Shared Decision-Making for Patients Hospitalized with Acute Myocardial Infarction: A Randomized Trial.

acute myocardial infarction adherence randomized trial shared decision making

Journal

Patient preference and adherence
ISSN: 1177-889X
Titre abrégé: Patient Prefer Adherence
Pays: New Zealand
ID NLM: 101475748

Informations de publication

Date de publication:
2022
Historique:
received: 23 02 2022
accepted: 19 05 2022
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 9 6 2022
Statut: epublish

Résumé

Adherence to guideline-recommended medications after acute myocardial infarction (AMI) is suboptimal. Patient fidelity to treatment regimens may be related to their knowledge of the risk of death following AMI, the pros and cons of medications, and to their involvement in treatment decisions. Shared decision-making may improve both patients' knowledge and involvement in treatment decisions. In a pilot trial, patients hospitalized with AMI were randomized to the use of the Patient knowledge of the expected survival benefit from taking medications was significantly higher (62% vs 16%, The NCT00888537.

Identifiants

pubmed: 35673524
doi: 10.2147/PPA.S363528
pii: 363528
pmc: PMC9167591
doi:

Banques de données

ClinicalTrials.gov
['NCT00888537']

Types de publication

Case Reports Clinical Trial

Langues

eng

Pagination

1395-1404

Informations de copyright

© 2022 Branda et al.

Déclaration de conflit d'intérêts

Dr Megan Coylewright reports Funding for research and consulting from Edwards Lifesciences, Boston Scientific, Medtronic, Abbott, Occlutech, and CardioSmart, outside the submitted work. The authors report no other conflicts of interest about this work.

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Auteurs

Megan E Branda (ME)

Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Marleen Kunneman (M)

Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Medical Decision Making, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands.

Alejandra I Meza-Contreras (AI)

Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.

Nilay D Shah (ND)

Delta Air Lines, Atlanta, GA, USA.

Erik P Hess (EP)

Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Annie LeBlanc (A)

Faculty of Medicine, Laval University, Quebec City, Quebec, Canada.

Jane A Linderbaum (JA)

Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.

Danika M Nelson (DM)

Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.

Margaret R Mc Donah (MR)

Mayo Clinic Health System, Mayo Clinic, Rochester, MN, USA.

Carrie Sanvick (C)

Department of Nursing, Mayo Clinic, Rochester, MN, USA.

Holly K Van Houten (HK)

Robert D and Patricia E Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.

Megan Coylewright (M)

Section of Cardiovascular Medicine, Erlanger Heart and Lung Institute, Chattanooga, TN, USA.

Sara R Dick (SR)

Education Project Management Office, Mayo Clinic, Rochester, MN, USA.

Henry H Ting (HH)

Delta Air Lines, Atlanta, GA, USA.

Victor M Montori (VM)

Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN, USA.

Classifications MeSH