Evidence map›Paper›PMID 40660205›Full record

ArticleBMC public health2025

How do users of a mental health app conceptualise digital therapeutic alliance? A qualitative study using the framework approach.

Theresa Taylor, Simon D'Alfonso, Maria João Tralhão Dolan, Jenny Yiend, Pamela Jacobsen

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Article in BMC public health, 2025. 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.

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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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

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4 · The record

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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.

Theresa TaylorDepartment of Psychology, University of Bath, Bath, UK.
Simon D'AlfonsoSchool of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
Maria João Tralhão DolanDepartment of Psychology, University of Bath, Bath, UK.
Jenny YiendInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Pamela JacobsenDepartment of Psychology, University of Bath, Bath, UK. pcj25@bath.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-guided mental health smartphone applications (apps) have the potential to increase access to evidence-based psychological interventions and reduce the burden on staff resources in strained mental health services. Within human-delivered therapy, the working relationship (therapeutic alliance) between the client and therapist is well studied and has been consistently linked to effective and engaging therapy. However, less is known about whether a digital therapeutic alliance exists, what its components may be, and how it can be fostered to improve engagement and adherence to smartphone applications. This study explored the experiences of users of a mental health app to better understand digital therapeutic alliance and how persuasive systems design may help us understand which features of app design influence this relationship.

methodsWe conducted a qualitative study using semi-structured interviews with 13 participants who had recent experiences of using the STOP app which targets paranoia. Data were analyzed using framework analysis with therapeutic alliance and persuasive systems design as deductive theoretical frameworks.

resultsWe constructed five dimensions of digital therapeutic alliance: 1) Humanness of the app, 2) Personal meaningfulness, 3) Progression towards goals, 4) How is it to use the app, and 5) Flexibility enhances relationship. Themes 1-4 map onto the existing dimensions of therapeutic alliance, and Theme 5 (Flexibility enhances relationship) provides the context within which a digital therapeutic alliance forms. Persuasive systems design features were found to reinforce and enhance aspects of digital therapeutic alliance.

conclusionsThis study provides valuable insight into the existence of digital therapeutic relationships (alliance) and its dimensions. From our findings, there are indicators that digital therapeutic alliance is a digital analogue of therapeutic alliance and is enhanced by persuasive features of the app. Findings from this study could be used to inform the design of mental health apps to enhance their capacity to foster digital therapeutic alliance with users, with the supposition that as with the traditional therapeutic alliance, its digital counterpart is also conducive to better efficacy in mental health apps.

Indexed as

Mobile ApplicationsTherapeutic AllianceAdultFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchSmartphoneDigital therapeutic allianceMobile phonePersuasive systems designSelf-guided mental health smartphone applicationTherapeutic allianceUnguided digital intervention

Identifiers

PMID40660205
PMCPMC12257784

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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.