapydepressiondigital mental health interventioninterventionqualitative research

Identifiers

PMID37338967
PMCPMC10337366

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.