Evidence map›Paper›PMID 29875087›Full record

ArticleJournal of medical Internet research2018

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews.

Katarzyna Stawarz, Chris Preist, Debbie Tallon, Nicola Wiles, David Coyle

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article 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 NCT05997849 (Development of a Multiplatform Mobile Tool for the Prevention of Mental Health Pathologies in Chilean Adults), which is not on this map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
19.0field-weighted citation impact, top 1% 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.

NCT05997849 nacompletednot on this mapstarted 2023, after this paper: background citation

Development of a Multiplatform Mobile Tool for the Prevention of Mental Health Pathologies in Chilean Adults

TypeinterventionalSponsorUniversity of TalcaRan2023 to 2025Enrolled56ConditionsDepression, AnxietyArmsMobile application
3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 219 citations in OpenAlex.

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  3. Evaluating Commercially Available Mobile Apps for Depression Self-Management.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
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17 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

5 authors at 3 institutions in 2 countries.

Katarzyna Stawarz *Bristol Interaction Group, Faculty of Engineering, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-9021-0615
Chris Preist *Bristol Interaction Group, Faculty of Engineering, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-5094-5294
Debbie TallonCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-9195-5010
Nicola WilesCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-5250-3553
David Coyle *School of Computer Science, University College Dublin, Dublin, Ireland.ORCID 0000-0002-5103-0379
University of Bristol · GBUniversity College Dublin · IEUniversity Hospitals Bristol NHS Foundation Trust · GB

Funding

Department of Health RP-PG-0514-20012
6 · The paper itself

Abstract

backgroundHundreds of mental health apps are available to the general public. With increasing pressures on health care systems, they offer a potential way for people to support their mental health and well-being. However, although many are highly rated by users, few are evidence-based. Equally, our understanding of what makes apps engaging and valuable to users is limited.

objectiveThe aim of this paper was to analyze functionality and user opinions of mobile apps purporting to support cognitive behavioral therapy for depression and to explore key factors that have an impact on user experience and support engagement.

methodsWe systematically identified apps described as being based on cognitive behavioral therapy for depression. We then conducted 2 studies. In the first, we analyzed the therapeutic functionality of apps. This corroborated existing work on apps' fidelity to cognitive behavioral therapy theory, but we also extended prior work by examining features designed to support user engagement. Engagement features found in cognitive behavioral therapy apps for depression were compared with those found in a larger group of apps that support mental well-being in a more general sense. Our second study involved a more detailed examination of user experience, through a thematic analysis of publicly available user reviews of cognitive behavioral therapy apps for depression.

resultsWe identified 31 apps that purport to be based on cognitive behavioral therapy for depression. Functionality analysis (study 1) showed that they offered an eclectic mix of features, including many not based on cognitive behavioral therapy practice. Cognitive behavioral therapy apps used less varied engagement features compared with 253 other mental well-being apps. The analysis of 1287 user reviews of cognitive behavioral therapy apps for depression (study 2) showed that apps are used in a wide range of contexts, both replacing and augmenting therapy, and allowing users to play an active role in supporting their mental health and well-being. Users, including health professionals, valued and used apps that incorporated both core cognitive behavioral therapy and non-cognitive behavioral therapy elements, but concerns were also expressed regarding the unsupervised use of apps. Positivity was seen as important to engagement, for example, in the context of automatic thoughts, users expressed a preference to capture not just negative but also positive ones. Privacy, security, and trust were crucial to the user experience.

conclusionsCognitive behavioral therapy apps for depression need to improve with respect to incorporating evidence-based cognitive behavioral therapy elements. Equally, a positive user experience is dependent on other design factors, including consideration of varying contexts of use. App designers should be able to clearly identify the therapeutic basis of their apps, but they should also draw on evidence-based strategies to support a positive and engaging user experience. The most effective apps are likely to strike a balance between evidence-based cognitive behavioral therapy strategies and evidence-based design strategies, including the possibility of eclectic therapeutic techniques.

Indexed as

Cognitive Behavioral TherapyDepressionHumansMobile ApplicationsTelemedicinecognitive behavioral therapydepressionmental healthmHealthmobile appsuser experience

Identifiers

PMID29875087
PMCPMC6010839
OpenAlexW2805939587

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.