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Ozanne EM, Barnes GD, Brito JP, Cameron KA, Cavanaugh KL, Greene T, Jackson EA, Montori VM, Steinberg BA, Witt DM, Noseworthy P, Passman RS, Kansal P, Crossley G, Roden DM, Christensen JT, Ariotti A, Jones AE, Bardsley T, Wu C, Fagerlin A. Effectiveness of shared decision making strategies for stroke prevention among patients with atrial fibrillation: cluster randomized controlled trial. BMJ 2025; 388:e079976. [PMID: 39788611 PMCID: PMC11713231 DOI: 10.1136/bmj-2024-079976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/06/2024] [Indexed: 01/12/2025]
Abstract
OBJECTIVE To evaluate the effectiveness of multiple decision aid strategies in promoting high quality shared decision making for prevention of stroke in patients with non-valvular atrial fibrillation. DESIGN Cluster randomized controlled trial. SETTING Six academic medical centers in the United States. PARTICIPANTS Patient participants were aged ≥18 with a diagnosis of non-valvular atrial fibrillation, at risk for stroke (CHA2DS2-VASc ≥1 for men, ≥2 for women), and scheduled for a clinical appointment to discuss stroke prevention strategies. Participating clinicians were those who manage stroke prevention strategies for participating patients. INTERVENTION Patients were randomized to use a patient decision aid or usual care; clinicians were randomized to use an encounter decision aid or usual care with all participating patients. MAIN OUTCOME MEASURES Primary outcome measures were quality of shared decision making measured by OPTION12, knowledge of atrial fibrillation and its management, and decisional conflict. RESULTS 1117 participants across six sites were included in the analysis. Compared with usual care, the combined use of both the patient decision aid and the encounter decision aid improved the quality of shared decision making (adjusted mean difference 12.1 (95% confidence interval (CI) 8.0 to 16.2; P<0.001), improved patients' knowledge (odds ratio 1.68 (95% CI 1.35 to 2.09; P<0.001), and reduced patients' decisional conflict (adjusted mean difference -6.3 (95% CI -9.6 to -3.1; P<0.001). Statistically significant improvements were also observed with the encounter decision aid alone versus usual care for all three outcomes and with the patient decision aid alone versus usual care for quality of shared decision making and knowledge. No important differences were observed in treatment choices for stroke prevention or in participants' satisfaction. No statistically significant difference in the length of visit across study groups was detected. CONCLUSION Patients who received any decision aid (encounter decision aid, patient decision aid, or both) had lower decisional conflict, better shared decision making, and greater knowledge than those receiving no decision aid, except for the effect of the patient decision aid on decisional conflict, which did not reach statistical significance. The study establishes that use of either pre-visit or in-visit decision aids individually or in combination is advantageous compared with usual care. TRIAL REGISTRATION ClinicalTrials.gov NCT04357288.
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Affiliation(s)
- Elissa M Ozanne
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Geoffrey D Barnes
- Frankel Cardiovascular Center, Center for Bioethics and Social Science in Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Juan P Brito
- Division of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN, USA
| | - Kenzie A Cameron
- Division of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kerri L Cavanaugh
- Division of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tom Greene
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Jackson
- Department of Medicine, Division of Cardiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | - Benjamin A Steinberg
- Division of Cardiovascular Medicine, University of Utah Health Sciences Center, Salt Lake City, UT, USA
| | - Daniel M Witt
- Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, UT, USA
| | - Peter Noseworthy
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Rod S Passman
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Preeti Kansal
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - George Crossley
- Vanderbilt Heart Vascular Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dan M Roden
- Pharmacology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN, USA
| | | | - Anthony Ariotti
- Population Health Sciences, University of Utah Health, Salt Lake City, UT, USA
| | - Aubrey E Jones
- College of Pharmacy, Department of Pharmacotherapy, University of Utah, Salt Lake City, UT, USA
| | - Tyler Bardsley
- Division of Epidemiology, Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Chaorong Wu
- Division of Epidemiology, Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah, Salt Lake City VA Informatics, Decision-Enhancement and Analytic Sciences, Salt Lake City, UT, USA
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Nayak T, Christensen JT, Bardsley T, Barnes GD, Cameron KA, Passman R, Kansal P, Witt DM, Cavanaugh KL, Fagerlin A, Ozanne EM. Evaluation of patient and encounter decision aid interventions for atrial fibrillation: Baseline characteristics of the RED-AF study - A Randomized Controlled Trial. Contemp Clin Trials 2025; 148:107773. [PMID: 39645031 DOI: 10.1016/j.cct.2024.107773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 11/18/2024] [Accepted: 11/29/2024] [Indexed: 12/09/2024]
