ReviewInternational journal of geriatric psychiatry2010
Shared decision-making in the primary care treatment of late-life major depression: a needed new intervention?
Review in International journal of geriatric psychiatry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Effectiveness of Shared Decision-Making for Elderly Depressed Minority Primary Care Patients.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2019Trial
- Self-stigmatization and treatment preferences: Measuring the impact of treatment labels on choices for depression medications.PloS one · 2024Article
- Comparison of analog and digital patient decision aids for the treatment of depression: a scoping review.Frontiers in digital health · 2023Article
- The role of depression pharmacogenetic decision support tools in shared decision making.Journal of neural transmission (Vienna, Austria : 1996) · 2019Review
- Advances in Psychotherapy for Depressed Older Adults.Current psychiatry reports · 2017Review
- Older Adults' Perspectives on Clinical Research: A Focus Group and Survey Study.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2016Article
- Article
- Directions for Effectiveness Research to Improve Health Services for Late-Life Depression in the United States.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2016Review
- Engaging stakeholders to develop a depression management decision support tool in a tribal health system.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
- Designing personalized treatment engagement interventions for depressed older adults.The Psychiatric clinics of North America · 2011Review
- Preferences for depression treatment among elderly home health care patients.Psychiatric services (Washington, D.C.) · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveWe suggest that clinicians consider models of shared decision-making (SDM) for their potential ability to improve the treatment of major depression in the primary care setting and overcome limitations of collaborative care and other interventions.
methodsWe explore the characteristics and techniques of patient-clinician SDM, with particular emphasis on this model's relevance to the unique treatment concerns of depressed older adults.
resultsWe describe a SDM intervention to engage older adults in depression treatment in the primary care sector.
conclusionsIt is timely to examine SDM models for elderly depressed primary care patients given their potential ability to improve treatment adherence and clinical outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.