ReviewThe patient2020
The Shared Decision-Making Process in the Pharmacological Management of Depression.
Review in The patient, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Shifting Perspectives on the Challenges of Shared Decision Making in Mental Health Care.Community mental health journal · 2024Pooled it
- Antidepressant and antipsychotic side-effects and personalised prescribing: a systematic review and digital tool development.The lancet. Psychiatry · 2023Pooled it
- 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
- Development and Evaluation of a Shared Decision-Making Patient Decision Aid for Dental Clinic Care: A Mixed-Methods Study.Health science reports · 2026Article
- Shared decision making in eating disorders: the patient and clinician perspectives.Frontiers in psychiatry · 2026Article
- The Decision-Making Process of Antidepressant Use Among Patients with Depression: A Grounded Theory Study.Patient preference and adherence · 2026Article
- Insights into prescribing patterns for antidepressants: an evidence-based analysis.BMC medical informatics and decision making · 2025Article
- Identifying what matters to adults with mobility limitations regarding their experiences with medications: A concept mapping study.PloS one · 2025Article
- Study of the correlations between loneliness, disease uncertainty, and perceived social support among elderly patients with digestive tract tumors during treatment.American journal of translational research · 2024Article
- Self-stigmatization and treatment preferences: Measuring the impact of treatment labels on choices for depression medications.PloS one · 2024Article
- User-Centered Design of a Digitally Enabled Care Pathway in a Large Health System: Qualitative Interview Study.JMIR human factors · 2023Article
- Design and Implementation of a Digitally Enabled Care Pathway to Improve Management of Depression in a Large Health Care System: Protocol for the Implementation of a Patient Care Platform.JMIR research protocols · 2023Article
- What Do Patients Want in the Treatment of Major Depressive Disorder? Taiwan's TAILOR Survey.Neurology and therapy · 2023Article
- Comparison of analog and digital patient decision aids for the treatment of depression: a scoping review.Frontiers in digital health · 2023Article
- An integrated precision medicine approach in major depressive disorder: a study protocol to create a new algorithm for the prediction of treatment response.Frontiers in psychiatry · 2023Article
- Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals.Evidence-based mental health · 2022Article
- Treatment decision-making process after an anterior cruciate ligament injury: patients', orthopaedic surgeons' and physiotherapists' perspectives.BMC musculoskeletal disorders · 2022Article
- Emotional blunting in patients with depression. Part IV: differences between patient and physician perceptions.Annals of general psychiatry · 2022Article
- Can the management of depression in type 2 diabetes be democratized?World journal of diabetes · 2022Review
- Respecting the Patient's Choice: A Case of Possible Drug-Induced Parkinsonism.Pharmacy (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shared decision making (SDM) is a model of interaction between doctors and patients in which both actors contribute to the medical decision-making process. There is an international consensus across medicine about the importance of SDM interventions, which have raised great interest in mental healthcare over the last decade. Yet SDM is not widely adopted, particularly in the field of psychiatry. The purpose of the present article is to examine, from a patient and physician perspective, the importance of SDM in the management of healthcare with a focus on mental health; it reviews the enablers and barriers (and how to overcome them) to implementing a SDM process in psychiatric practice. SDM models have been developed recently for involving patients with depression in the decision-making process, which could result in augmenting the proportion of patients who adhere to their antidepressant or other treatments for a duration that complies with the current recommendations. To implement this approach, more physicians need training in the SDM approach and access to appropriate tools that help engage in collaborative deliberation, and practice generally needs to be reorganized around the principles of patient engagement.
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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.