Abstract
BACKGROUND The Randomized Evaluation of Decision Support Interventions for Atrial Fibrillation (RED-AF) trial is a multi-site, randomized controlled clinical trial examining the effectiveness of a patient decision aid and an encounter decision aid in promoting shared decision-making (SDM) during a clinical encounter for patients with atrial fibrillation (AF). We sought to describe baseline characteristics of patients and clinicians in the trial and compare them to the demographics of the larger AF population. We also conducted an analysis of possible predictors of attrition rates at baseline, 6 and 12 months. METHODS This study was a multi-center randomized controlled trial conducted at six academic centers across the U.S. Patients with non-valvular AF who qualify for anticoagulation therapy were eligible for enrollment. Patient demographics and characteristics were evaluated via questionnaires after their baseline clinical encounter. Participating clinicians completed demographic surveys, reporting educational background, specialty, and years of experience. Patient characteristics were analyzed via univariate logistic regression to identify potential trends among those lost to follow-up at each timepoint. FINDINGS A total of 1117 patients were enrolled in the RED-AF trial, with an average age of 69 (SD 9.3). Patients were predominantly male (61.7 %) and white (89.1 %), with 33.7 % reporting graduate or professional education. Clinicians (N = 107) were enrolled from specialties including cardiology (68.2 %), internal medicine (13.1 %), and pharmacy (14.0 %). No significant associations were found between any measured patient characteristics with survey completion at baseline, 6 or 12 months. CONCLUSION The baseline demographics of the RED-AF trial reflect that patient participants were largely similar to prior studies investigating shared-decision making in patients with AF. The lack of association between patient demographics and attrition rates may highlight equity across the tested subgroups for survey completion for the study as a whole.
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Affiliation(s)
- Tanvi Nayak
- Northwestern University Feinberg School of Medicine, USA
| | - Joshua T Christensen
- Department of Population Health Sciences, University of Utah School of Medicine, USA
| | - Tyler Bardsley
- Department of Population Health Sciences, University of Utah School of Medicine, USA
| | - Geoffrey D Barnes
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, USA
| | - Kenzie A Cameron
- Division of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, USA
| | - Rod Passman
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, USA
| | - Preeti Kansal
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, USA
| | - Daniel M Witt
- Department of Population Health Sciences, University of Utah School of Medicine, USA; Department of Pharmacotherapy, University of Utah College of Pharmacy, USA
| | - Kerri L Cavanaugh
- Division of Nephrology & Hypertension, Department of Medicine, Vanderbilt University Medical Center, USA
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah School of Medicine, USA
| | - Elissa M Ozanne
- Department of Population Health Sciences, University of Utah School of Medicine, USA.
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Christensen J, Fagerlin A, Beck K, Ozanne EM. Encounter versus patient decision aids to enhance shared decision-making. BMJ Evid Based Med 2024:bmjebm-2024-113208. [PMID: 39797675 DOI: 10.1136/bmjebm-2024-113208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/22/2024] [Indexed: 01/13/2025]
Affiliation(s)
| | | | - Kirstin Beck
- University of Utah Health, Salt Lake City, Utah, USA
| | - Elissa M Ozanne
- Department of Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA
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Parks AL, Frankel DS, Kim DH, Ko D, Kramer DB, Lydston M, Fang MC, Shah SJ. Management of atrial fibrillation in older adults. BMJ 2024; 386:e076246. [PMID: 39288952 DOI: 10.1136/bmj-2023-076246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/19/2024]
Abstract
Most people with atrial fibrillation are older adults, in whom atrial fibrillation co-occurs with other chronic conditions, polypharmacy, and geriatric syndromes such as frailty. Yet most randomized controlled trials and expert guidelines use an age agnostic approach. Given the heterogeneity of aging, these data may not be universally applicable across the spectrum of older adults. This review synthesizes the available evidence and applies rigorous principles of aging science. After contextualizing the burden of comorbidities and geriatric syndromes in people with atrial fibrillation, it applies an aging focused approach to the pillars of atrial fibrillation management, describing screening for atrial fibrillation, lifestyle interventions, symptoms and complications, rate and rhythm control, coexisting heart failure, anticoagulation therapy, and left atrial appendage occlusion devices. Throughout, a framework is suggested that prioritizes patients' goals and applies existing evidence to all older adults, whether atrial fibrillation is their sole condition, one among many, or a bystander at the end of life.
