Evidence map›Paper›PMID 39924298›Full record

SynthesisJMIR mental health2025

Does the Digital Therapeutic Alliance Exist? Integrative Review.

Amylie Malouin-Lachance, Julien Capolupo, Chloé Laplante, Alexandre Hudon

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Are Psychiatry Faculty Prepared to Guide AI Use? A National Survey.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026
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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

4 authors.

Amylie Malouin-LachanceDépartement de psychiatrie, Université Laval, Québec City, QC, Canada.ORCID 0009-0005-9821-7295
Julien CapolupoFaculté de Médecine, Université Laval, Québec City, QC, Canada.ORCID 0009-0001-7108-8455
Chloé LaplanteDepartment of Psychiatry, Institut universitaire en santé mentale de Montréal, Montreal, QC, Canada.ORCID 0009-0007-0658-2469
Alexandre HudonDepartment of Psychiatry, Institut universitaire en santé mentale de Montréal, Montreal, QC, Canada.ORCID 0000-0002-4868-0928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health disorders significantly impact global populations, prompting the rise of digital mental health interventions, such as artificial intelligence (AI)-powered chatbots, to address gaps in access to care. This review explores the potential for a "digital therapeutic alliance (DTA)," emphasizing empathy, engagement, and alignment with traditional therapeutic principles to enhance user outcomes. Objective: The primary objective of this review was to identify key concepts underlying the DTA in AI-driven psychotherapeutic interventions for mental health. The secondary objective was to propose an initial definition of the DTA based on these identified concepts. Methods: The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for scoping reviews and Tavares de Souza's integrative review methodology were followed, encompassing systematic literature searches in Medline, Web of Science, PsycNet, and Google Scholar. Data from eligible studies were extracted and analyzed using Horvath et al's conceptual framework on a therapeutic alliance, focusing on goal alignment, task agreement, and the therapeutic bond, with quality assessed using the Newcastle-Ottawa Scale and Cochrane Risk of Bias Tool. Results: A total of 28 studies were identified from an initial pool of 1294 articles after excluding duplicates and ineligible studies. These studies informed the development of a conceptual framework for a DTA, encompassing key elements such as goal alignment, task agreement, therapeutic bond, user engagement, and the facilitators and barriers affecting therapeutic outcomes. The interventions primarily focused on AI-powered chatbots, digital psychotherapy, and other digital tools. Conclusions: The findings of this integrative review provide a foundational framework for the concept of a DTA and report its potential to replicate key therapeutic mechanisms such as empathy, trust, and collaboration in AI-driven psychotherapeutic tools. While the DTA shows promise in enhancing accessibility and engagement in mental health care, further research and innovation are needed to address challenges such as personalization, ethical concerns, and long-term impact.

Indexed as

Artificial IntelligenceDigital HealthMental DisordersPsychotherapyTherapeutic AllianceHumansartificial intelligencechatbotdigital interventionsmental healthpsychiatrypsychologypsychotherapytherapeutic alliance

Identifiers

PMID39924298
PMCPMC11830484

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.