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Factors influencing medication knowledge and beliefs on warfarin adherence among patients with atrial fibrillation in China

Authors Zhao S, Zhao H, Wang X, Gao C, Qin Y, Cai H, Chen B, Cao J

Received 29 August 2016

Accepted for publication 30 November 2016

Published 9 February 2017 Volume 2017:11 Pages 213—220

DOI https://doi.org/10.2147/PPA.S120962

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Akshita Wason

Peer reviewer comments 2

Editor who approved publication: Dr Naifeng Liu

Shujuan Zhao,1 Hongwei Zhao,1 Xianpei Wang,2 Chuanyu Gao,2 Yuhua Qin,1 Haixia Cai,1 Boya Chen,1 Jingjing Cao1

1Department of Pharmacy, 2Department of Cardiovascular Medicine, People’s Hospital of Henan Province, Zhengzhou, Henan, People’s Republic of China

Objectives: Warfarin is often used for ischemic stroke prevention in patients with atrial fibrillation (AF), but the factors affecting patient adherence to warfarin therapy have not been fully understood.
Methods: A cross-sectional survey was conducted in AF patients undergoing warfarin therapy at least 6 months prior to the study. The clinical data collected using questionnaires by phone interviews included the following: 1) self-reported adherence measured by the Morisky Medication Adherence Scale-8©; 2) beliefs about medicines surveyed by Beliefs about Medicines Questionnaire (BMQ); and 3) drug knowledge as measured by the Warfarin Related Knowledge Test (WRKT). Demographic and clinical factors associated with warfarin adherence were identified using a logistic regression model.
Results: Two hundred eighty-eight patients completed the survey and 93 (32.3%) of them were classified as nonadherent (Morisky Medication Adherence Scale-8 score <6). Major factors predicting warfarin adherence included age, cardiovascular disorders, WRKT, and BMQ; WRKT and BMQ were independently correlated with adherence to warfarin therapy by multivariate logistic regression analysis. Adherents were more likely to have greater knowledge scores and stronger beliefs in the necessity of their specific medications ([odds ratio {OR} =1.81, 95% confidence interval {CI} =1.51–2.15] and [OR =1.17, 95% CI =1.06–1.29], respectively). Patients with greater concerns about adverse reactions and more negative views of general harm were more likely to be nonadherent ([OR =0.76, 95% CI =0.69–0.84] and [OR =0.82, 95% CI =0.73–0.92], respectively).
Conclusion: BMK and WRKT are related with patient behavior toward warfarin adherence. BMQ can be applied to identify patients at increased risk of nonadherence.

Keywords: anticoagulation control, INR, MMAS-8©, beliefs about medicine, warfarin
 

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