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Affiliation(s)
- Anna L Parks
- University of Utah, Division of Hematology and Hematologic Malignancies, Salt Lake City, UT, USA
| | - David S Frankel
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Dae H Kim
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA
| | - Darae Ko
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA
- Richard A and Susan F Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center; Boston Medical Center, Section of Cardiovascular Medicine, Boston, MA, USA
| | - Daniel B Kramer
- Richard A and Susan F Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Melis Lydston
- Massachusetts General Hospital, Treadwell Virtual Library, Boston, MA, USA
| | - Margaret C Fang
- University of California, San Francisco, Division of Hospital Medicine, San Francisco, CA, USA
| | - Sachin J Shah
- Massachusetts General Hospital, Division of General Internal Medicine, Center for Aging and Serious Illness, and Harvard Medical School, Boston, MA, USA
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Perpetua EM, Palmer R, Le VT, Al-Khatib SM, Beavers CJ, Beckman JA, Bozkurt B, Coylewright M, Lloyd Doherty C, Guibone KA, Hawkey M, Keegan PA, Kirkpatrick JN, Laperle J, Lauck SB, Levine G, Lindman BR, Mack MJ, Price AL, Strong S, Wyman JF, Youmans QR, Gulati M. JACC: Advances Expert Panel Perspective: Shared Decision-Making in Multidisciplinary Team-Based Cardiovascular Care. JACC. ADVANCES 2024; 3:100981. [PMID: 39130036 PMCID: PMC11312306 DOI: 10.1016/j.jacadv.2024.100981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/25/2024] [Accepted: 02/28/2024] [Indexed: 08/13/2024]
Abstract
Shared decision-making (SDM) and multidisciplinary team-based care delivery are recommended across several cardiology clinical practice guidelines. However, evidence for benefit and guidance on implementation are limited. Informed consent, the use of patient decision aids, or the documentation of these elements for governmental or societal agencies may be conflated as SDM. SDM is a bidirectional exchange between experts: patients are the experts on their goals, values, and preferences, and clinicians provide their expertise on clinical factors. In this Expert Panel perspective, we review the current state of SDM in team-based cardiovascular care and propose best practice recommendations for multidisciplinary team implementation of SDM.
