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Abstract

Background: The aim of this study was to investigate the proportion of patients who have suboptimal adherence to oralanticoagulant (OAC), identify the predictors of adherence, and determine whether patient-related factors vary across adherencelevels in Australia. Methods: Respondents were recruited for an online survey using Facebook. Survey instruments included theMorisky Medication Adherence Scale, the Anticoagulation Knowledge Tool, the Perception of Anticoagulant Treatment Questionnaires,and a modified Cancer Information Overload scale. Predictors of medication adherence were identified using ordinalregression analysis. Results: Of the 386 responses eligible for analysis, only 54.9% reported a high level of adherence. Participantsaged 65 years or younger were less likely to have high adherence compared to older participants (odds ratio [OR], 0.54; 95%confidence interval [CI], 0.33-0.88; P ¼ .013), while females were more likely to be highly adherent compared to males (OR, 1.69;95% CI, 1.08-2.64; P ¼ .023). The analyses showed that age, gender, treatment satisfaction, information overload, concerns aboutmaking mistake when taking OACs, and cost of medication were significant predictors of adherence. Conclusion: Self-reportedsuboptimal adherence to OAC is common among patients with atrial fibrillation. A focus on supporting people who are at higherrisk of suboptimal adherence is needed to maximize the benefit of OAC therapy in this population.

Item Type:	Article
Authors/Creators:	Obamiro, KO and Chalmers, L and Lee, K and Bereznicki, BJ and Bereznicki, LR
Keywords:	Adherence, oral anticoagulant, atrial fibrillation
Journal or Publication Title:	Journal of cardiovascular pharmacology and therapeutics
Publisher:	Sage Publications
ISSN:	1074-2484
DOI / ID Number:	10.1177/1074248418770201
Copyright Information:	Copyright The Author(s) 2018
Related URLs:	UTAS Profile: Chalmers, L Google Scholar: Lee, K UTAS Profile: Lee, K Google Scholar: Bereznicki, BJ UTAS Profile: Bereznicki, BJ Google Scholar: Bereznicki, LR UTAS Profile: Bereznicki, LR
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