ArticleInternational journal of qualitative studies on health and well-being2026
The benefits and future potential of generative artificial intelligence (GAI) on mental health: a Delphi study.
Article in International journal of qualitative studies on health and well-being, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- A scoping review on the mental health harms of LLM-based chatbots.NPJ digital medicine · 2026Article
- Large language models for late-life depression: a blinded benchmark of clinical safety, geriatric appropriateness, and triage.Frontiers in psychiatry · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study explores expert consensus on the benefits and future potential of generative artificial intelligence (GAI) in mental health care, using the Technology Acceptance Model (TAM) to interpret these perceptions.
methodsA two-round Delphi study using a mixed-methods design was conducted with 15 purposively selected experts in psychiatry, clinical psychology, counselling, and digital mental health. Round 1 gathered open-ended responses that were thematically analysed to identify benefit and future-potential dimensions. In Round 2, experts ranked these dimensions, and consensus was assessed using Kendall's coefficient of concordance.
resultsTwenty-eight themes were identified across eight benefit dimensions, and 29 themes across eight future-potential dimensions. Statistically significant consensus was achieved for both benefits (W = 0.145, DISCUSSION: Experts perceived GAI as a transformative adjunct to mental health practice, particularly in expanding access, supporting personalised care, and augmenting professional capacity. Adoption is contingent on usability, transparency, trust, and robust ethical governance to ensure equitable and human-centred integration.
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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.