Literature DB >> 25690491

Developing an Atrial Fibrillation Guideline Support Tool (AFGuST) for shared decision making.

Mark H Eckman1, Ruth E Wise, Katherine Naylor, Lora Arduser, Gregory Y H Lip, Brett Kissela, Matthew Flaherty, Dawn Kleindorfer, Faisal Khan, Daniel P Schauer, John Kues, Alexandru Costea.   

Abstract

OBJECTIVE: Patient values and preferences are an important component to decision making when tradeoffs exist that impact quality of life, such as tradeoffs between stroke prevention and hemorrhage in patients with atrial fibrillation (AF) contemplating anticoagulant therapy. Our objective is to describe the development of an Atrial Fibrillation Guideline Support Tool (AFGuST) to assist the process of integrating patients' preferences into this decision.
MATERIALS AND METHODS: CHA2DS2VASc and HAS-BLED were used to calculate risks for stroke and hemorrhage. We developed a Markov decision analytic model as a computational engine to integrate patient-specific risk for stroke and hemorrhage and individual patient values for relevant outcomes in decisions about anticoagulant therapy.
RESULTS: Individual patient preferences for health-related outcomes may have greater or lesser impact on the choice of optimal antithrombotic therapy, depending upon the balance of patient-specific risks for ischemic stroke and major bleeding. These factors have been incorporated into patient-tailored booklets which, along with an informational video, were developed through an iterative process with clinicians and patient focus groups. KEY LIMITATIONS: Current risk prediction models for hemorrhage, such as the HAS-BLED, used in the AFGuST, do not incorporate all potentially significant risk factors. Novel oral anticoagulant agents recently approved for use in the United States, Canada, and Europe have not been included in the AFGuST. Rather, warfarin has been used as a conservative proxy for all oral anticoagulant therapy.
CONCLUSIONS: We present a proof of concept that a patient-tailored decision-support tool could bridge the gap between guidelines and practice by incorporating individual patient's stroke and bleeding risks and their values for major bleeding events and stroke to facilitate a shared decision making process. If effective, the AFGuST could be used as an adjunct to published guidelines to enhance patient-centered conversations about the anticoagulation management.

Entities:  

Keywords:  Atrial fibrillation; Decision analysis; Decision support tools; Shared decision making

Mesh:

Substances:

Year:  2015        PMID: 25690491      PMCID: PMC4708062          DOI: 10.1185/03007995.2015.1019608

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  75 in total

1.  Probability of stroke: a risk profile from the Framingham Study.

Authors:  P A Wolf; R B D'Agostino; A J Belanger; W B Kannel
Journal:  Stroke       Date:  1991-03       Impact factor: 7.914

2.  How to develop web-based decision support interventions for patients: a process map.

Authors:  Glyn Elwyn; Ilse Kreuwel; Marie Anne Durand; Stephanie Sivell; Natalie Joseph-Williams; Rhodri Evans; Adrian Edwards
Journal:  Patient Educ Couns       Date:  2010-06-02

3.  Measuring patients' desire for autonomy: decision making and information-seeking preferences among medical patients.

Authors:  J Ende; L Kazis; A Ash; M A Moskowitz
Journal:  J Gen Intern Med       Date:  1989 Jan-Feb       Impact factor: 5.128

4.  Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF).

Authors:  Brian F Gage; Yan Yan; Paul E Milligan; Amy D Waterman; Robert Culverhouse; Michael W Rich; Martha J Radford
Journal:  Am Heart J       Date:  2006-03       Impact factor: 4.749

5.  Is warfarin really underused in patients with atrial fibrillation?

Authors:  S D Weisbord; J Whittle; R C Brooks
Journal:  J Gen Intern Med       Date:  2001-11       Impact factor: 5.128

6.  Oral anticoagulants vs aspirin in nonvalvular atrial fibrillation: an individual patient meta-analysis.

Authors:  Carl van Walraven; Robert G Hart; Daniel E Singer; Andreas Laupacis; Stuart Connolly; Palle Petersen; Peter J Koudstaal; Yuchiao Chang; Beppie Hellemons
Journal:  JAMA       Date:  2002-11-20       Impact factor: 56.272

7.  Implementing evidence based medicine in general practice: audit and qualitative study of antithrombotic treatment for atrial fibrillation.

Authors:  A Howitt; D Armstrong
Journal:  BMJ       Date:  1999-05-15

8.  Bleeding complications of oral anticoagulant treatment: an inception-cohort, prospective collaborative study (ISCOAT). Italian Study on Complications of Oral Anticoagulant Therapy.

Authors:  G Palareti; N Leali; S Coccheri; M Poggi; C Manotti; A D'Angelo; V Pengo; N Erba; M Moia; N Ciavarella; G Devoto; M Berrettini; S Musolesi
Journal:  Lancet       Date:  1996-08-17       Impact factor: 79.321

9.  A patient decision aid regarding antithrombotic therapy for stroke prevention in atrial fibrillation: a randomized controlled trial.

