Abstract

Aims and objectives: To translate and validate a Taiwanese version of the Self-Efficacy for Appropriate Medication Use Scale (SEAMS). Background: The major barrier in the management of atrial fibrillation is the lack of self-efficacy to medications adherence. Patients’ knowledge of the nature of atrial fibrillation and cardiovascular, cerebrovascular risk factors and anticoagulants is a significant factor affecting individuals’ adherence. However, few instruments have been developed to assess patients’ self-efficacy to medications adherence and none has been translated into Taiwanese. Design: This study used a standard ‘‘forward-backward’’ procedure, which was used to translate SEAMS into Taiwanese language. Reliability was tested for internal consistency. Validity was confirmed by computing a content validity index. Methods: Data collection for this research occurred from October 13, 2015 to October 26, 2016. The sample included atrial fibrillation outpatient. Participants simultaneously completed the Taiwanese version of the Self-Efficacy for Appropriate Medication Use Scale (SEAMS-T). A total of 151 individuals completed the questionnaire. Results: Coefficient alpha was 0.931 for atrial fibrillation patients. Conclusions: Findings provide support for the validity of the Taiwanese version of the Self-Efficacy for Appropriate Medication Use Scale (SEAMS-T). Relevance to clinical practice: The translation and validation of an instrument evaluating the self-efficacy for medication adherence in atrial fibrillation contribute to assessing the provided educational intervention.

Highlights

  • Atrial fibrillation is the most common type of arrhythmia [1] [2]

  • In our study the analysis indicated that Self-Efficacy for Appropriate Medication Use Scale (SEAMS)-T had good Cronbach alpha (0.931); the result is similar to those of study from Risser et al (0.89)

  • Regarding factors affecting the self-efficacy for medication adherence with atrial fibrillation patients, the analysis indicated that socioeconomic and disease characteristics of the sample were not associated with the self-efficacy of medication adherence

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Summary

Introduction

Atrial fibrillation is the most common type of arrhythmia [1] [2]. In the adult population of the world, the lifetime risk of atrial fibrillation probability is around 20% - 25%, which is similar to the white and the Chinese [3]. According to the recently published 2010 global disease burden study (Burden of diseases Global 2010 study), the estimated global prevalence of atrial fibrillation was 33.5 million in 2010, including 20.9 million men and 12.6 million women [4] [5] [6]. These numbers may be underestimated because many asymptomatic atrial fibrillation patients may not be examined [4] [6]. Because atrial fibrillation increases with age and women generally live longer than men, so there are bigger risks for atrial fibrillation in women than men [7]

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