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Classifying the features of digital mental health interventions to inform the development of a patient decision aid.

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Bibliographic Details
Title: Classifying the features of digital mental health interventions to inform the development of a patient decision aid.
Authors: Bradley G; Department of Social Work, Education and Community Wellbeing, Faculty of Health and Life Sciences, Northumbria University, United Kingdom., Rehackova L; Department of Nursing, Midwifery and Health, Faculty of Health and Life Sciences, Northumbria University, United Kingdom., Devereaux K; Psychological Wellbeing Practitioner, Newcastle upon Tyne, United Kingdom., Bruce TA; Department of Nursing, Midwifery and Health, Faculty of Health and Life Sciences, Northumbria University, United Kingdom., Nunn V; Patient and Public Involvement Contributor, Newcastle upon Tyne, United Kingdom., Gilfellon L; Everyturn Mental Health, Newcastle upon Tyne, United Kingdom., Burrows S; Patient and Public Involvement Contributor, Newcastle upon Tyne, United Kingdom., Cameron A; Recovery College Collective, Newcastle upon Tyne, United Kingdom., Watson R; Strathclyde Business School, University of Strathclyde, Glasgow, United Kingdom., Rumney K; Patient and Public Involvement Contributor, Newcastle upon Tyne, United Kingdom., Flynn D; Department of Nursing, Midwifery and Health, Faculty of Health and Life Sciences, Northumbria University, United Kingdom.
Source: PLOS digital health [PLOS Digit Health] 2025 Mar 26; Vol. 4 (3), pp. e0000752. Date of Electronic Publication: 2025 Mar 26 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2767-3170
DOI:10.1371/journal.pdig.0000752