Authors:  M Man-Son-Hing; A Laupacis; A M O'Connor; J Biggs; E Drake; E Yetisir; R G Hart
Journal:  JAMA       Date:  1999-08-25       Impact factor: 56.272

10.  Prospective decision analysis for peripheral vascular disease predicts future quality of life.

Authors:  Thomas E Brothers; Jacob G Robison; Bruce M Elliott
Journal:  J Vasc Surg       Date:  2007-08-31       Impact factor: 4.268

View more
  15 in total

1.  Net Clinical Benefit of Oral Anticoagulation Among Older Adults With Atrial Fibrillation.

Authors:  Sachin J Shah; Daniel E Singer; Margaret C Fang; Kristi Reynolds; Alan S Go; Mark H Eckman
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-11-11

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

Authors:  Marleen Kunneman; Megan E Branda; Ian G Hargraves; Angela L Sivly; Alexander T Lee; Haeshik Gorr; Bruce Burnett; Takeki Suzuki; Elizabeth A Jackson; Erik Hess; Mark Linzer; Sarah R Brand-McCarthy; Juan P Brito; Peter A Noseworthy; Victor M Montori
Journal:  JAMA Intern Med       Date:  2020-07-20       Impact factor: 21.873

Review 3.  Shared Decision-Making as the Future of Emergency Cardiology.

Authors:  Marc A Probst; Peter A Noseworthy; Juan P Brito; Erik P Hess
Journal:  Can J Cardiol       Date:  2017-09-22       Impact factor: 5.223

4.  Atrial fibrillation decision support tool: Population perspective.

Authors:  Mark H Eckman; Alexandru Costea; Mehran Attari; Jitender Munjal; Ruth E Wise; Carol Knochelmann; Matthew L Flaherty; Pete Baker; Robert Ireton; Brett M Harnett; Anthony C Leonard; Dylan Steen; Adam Rose; John Kues
Journal:  Am Heart J       Date:  2017-08-23       Impact factor: 4.749

Review 5.  Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management.

Authors:  Mina K Chung; Angela Fagerlin; Paul J Wang; Tinuola B Ajayi; Larry A Allen; Tina Baykaner; Emelia J Benjamin; Megan Branda; Kerri L Cavanaugh; Lin Y Chen; George H Crossley; Rebecca K Delaney; Lee L Eckhardt; Kathleen L Grady; Ian G Hargraves; Mellanie True Hills; Matthew M Kalscheur; Daniel B Kramer; Marleen Kunneman; Rachel Lampert; Aisha T Langford; Krystina B Lewis; Ying Lu; John M Mandrola; Kathryn Martinez; Daniel D Matlock; Sarah R McCarthy; Victor M Montori; Peter A Noseworthy; Kate M Orland; Elissa Ozanne; Rod Passman; Krishna Pundi; Dan M Roden; Elizabeth V Saarel; Monika M Schmidt; Samuel F Sears; Dawn Stacey; Randall S Stafford; Benjamin A Steinberg; Sojin Youn Wass; Jennifer M Wright
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-12-06

6.  Long-term functional outcomes and mortality after hospitalization for extracranial hemorrhage.

Authors:  Anna L Parks; Sun Y Jeon; W John Boscardin; Michael A Steinman; Alexander K Smith; Kenneth E Covinsky; Margaret C Fang; Sachin J Shah
Journal:  J Hosp Med       Date:  2022-02-24       Impact factor: 2.899

7.  Development of a patient decision aid for discharge planning of hospitalized patients with stroke.

Authors:  J C M Prick; S M van Schaik; I A Deijle; R Dahmen; P J A M Brouwers; P H E Hilkens; M M Garvelink; N Engels; J W Ankersmid; S H J Keus; R The; A Takahashi; C F van Uden-Kraan; P J van der Wees; R M Van den Berg-Vos
Journal:  BMC Neurol       Date:  2022-07-05       Impact factor: 2.903

Review 8.  Developing a Conversation Aid to Support Shared Decision Making: Reflections on Designing Anticoagulation Choice.

Authors:  Claudia L Zeballos-Palacios; Ian G Hargraves; Peter A Noseworthy; Megan E Branda; Marleen Kunneman; Bruce Burnett; Michael R Gionfriddo; Christopher J McLeod; Haeshik Gorr; Juan Pablo Brito; Victor M Montori
Journal:  Mayo Clin Proc       Date:  2019-01-11       Impact factor: 7.616

Review 9.  Decision-making about the use of non-vitamin K oral anticoagulant therapies for patients with atrial fibrillation.

Authors:  Mark H Eckman
Journal:  J Thromb Thrombolysis       Date:  2016-02       Impact factor: 2.300

10.  Processes and Recommendations for Creating mHealth Apps for Low-Income Populations.

Authors:  Laura Siga Stephan; Eduardo Dytz Almeida; Raphael Boesche Guimaraes; Antonio Gaudie Ley; Rodrigo Gonçalves Mathias; Maria Valéria Assis; Tiago Luiz Luz Leiria
Journal:  JMIR Mhealth Uhealth       Date:  2017-04-03       Impact factor: 4.773

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.