Development of a digital therapeutic alliance scale (MM-DTA) in the context of fully automated mental health apps

Therapeutic alliance (TA) refers to the relationship between a therapist and a client in face-to-face therapy and is an essential ingredient in successful psychological therapy outcomes. With the availability of fully automated apps, the question arises as to whether there is an analogous notion of a digital therapeutic alliance (DTA), and whether and how it plays a role in usage and outcomes of digital health interventions. Recent work has demonstrated that the DTA comprises five dimensions. Through a two-phase process, we have developed a preliminary scale to quantitatively capture this conceptualisation. Phase 1 described the process of scale development and involved three steps: item generation; content validity establishment; and face validity establishment. Phase 2 was a pilot test of the scale in two studies: a cross-sectional survey of mindfulness apps (sample size, n = 542), and a 30-day study with an evidence-based mental health app (sample size, n = 58). Reliability was assessed using internal consistency and intra-class correlation. We also explored convergent, predictive, and discriminant validity. Following the two phases, we developed a 39-item DTA scale that is reliable and demonstrates good face, content and convergent validity. This new DTA scale, grounded in people's experiences of using mental health apps, provides a valuable tool for evaluating mental health apps.<br/><br/>

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Publication Details

Journal
Behaviour and Information Technology
Published
2025-02-26
DOI
https://doi.org/10.1080/0144929x.2025.2469672
Citations
2
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
3.09

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article

Development of a digital therapeutic alliance scale (MM-DTA) in the context of fully automated mental health apps

Simon D’Alfonso, Katherine Berry, Sandra Bucci, Fangziyun Tong et al.
2 citations
Behaviour and Information Technology
Digital Mental Health Interventions
3.09
article

Development of a digital therapeutic alliance scale (MM-DTA) in the context of fully automated mental health apps

Simon D’Alfonso, Katherine Berry, Sandra Bucci, Fangziyun Tong, Reeva Lederman
article en
2 citations

Abstract

Therapeutic alliance (TA) refers to the relationship between a therapist and a client in face-to-face therapy and is an essential ingredient in successful psychological therapy outcomes. With the availability of fully automated apps, the question arises as to whether there is an analogous notion of a digital therapeutic alliance (DTA), and whether and how it plays a role in usage and outcomes of digital health interventions. Recent work has demonstrated that the DTA comprises five dimensions. Through a two-phase process, we have developed a preliminary scale to quantitatively capture this conceptualisation. Phase 1 described the process of scale development and involved three steps: item generation; content validity establishment; and face validity establishment. Phase 2 was a pilot test of the scale in two studies: a cross-sectional survey of mindfulness apps (sample size, n = 542), and a 30-day study with an evidence-based mental health app (sample size, n = 58). Reliability was assessed using internal consistency and intra-class correlation. We also explored convergent, predictive, and discriminant validity. Following the two phases, we developed a 39-item DTA scale that is reliable and demonstrates good face, content and convergent validity. This new DTA scale, grounded in people's experiences of using mental health apps, provides a valuable tool for evaluating mental health apps.<br/><br/>

Behaviour and Information TechnologyVol. 44(17)
Greater Manchester Mental Health NHS Foundation Trust (GB), The University of Melbourne (AU), University of Manchester (GB)
National Institute for Health and Care Research, University of Manchester, University of Melbourne, Manchester Biomedical Research Centre
Openalex Percentile: Top 10%
Digital Mental Health Interventions
3.09
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