scholarly journals Letter to the Editor on “Atrial fibrillation prevalence and risk profile from novel community-based screening in Thailand: A prospective multi-centre study”

2021 ◽  
Vol 33 ◽  
pp. 100733
Author(s):  
Ming-Liang Zuo ◽  
Chun-Ka Wong ◽  
Lixue Yin ◽  
Chung-Wah Siu
Keyword(s):  
Atrial Fibrillation ◽  
Risk Profile ◽  
Community Based ◽  
Multi Centre Study ◽  
Centre Study ◽  
Letter To The Editor

scholarly journals Atrial fibrillation prevalence and risk profile from novel community-based screening in Thailand: A prospective multi-centre study

2021 ◽  
Vol 32 ◽  
pp. 100709
Author(s):  
Nijasri C. Suwanwela ◽  
Aurauma Chutinet ◽  
Hathairat Autjimanon ◽  
Tanawat Ounahachok ◽  
Chumpol Decha-umphai ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Profile ◽  
Community Based ◽  
Multi Centre Study ◽  
Centre Study

Clinical Decision Tools to Predict Orotracheal Intubation and In-Hospital Mortality Among COVID-19 Patients: A Retrospective Multi-Centre Study

2020 ◽  
Author(s):  
Hamed Akhlaghi ◽  
Saraq Vogrin ◽  
Stephen Parnis ◽  
Gerard O’Reilly ◽  
Zohreh Esmaeilian ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Clinical Decision ◽  
Orotracheal Intubation ◽  
Multi Centre Study ◽  
Centre Study ◽  
Decision Tools

Use of an Atrial Fibrillation Medication Decision Aid Improves Knowledge and Process for Decision Making (Preprint)

2018 ◽  
Author(s):  
Molly Beinfeld ◽  
Suzanne Brodney ◽  
Michael Barry ◽  
Erika Poole ◽  
Adam Kunin
Keyword(s):  
Atrial Fibrillation ◽  
Decision Making ◽  
Shared Decision Making ◽  
Anticoagulant Therapy ◽  
Decision Aid ◽  
Response Rate ◽  
Intervention Group ◽  
Shared Decision ◽  
Community Based ◽  
Baseline Group

BACKGROUND A rural community-based Cardiology practice implemented shared decision making supported by an evidence-based decision aid booklet to improve the quality of anticoagulant therapy decisions in patients with atrial fibrillation. OBJECTIVE To develop a practical workflow for implementation of an anticoagulant therapy decision aid and to assess the impact on patients’ knowledge and process for anticoagulant medication decision making. METHODS The organization surveyed all patients with atrial fibrillation being seen at Copley Hospital to establish a baseline level of knowledge, certainty about the decision and process for decision making. The intervention surveys included the same knowledge, certainty, process and demographic questions as the baseline surveys, but also included questions asking for feedback on the decision aid booklet. Stroke risk scores (CHA2DS2-VASc score) were calculated by Copley staff for both groups using EMR data. RESULTS We received 46 completed surveys in the baseline group (64% response rate) and 50 surveys in the intervention group (72% response rate). The intervention group had higher knowledge score than the baseline group (3.6 out of 4 correct answers vs 3.1, p=0.036) and Decision Process Score (2.89 out of 4 vs 2.09, p=0.0023) but similar scores on the SURE scale (3.12 out of 4 vs 3.17, p=0.79). Knowledge and Process score differences were sustained even after adjusting for co-variates in stepwise linear regression analyses. Patients with high school or lower education appeared to benefit the most from shared decision making, as demonstrated by their knowledge scores. CONCLUSIONS It is feasible and practical to implement shared decision making supported by decision aids in a community-based Cardiology practice. Shared decision making can improve knowledge and process for decision making for patients with atrial fibrillation. CLINICALTRIAL None

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