ArticleJAMA cardiology2020
The Learning Curve for Shared Decision-making in Symptomatic Aortic Stenosis.
Article in JAMA cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Shared decision making and advance care planning: a systematic literature review and novel decision-making model.BMC medical ethics · 2023Pooled it
- Interventions to Facilitate Shared Decision-Making Using Decision Aids with Coronary Heart Disease Patients: Systematic Review and Meta-Analysis.Reviews in cardiovascular medicine · 2023Pooled it
- Pooled it
- Medical graphics to improve patient understanding and anxiety in elderly and cognitively impaired patients scheduled for transcatheter aortic valve implantation (TAVI).Clinical research in cardiology : official journal of the German Cardiac Society · 2025Trial
- Empowering choices: insights from healthcare professionals on shared decision-making in kidney cancer.BJU international · 2026Article
- Patient reported experience measures in TAVI procedures: VALVEX study.Journal of geriatric cardiology : JGC · 2025Article
- Comparative effectiveness of transcatheterWorld journal of cardiology · 2025Article
- Creating a Mammography Conversation Aid for Shared Decision-Making Between Clinicians and Women Aged 75 and Older.Journal of the American Geriatrics Society · 2025Article
- Review
- Risk Score for Prediction of Dialysis After Transcatheter Aortic Valve Replacement.Journal of the American Heart Association · 2024Article
- Article
- Current and future landscape of cardiogeriatrics.Future cardiology · 2024Article
- Shared Decision-making in Palliative and End-of-life Care in the Cardiac Intensive Care Unit.US cardiology · 2024Review
- Impact of reintervention after index aortic valve replacement on the risk of subsequent mortality.JTCVS open · 2023Article
- Patients' motivation to undergo transcatheter aortic valve replacement. A phenomenological hermeneutic study.International journal of older people nursing · 2023Article
- The Multidisciplinary Heart Team in Cardiovascular Medicine: Current Role and Future Challenges.JACC. Advances · 2023Review
- At the Crossroads of Minimally Invasive Mitral Valve Surgery-Benching Single Hospital Experience to a National Registry: A Plea for Risk Management Technology.Journal of cardiovascular development and disease · 2022Article
- Development and user-testing of a digital patient decision aid to facilitate shared decision-making for people with stable angina.BMC medical informatics and decision making · 2022Article
- What matters most to patients with severe aortic stenosis when choosing treatment? Framing the conversation for shared decision making.PloS one · 2022Article
- The Evolving Role of the Multidisciplinary Heart Team in Aortic Stenosis.US cardiology · 2022Review
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Shared decision-making (SDM) is widely advocated for patients with valvular heart disease yet is not integrated into the heart team model for patients with symptomatic aortic stenosis. Decision aids (DAs) have been shown to improve patient-centered outcomes and may facilitate SDM. Objective: To determine whether the repeated use of a DA by heart teams is associated with greater SDM, along with improved patient-centered outcomes and clinician attitudes about DAs. Design, Setting, and Participants: This mixed-methods study included a nonrandomized pre-post intervention and clinician interviews. It was conducted between April 30, 2015, and December 7, 2017, with quantitative analysis performed between January 12, 2017, and May 26, 2017, within 2 academic medical centers in northern New England among 35 patients with symptomatic aortic stenosis who were at high to prohibitive risk for surgery. The qualitative analysis was performed between August 6, 2018, and May 7, 2019. The Severe Aortic Stenosis Decision Aid was delivered by 6 clinicians, with patients choosing between transcatheter aortic valve replacement and medical management. Main Outcomes and Measures: Clinician SDM performance was measured using the Observer OPTION5 scale with dual-independent coding of audiotaped clinic visits. Previsit and postvisit surveys measured the patient's knowledge, satisfaction, and decisional conflict. Audiotaped clinician interviews were coded, and qualitative thematic analysis was performed. Results: Six male clinicians and 35 patients (19 of 34 women [55.9%; 1 survey was missing]; mean [SD] age, 85.8 [7.8] years) participated in the study. Shared decision-making increased stepwise with repeated use of the DA (mean [SD] Observer OPTION5 scores: usual care, 17.9 [7.6]; first use of a DA, 60.5 [30.9]; fifth use of a DA, 79.0 [8.4]; P < .001 for comparison between usual care and fifth use of DA). Multiple uses of the DA were associated with increased patient knowledge (mean difference, 18.0%; 95% CI, 1.2%-34.8%; P = .04) and satisfaction (mean difference, 6.7%; 95% CI, 2.5%-10.8%; P = .01) but not decisional conflict (mean [SD]: usual care, 96.0% [9.4%]; first use of DA, 93.8% [12.5%]; fifth use of DA, 95.0% [11.2%]; P = .60). Qualitative analysis of clinicians' interviews revealed that clinicians perceived that they used an SDM approach without DAs and that the DA was not well understood by elderly patients. There was infrequent values clarification or discussion of stroke risk. Conclusion and Relevance: In a mixed-methods pilot study, use of a DA for severe aortic stenosis by heart team clinicians was associated with improved SDM and patient-centered outcomes. However, in qualitative interviews, heart team clinicians did not perceive a significant benefit of the DA, and therefore sustained implementation is unlikely. This pilot study of SDM clarifies new research directions for heart teams.
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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.