ArticleFrontiers in digital health2023
Comparison of analog and digital patient decision aids for the treatment of depression: a scoping review.
Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient decision aids in breast surgery and breast reconstruction reduce decisional conflict: a systematic review and meta-analysis.Breast cancer research and treatment · 2025Pooled it
- A randomized controlled trial of an electronic patient decision aid (PDA) for decision-making around antidepressant use in pregnancy.Archives of women's mental health · 2026Trial
- Impact of a Digital Decision Aid When Choosing Between Face-to-Face and Guided Internet-Based Psychological Interventions for Depression Among Chinese-Speaking Participants in Hong Kong: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Social Media as a Double-Edged Sword in Sports Nutrition Dissemination: Opportunities, Challenges, and Pathways Forward.Current nutrition reports · 2026Review
- From Paper to Pixels: Digital Transition of a Patient Decision Aid-A Pilot Study.Mayo Clinic proceedings. Digital health · 2025Article
- Development of web- and mobile-based shared decision-making tools in the neurological intensive care unit.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis.JMIR mental health · 2024Article
- Implementing an Asthma Patient Decision Aid in Primary Care: A Qualitative Study of Clinicians' and Patients' Perspectives on Its Sustainability.Journal of primary care & community healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Patient decision aids (PDAs) are important tools to empower patients and integrate their preferences and values in the decision-making process. Even though patients with mental health problems have a strong interest in being more involved in decision making about their treatment, research has mainly focused on PDAs for somatic conditions. In this scoping review, we focus on patients suffering from depression and the role of PDAs for this patient group. The review offers an overview of digital and analog PDAs, their advantages and disadvantages as well as recommendations for further research and development. Methods: A systematic search of the existing literature guided by the Cochrane Handbook for Systematic Reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses - extension for scoping reviews (PRISMA-ScR) was conducted. Three electronic literature databases with the appropriate thematic focus were searched (PubMed, PsycInfo, and Web of Science). The search strategy used controlled and natural language to search for the key concepts decision aids and depression. The articles were selected in a two-step process guided by predefined inclusion and exclusion criteria. We narratively synthetized information extracted from 40 research articles. Results: We included 40 articles in our review. Our review revealed that there is more focus on digital PDAs in research than in clinical practice. Digitalization can enhance the benefits of PDAs by developing tools that are more efficient, interactive, and personalized. The main disadvantages of both types of PDAs for the treatment of depression are related to time, dissemination, and capacity building for the health care providers. Digital PDAs need to be regularly updated, effective strategies for their dissemination and acceptance need to be identified, and clinicians need sufficient training on how to use digital PDAs. There is more research needed to study which forms of PDAs are most appropriate for various patient groups (e.g., older adults, or patients with comorbidities), and to identify the most effective ways of PDAs' integration in the clinical workflow. The findings from our review could be well aligned with the International Patient Decision Aids Standards. Discussion: More research is needed regarding effective strategies for the implementation of digital PDAs into the clinical workflow, ethical issues raised by the digital format, and opportunities of tailoring PDAs for diverse patient groups.
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