Assessment of Shared Decision-making for Stroke Prevention in Patients With Atrial Fibrillation: A Randomized Clinical Trial.


Journal

JAMA internal medicine
ISSN: 2168-6114
Titre abrégé: JAMA Intern Med
Pays: United States
ID NLM: 101589534

Informations de publication

Date de publication:
01 09 2020
Historique:
entrez: 8 9 2020
pubmed: 9 9 2020
medline: 10 4 2021
Statut: ppublish

Résumé

Shared decision-making (SDM) about anticoagulant treatment in patients with atrial fibrillation (AF) is widely recommended but its effectiveness is unclear. To assess the extent to which the use of an SDM tool affects the quality of SDM and anticoagulant treatment decisions in at-risk patients with AF. This encounter-randomized trial recruited patients with nonvalvular AF who were considering starting or reviewing anticoagulant treatment and their clinicians at academic, community, and safety-net medical centers between January 30, 2017 and June 27, 2019. Encounters were randomized to either the standard care arm or care that included the use of an SDM tool (intervention arm). Data were analyzed from August 1 to November 30, 2019. Standard care or care using the Anticoagulation Choice Shared Decision Making tool (which presents individualized risk estimates and compares anticoagulant treatment options across issues of importance to patients) during the clinical encounter. Quality of SDM (which included quality of communication, patient knowledge about AF and anticoagulant treatment, accuracy of patient estimates of their own stroke risk [within 30% of their estimate], decisional conflict, and satisfaction), decisions made during the encounter, duration of the encounter, and clinician involvement of patients in the SDM process. The clinical trial enrolled 922 patients (559 men [60.6%]; mean [SD] age, 71 [11] years) and 244 clinicians. A total of 463 patients were randomized to the intervention arm and 459 patients to the standard care arm. Participants in both arms reported high communication quality, high knowledge, and low decisional conflict, demonstrated low accuracy in their risk perception, and would similarly recommend the approach used in their encounter. Clinicians were significantly more satisfied after intervention encounters (400 of 453 encounters [88.3%] vs 277 of 448 encounters [61.8%]; adjusted relative risk, 1.49; 95% CI, 1.42-1.53). A total of 747 of 873 patients (85.6%) chose to start or continue receiving an anticoagulant medication. Patient involvement in decision-making (as assessed through video recordings of the encounters using the Observing Patient Involvement in Decision Making 12-item scale) scores were significantly higher in the intervention arm (mean [SD] score, 33.0 [10.8] points vs 29.1 [13.1] points, respectively; adjusted mean difference, 4.2 points; 95% CI, 2.8-5.6 points). No significant between-arm difference was found in encounter duration (mean [SD] duration, 32 [16] minutes in the intervention arm vs 31 [17] minutes in the standard care arm; adjusted mean between-arm difference, 1.1; 95% CI, -0.3 to 2.5 minutes). The use of an SDM encounter tool improved several measures of SDM quality and clinician satisfaction, with no significant effect on treatment decisions or encounter duration. These results help to calibrate expectations about the value of implementing SDM tools in the care of patients with AF. ClinicalTrials.gov Identifier: NCT02905032.

Identifiants

pubmed: 32897386
pii: 2770473
doi: 10.1001/jamainternmed.2020.2908
pmc: PMC7372497
doi:

Substances chimiques

Anticoagulants 0

Banques de données

ClinicalTrials.gov
['NCT02905032']

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1215-1224

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL131535
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002377
Pays : United States

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Auteurs

Marleen Kunneman (M)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.

Megan E Branda (ME)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Department of Biostatistics and Informatics, Colorado School of Public Health, Anschutz Medical Campus, University of Colorado Denver, Aurora.
Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Ian G Hargraves (IG)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.

Angela L Sivly (AL)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.

Alexander T Lee (AT)

Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Haeshik Gorr (H)

Division of General Internal Medicine, Hennepin Health, Minneapolis, Minnesota.

Bruce Burnett (B)

Thrombosis Clinic and Anticoagulation Services, Park Nicollet Health Services, St Louis Park, Minnesota.

Takeki Suzuki (T)

Division of Cardiology, Department of Medicine, University of Mississippi Medical Center, Jackson.

Elizabeth A Jackson (EA)

Department of Internal Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham.

Erik Hess (E)

Department of Emergency Medicine, University of Alabama at Birmingham, Birmingham.

Mark Linzer (M)

Division of General Internal Medicine, Hennepin Health, Minneapolis, Minnesota.

Sarah R Brand-McCarthy (SR)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.

Juan P Brito (JP)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.

Peter A Noseworthy (PA)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.
Heart Rhythm Services, Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota.

Victor M Montori (VM)

Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.

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