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

Overview of attention for article published in Patient preference and adherence, February 2017
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Mentioned by

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4 X users
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1 Facebook page

Citations

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29 Dimensions

Readers on

mendeley
60 Mendeley
Title
Factors influencing medication knowledge and beliefs on warfarin adherence among patients with atrial fibrillation in China
Published in
Patient preference and adherence, February 2017
DOI 10.2147/ppa.s120962
Pubmed ID
Authors

Shujuan Zhao, Hongwei Zhao, Xianpei Wang, Chuanyu Gao, Yuhua Qin, Haixia Cai, Boya Chen, Jingjing Cao

Abstract

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. 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. 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). BMK and WRKT are related with patient behavior toward warfarin adherence. BMQ can be applied to identify patients at increased risk of nonadherence.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Bachelor 8 13%
Student > Doctoral Student 5 8%
Student > Ph. D. Student 5 8%
Student > Postgraduate 4 7%
Other 10 17%
Unknown 19 32%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Pharmacology, Toxicology and Pharmaceutical Science 9 15%
Nursing and Health Professions 7 12%
Linguistics 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 5%
Unknown 26 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 March 2017.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from Patient preference and adherence
#779
of 1,757 outputs
Outputs of similar age
#220,834
of 424,972 outputs
Outputs of similar age from Patient preference and adherence
#30
of 52 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 424,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.