Evidence map›Paper›PMID 38029300›Full record

ArticleJMIR mHealth and uHealth2024

Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data.

Paul Farrand, Patrick J Raue, Earlise Ward, Dean Repper, Jonathan Baker, Patricia Areán

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% 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.

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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Paul Farrand *Clinical Education, Development and Research, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.ORCID 0000-0001-7898-5362
Patrick J Raue *AIMS CENTER, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0003-1086-9925
Earlise Ward *School of Medicine and Public Health, Carbone Comprehensive Cancer Center, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0009-0003-5345-8971
Dean Repper *Trent PTS, Improving Access to Psychological Therapies, Derby, United Kingdom.ORCID 0009-0006-1501-0414
Jonathan Baker *Iona Mind Inc, Romford, United Kingdom.ORCID 0009-0000-9923-5042
Patricia Areán *AIMS CENTER, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID 0000-0001-5971-6319
University of Washington · USUniversity of Exeter · GBUniversity of Wisconsin–Madison · US

Funding

University of Washington Developmental AIDS Research Center for Mental Health (UW ARCH)P30MH123248 · NIMH · UNIVERSITY OF WASHINGTON · PI RAO, DEEPA · 2021 to 2024
$5.8M
NIMH NIH HHS P30 MH123248
6 · The paper itself

Abstract

backgroundLow-intensity cognitive behavioral therapy (LICBT) has been implemented by the Improving Access to Psychological Therapies services across England to manage excessive worry associated with generalized anxiety disorder and support emotional well-being. However, barriers to access limit scalability. A solution has been to incorporate LICBT techniques derived from an evidence-based protocol within the Iona Mind Well-being app for Worry management (IMWW) with support provided through an algorithmically driven conversational agent.

objectiveThis study aims to examine engagement with a mobile phone app to support worry management with specific attention directed toward interaction with specific LICBT techniques and examine the potential to reduce symptoms of anxiety.

methodsLog data were examined with respect to a sample of "engaged" users who had completed at least 1 lesson related to the Worry Time and Problem Solving in-app modules that represented the "minimum dose." Paired sample 2-tailed t tests were undertaken to examine the potential for IMWW to reduce worry and anxiety, with multivariate linear regressions examining the extent to which completion of each of the techniques led to reductions in worry and anxiety.

resultsThere was good engagement with the range of specific LICBT techniques included within IMWW. The vast majority of engaged users were able to interact with the cognitive behavioral therapy model and successfully record types of worry. When working through Problem Solving, the conversational agent was successfully used to support the user with lower levels of engagement. Several users engaged with Worry Time outside of the app. Forgetting to use the app was the most common reason for lack of engagement, with features of the app such as completion of routine outcome measures and weekly reflections having lower levels of engagement. Despite difficulties in the collection of end point data, there was a significant reduction in severity for both anxiety (t

conclusionsEngaged users were able to successfully interact with the LICBT-specific techniques informed by an evidence-based protocol although there were lower completion rates of routine outcome measures and weekly reflections. Successful interaction with the specific techniques potentially contributes to promising data, indicating that IMWW may be effective in the management of excessive worry. A relationship between dose and improvement justifies the use of log data to inform future developments. However, attention needs to be directed toward enhancing interaction with wider features of the app given that larger improvements were associated with greater engagement.

Indexed as

Cognitive Behavioral TherapyMobile ApplicationsAnxietyAnxiety DisordersHumansOutcome Assessment, Health CareanxietyappapplicationCBTcognitive behavioral therapyengagementimplementationlog datalow-intensitymanagementmCBTsymptomstherapytreatmentworryworry management

Identifiers

PMID38029300
PMCPMC10809068
OpenAlexW4389110498

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.