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心房颤动患者口服抗凝剂的依从性:一项澳大利亚调查。

Adherence to Oral Anticoagulants in Atrial Fibrillation: An Australian Survey.

作者信息

Obamiro Kehinde O, Chalmers Leanne, Lee Kenneth, Bereznicki Bonnie J, Bereznicki Luke R

机构信息

1 Division of Pharmacy, School of Medicine, University of Tasmania, Hobart, Tasmania, Australia.

出版信息

J Cardiovasc Pharmacol Ther. 2018 Jul;23(4):337-343. doi: 10.1177/1074248418770201. Epub 2018 Apr 15.

Abstract

BACKGROUND

The aim of this study was to investigate the proportion of patients who have suboptimal adherence to oral anticoagulant (OAC), identify the predictors of adherence, and determine whether patient-related factors vary across adherence levels in Australia.

METHODS

Respondents were recruited for an online survey using Facebook. Survey instruments included the Morisky 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 ordinal regression analysis.

RESULTS

Of the 386 responses eligible for analysis, only 54.9% reported a high level of adherence. Participants aged 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 = .013), while females were more likely to be highly adherent compared to males (OR, 1.69; 95% CI, 1.08-2.64; P = .023). The analyses showed that age, gender, treatment satisfaction, information overload, concerns about making mistake when taking OACs, and cost of medication were significant predictors of adherence.

CONCLUSION

Self-reported suboptimal adherence to OAC is common among patients with atrial fibrillation. A focus on supporting people who are at higher risk of suboptimal adherence is needed to maximize the benefit of OAC therapy in this population.

摘要

背景

本研究旨在调查口服抗凝剂(OAC)依从性欠佳的患者比例,确定依从性的预测因素,并判断在澳大利亚患者相关因素是否因依从水平而异。

方法

通过脸书招募受访者进行在线调查。调查工具包括莫尔斯基药物依从性量表、抗凝知识工具、抗凝治疗认知问卷以及改良的癌症信息过载量表。使用有序回归分析确定药物依从性的预测因素。

结果

在386份符合分析条件的回复中,只有54.9%报告依从性较高。与年龄较大的参与者相比,65岁及以下的参与者依从性较高的可能性较小(优势比[OR],0.54;95%置信区间[CI],0.33 - 0.88;P = 0.013),而女性比男性更有可能具有高依从性(OR,1.69;95% CI,1.08 - 2.64;P = 0.023)。分析表明,年龄、性别、治疗满意度、信息过载、服用OAC时对犯错的担忧以及药物成本是依从性的重要预测因素。

结论

房颤患者中自我报告的OAC依从性欠佳情况较为常见。需要关注支持那些依从性欠佳风险较高的人群,以最大化该人群中OAC治疗的益处。

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