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Affiliation(s)
- Elizabeth M. Perpetua
- Empath Health Services, Seattle, Washington, USA
- School of Nursing, Department of Biobehavioral Nursing and Informatics, University of Washington, Seattle, Washington, USA
| | - Roseanne Palmer
- Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Viet T. Le
- Intermountain Health, Salt Lake City, Utah, USA
| | - Sana M. Al-Khatib
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Craig J. Beavers
- University of Kentucky College of Pharmacy, Lexington, Kentucky, USA
| | - Joshua A. Beckman
- Southwestern Medical Center, University of Texas, Dallas, Texas, USA
| | | | | | | | | | - Marian Hawkey
- Hackensack University Medical Center, Heart and Vascular Hospital, Hackensack, New Jersey, USA
| | - Patricia A. Keegan
- Columbia University Irving Medical Center, Center of Interventional Therapy, New York, New York, USA
| | - James N. Kirkpatrick
- Emory Healthcare, Heart and Vascular, Atlanta, Georgia, USA
- Departments of Medicine and Bioethics and Humanities, Division of Cardiology, University of Washington, Seattle, Washington, USA
| | - Jessica Laperle
- Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Sandra B. Lauck
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Brian R. Lindman
- Vanderbilt University Medical Center, Division of Cardiovascular Medicine, Nashville, Tennessee, USA
| | | | | | | | - Janet F. Wyman
- Department of Structural Heart, Division of Cardiovascular Medicine, Henry Ford health System, Detroit, Michigan, USA
| | - Quentin R. Youmans
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Martha Gulati
- Preventive Cardiology, Barbra Streisand Women's Heart Center, Preventive and Cardiac Rehabilitation Center, Women's Cardiovascular Medicine & Research, Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA
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Joglar JA, Chung MK, Armbruster AL, Benjamin EJ, Chyou JY, Cronin EM, Deswal A, Eckhardt LL, Goldberger ZD, Gopinathannair R, Gorenek B, Hess PL, Hlatky M, Hogan G, Ibeh C, Indik JH, Kido K, Kusumoto F, Link MS, Linta KT, Marcus GM, McCarthy PM, Patel N, Patton KK, Perez MV, Piccini JP, Russo AM, Sanders P, Streur MM, Thomas KL, Times S, Tisdale JE, Valente AM, Van Wagoner DR. 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2024; 149:e1-e156. [PMID: 38033089 PMCID: PMC11095842 DOI: 10.1161/cir.0000000000001193] [Citation(s) in RCA: 837] [Impact Index Per Article: 837.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
AIM The "2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation" provides recommendations to guide clinicians in the treatment of patients with atrial fibrillation. METHODS A comprehensive literature search was conducted from May 12, 2022, to November 3, 2022, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. Additional relevant studies, published through November 2022, during the guideline writing process, were also considered by the writing committee and added to the evidence tables, where appropriate. STRUCTURE Atrial fibrillation is the most sustained common arrhythmia, and its incidence and prevalence are increasing in the United States and globally. Recommendations from the "2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" and the "2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing atrial fibrillation and thromboembolic risk assessment, anticoagulation, left atrial appendage occlusion, atrial fibrillation catheter or surgical ablation, and risk factor modification and atrial fibrillation prevention have been developed.
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Affiliation(s)
| | | | | | | | | | | | - Anita Deswal
- ACC/AHA Joint Committee on Clinical Practice Guidelines liaison
| | | | | | | | | | - Paul L Hess
- ACC/AHA Joint Committee on Performance Measures liaison
| | | | | | | | | | - Kazuhiko Kido
- American College of Clinical Pharmacy representative
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7
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Joglar JA, Chung MK, Armbruster AL, Benjamin EJ, Chyou JY, Cronin EM, Deswal A, Eckhardt LL, Goldberger ZD, Gopinathannair R, Gorenek B, Hess PL, Hlatky M, Hogan G, Ibeh C, Indik JH, Kido K, Kusumoto F, Link MS, Linta KT, Marcus GM, McCarthy PM, Patel N, Patton KK, Perez MV, Piccini JP, Russo AM, Sanders P, Streur MM, Thomas KL, Times S, Tisdale JE, Valente AM, Van Wagoner DR. 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2024; 83:109-279. [PMID: 38043043 PMCID: PMC11104284 DOI: 10.1016/j.jacc.2023.08.017] [Citation(s) in RCA: 278] [Impact Index Per Article: 278.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2023]
Abstract
AIM The "2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Patients With Atrial Fibrillation" provides recommendations to guide clinicians in the treatment of patients with atrial fibrillation. METHODS A comprehensive literature search was conducted from May 12, 2022, to November 3, 2022, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. Additional relevant studies, published through November 2022, during the guideline writing process, were also considered by the writing committee and added to the evidence tables, where appropriate. STRUCTURE Atrial fibrillation is the most sustained common arrhythmia, and its incidence and prevalence are increasing in the United States and globally. Recommendations from the "2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" and the "2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing atrial fibrillation and thromboembolic risk assessment, anticoagulation, left atrial appendage occlusion, atrial fibrillation catheter or surgical ablation, and risk factor modification and atrial fibrillation prevention have been developed.
