Evidence map›Paper›PMID 40850916›Full record

ArticleBMJ open2025

Self-disclosure and relational agents for mental health: a scoping review protocol.

Sia Sha, Kate Loveys, Isla Francis, Eric Ji, Leo Lyu, Dario Krpan, Matteo Maria Galizzi, Mark Taylor

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Sia ShaThe London School of Economics and Political Science, London, UK.ORCID http://orcid.org/0009-0000-2027-1316
Kate LoveysThe University of Auckland, Auckland, New Zealand.
Isla FrancisGoldsmiths University of London, London, UK.
Eric JiThe London School of Economics and Political Science, London, UK.
Leo LyuThe London School of Economics and Political Science, London, UK.
Dario KrpanThe London School of Economics and Political Science, London, UK.
Matteo Maria GalizziThe London School of Economics and Political Science, London, UK m.m.galizzi@lse.ac.uk.
Mark TaylorGoldsmiths University of London, London, UK.ORCID http://orcid.org/0000-0002-3287-8956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRelational agents are an innovative form of Artificial Intelligence (AI) that can help address waiting times for mental health services. They often appear in the form of chatbots that provide responses to patient questions via web or mobile interfaces, and they seek to build long-term relationships with patients. Effective self-disclosure is key for therapeutic outcomes, and we are therefore conducting a scoping review to map the literature on self-disclosure to relational agents for mental health.

methodsOur work will follow guidance by the Joanna Briggs Institute and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews. We will systematically search Ovid Medline, Ovid Embase, Ovid Emcare, Ovid PsycINFO, Ovid Global Health, EBSCO CINAHL, Scopus, Web of Science and ProQuest Dissertations & Theses Global. Two reviewers will independently screen titles and abstracts as well as full texts of potential studies in Covidence. Both qualitative and quantitative studies from all countries published in English will be eligible. We will then provide a narrative synthesis of the results along with data tables. ETHICS AND DISSEMINATION: Our scoping review does not require ethical approval. We will publish results in a peer-reviewed journal and during conference presentations. TRIAL REGISTRATION NUMBER: Open Science Framework (https://osf.io/wf4aq).

Indexed as

Artificial IntelligenceMental HealthMental Health ServicesSelf DisclosureHumansResearch DesignScoping Reviews as TopicHealth informaticsMENTAL HEALTHPublic health

Identifiers

PMID40850916
PMCPMC12382548

What OpenQuestion holds

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LicenceCC BY
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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.