SynthesisBMC medical ethics2023
Shared decision making and advance care planning: a systematic literature review and novel decision-making model.
Synthesis in BMC medical ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Early and simultaneous palliative care in cancer patients: an overview.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Pooled it
- Ethical challenges in acute geriatric care and advance care planning: a nested qualitative study.European geriatric medicine · 2026Article
- The Shared Document as a Tool for Shared Care Planning: A Retrospective Analysis of 160 Cases.Healthcare (Basel, Switzerland) · 2026Article
- Shared Decision Making and Advance Care Planning in the Context of Promoting Home Medical Care in Japan: A Narrative Review.Geriatrics & gerontology international · 2026Review
- Factors impacting the delivery of contextualized care in serious illness: a focus group study with healthcare professionals.BMC medicine · 2026Article
- Shared Decision-Making with Palliative Care Specialist.Journal of hospice and palliative care · 2025Review
- Advance care planning for adults with cancer.The Cochrane database of systematic reviews · 2025Article
- Insights of shared decision-making and personalized treatment in orthopedics - A qualitative systematic review.Journal of clinical orthopaedics and trauma · 2025Article
- The conflict between oral health and patient autonomy in dentistry: a scoping review.BMC medical ethics · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsShared decision making (SDM) and advance care planning (ACP) are important evidence and ethics based concepts that can be translated in communication tools to aid the treatment decision-making process. Although both have been recommended in the care of patients with risks of complications, they have not yet been described as two components of one single process. In this paper we aim to (1) assess how SDM and ACP is being applied, choosing patients with aortic stenosis with high and moderate treatment complication risks such as bleeding or stroke as an example, and (2) propose a model to best combine the two concepts and integrate them in the care process.
methodsIn order to assess how SDM and ACP is applied in usual care, we have performed a systematic literature review. The included studies have been analysed by means of thematic analysis as well as abductive reasoning to determine which SDM and ACP steps are applied as well as to propose a model of combining the two concepts into one process.
resultsThe search in Medline, Cinahl, Embase, Scopus, Web of science, Psychinfo and Cochrane revealed 15 studies. Eleven describe various steps of SDM while four studies discuss the documentation of goals of care. Based on the review results and existing evidence we propose a model that combines SDM and ACP in one process for a complete patient informed choice.
conclusionTo be able to make informed choices about immediate and future care, patients should be engaged in both SDM and ACP decision-making processes. This allows for an iterative process in which each important decision-maker can share their expertise and concerns regarding the care planning and advance care planning. This would help to better structure and prioritize information while creating a trustful and respectful relationship between the participants. PROSPERO 2019. CRD42019124575.
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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.