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León-García M, Humphries B, Morales PR, Gravholt D, Eckman MH, Bates SM, Suárez NRE, Xie F, Perestelo-Pérez L, Alonso-Coello P. Assessment of a venous thromboembolism prophylaxis shared decision-making intervention (DASH-TOP) using the decisional conflict scale: a mixed-method study. BMC Med Inform Decis Mak 2023; 23:250. [PMID: 37932759 PMCID: PMC10629184 DOI: 10.1186/s12911-023-02349-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 10/21/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Venous thromboembolism (VTE) in pregnancy is a major cause of maternal morbidity and death. The use of low-molecular-weight heparin (LMWH), despite being the standard of care to prevent VTE, comes with some challenges. Shared decision-making (SDM) interventions are recommended to support patients and clinicians in making preference-sensitive decisions. The quality of the SDM process has been widely assessed with the decisional conflict scale (DCS). Our aim is to report participants' perspectives of each of the components of an SDM intervention (DASH-TOP) in relation to the different subscales of the DCS. METHODS Design: A convergent, parallel, mixed-methods design. PARTICIPANTS The sample consisted of 22 health care professionals, students of an Applied Clinical Research in Health Sciences (ICACS) master program. INTERVENTION We randomly divided the participants in three groups: Group 1 received one component (evidence -based information), Group 2 received two components (first component and value elicitation exercises), and Group 3 received all three components (the first two and a decision analysis recommendation) of the SDM intervention. ANALYSIS For the quantitative strand, we used a non-parametric test to analyze the differences in the DCS subscales between the three groups. For the qualitative strand, we conducted a content analysis using the decisional conflict domains to deductively categorize the responses. RESULTS Groups that received more intervention components experienced less conflict and better decision-making quality, although the differences between groups were not statistically significant. The decision analysis recommendation improved the efficacy with the decision-making process, however there are some challenges when implementing it in clinical practice. The uncertainty subscale showed a high decisional conflict for all three groups; contributing factors included low certainty of the evidence-based information provided and a perceived small effect of the drug to reduce the risk of a VTE event. CONCLUSIONS The DASH-TOP intervention reduced decisional conflict in the decision -making process, with decision analysis being the most effective component to improve the quality of the decision. There is a need for more implementation research to improve the delivery of SDM interventions in the clinical encounter.
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Affiliation(s)
- Montserrat León-García
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.
- Department of Pediatrics, Obstetrics, Gynaecology and Preventive Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain.
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Brittany Humphries
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Pablo Roca Morales
- Faculty of Health Sciences, Universidad Villanueva, Madrid, Spain
- School of Health Sciences, Valencian International University, Valencia, Spain
| | - Derek Gravholt
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Mark H Eckman
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Shannon M Bates
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Nataly R Espinoza Suárez
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA
- VITAM Research Center for Sustainable Health, Quebec City, Canada
- Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Feng Xie
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
- Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, ON, Canada
| | - Lilisbeth Perestelo-Pérez
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), Tenerife, Spain
- Network for Research On Chronicity, Primary Care, and Health Promotion (RICAPPS), Tenerife, Spain
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- CIBER of Epidemiology and Public Health, CIBERESP, Madrid, Spain
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Dennison Himmelfarb CR, Beckie TM, Allen LA, Commodore-Mensah Y, Davidson PM, Lin G, Lutz B, Spatz ES. Shared Decision-Making and Cardiovascular Health: A Scientific Statement From the American Heart Association. Circulation 2023; 148:912-931. [PMID: 37577791 DOI: 10.1161/cir.0000000000001162] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Shared decision-making is increasingly embraced in health care and recommended in cardiovascular guidelines. Patient involvement in health care decisions, patient-clinician communication, and models of patient-centered care are critical to improve health outcomes and to promote equity, but formal models and evaluation in cardiovascular care are nascent. Shared decision-making promotes equity by involving clinicians and patients, sharing the best available evidence, and recognizing the needs, values, and experiences of individuals and their families when faced with the task of making decisions. Broad endorsement of shared decision-making as a critical component of high-quality, value-based care has raised our awareness, although uptake in clinical practice remains suboptimal for a range of patient, clinician, and system issues. Strategies effective in promoting shared decision-making include educating clinicians on communication techniques, engaging multidisciplinary medical teams, incorporating trained decision coaches, and using tools (ie, patient decision aids) at appropriate literacy and numeracy levels to support patients in their cardiovascular decisions. This scientific statement shines a light on the limited but growing body of evidence of the impact of shared decision-making on cardiovascular outcomes and the potential of shared decision-making as a driver of health equity so that everyone has just opportunities. Multilevel solutions must align to address challenges in policies and reimbursement, system-level leadership and infrastructure, clinician training, access to decision aids, and patient engagement to fully support patients and clinicians to engage in the shared decision-making process and to drive equity and improvement in cardiovascular outcomes.
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Jones AE, McCarty MM, Cameron KA, Cavanaugh KL, Steinberg BA, Passman R, Kansal P, Guzman A, Chen E, Zhong L, Fagerlin A, Hargraves I, Montori VM, Brito JP, Noseworthy PA, Ozanne EM. Development of Complementary Encounter and Patient Decision Aids for Shared Decision Making about Stroke Prevention in Atrial Fibrillation. MDM Policy Pract 2023; 8:23814683231178033. [PMID: 38178866 PMCID: PMC10765759 DOI: 10.1177/23814683231178033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 04/06/2023] [Indexed: 01/06/2024] Open
Abstract
Introduction Decision aids (DAs) are helpful instruments used to support shared decision making (SDM). Patients with atrial fibrillation (AF) face complex decisions regarding stroke prevention strategies. While a few DAs have been made for AF stroke prevention, an encounter DA (EDA) and patient DA (PDA) have not been created to be used in conjunction with each other before. Design Using iterative user-centered design, we developed 2 DAs for anticoagulation choice and stroke prevention in AF. Prototypes were created, and we elicited feedback from patients and experts via observations of encounters, usability testing, and semistructured interviews. Results User testing was done with 33 experts (in AF and SDM) and 51 patients from 6 institutions. The EDA and PDA underwent 1 and 4 major iterations, respectively. Major differences between the DAs included AF pathophysiology and a preparation to meet with the clinician in the PDA as well as different language throughout. Content areas included personalized stroke risk, differences between anticoagulants, and risks of bleeding. Based on user feedback, developers 1) addressed feelings of isolation with AF, 2) improved navigation options, 3) modified content and flow for users new to AF and those experienced with AF, 4) updated stroke risk pictographs, and 5) added structure to the preparation for decision making in the PDA. Limitations These DAs focus only on anticoagulation for stroke prevention and are online, which may limit participation for those less comfortable with technology. Conclusions Designing complementary DAs for use in tandem or separately is a new method to support SDM between patients and clinicians. Extensive user testing is essential to creating high-quality tools that best meet the needs of those using them. Highlights First-time complementary encounter and patient decision aids have been designed to work together or separately.User feedback led to greater structure and different experiences for patients naïve or experienced with anticoagulants in patient decision aids.Online tools allow for easier dissemination, use in telehealth visits, and updating as new evidence comes out.
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Affiliation(s)
- Aubrey E. Jones
- College of Pharmacy, Department of Pharmacotherapy, University of Utah, Salt Lake City, UT, USA
| | - Madeleine M. McCarty
- School of Medicine, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Kenzie A. Cameron
- Feinberg School of Medicine, Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University, Chicago, IL, USA
| | - Kerri L. Cavanaugh
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Benjamin A. Steinberg
- School of Medicine, Division of Cardiovascular Medicine, University of Utah, Salt Lake City, UT, USA
| | - Rod Passman
- Feinberg School of Medicine, Department of Medicine, Division of Cardiology, Northwestern University, Chicago, IL, USA
| | - Preeti Kansal
- Feinberg School of Medicine, Department of Medicine, Division of Cardiology, Northwestern University, Chicago, IL, USA
| | - Adriana Guzman
- Feinberg School of Medicine, Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University, Chicago, IL, USA
| | - Emily Chen
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Lingzi Zhong
- School of Medicine, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Angela Fagerlin
- School of Medicine, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, UT, USA
| | - Ian Hargraves
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Victor M. Montori
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Juan P. Brito
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | | | - Elissa M. Ozanne
- School of Medicine, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
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