Please use this identifier to cite or link to this item: https://doi.org/10.2196/15492
Title: Understanding the attitudes of clinicians and patients toward a self-management eHealth tool for atrial fibrillation: Qualitative study
Authors: Cher, B.P. 
Kembhavi, G. 
Toh, K.Y. 
Audimulam, J. 
Chia, W.-Y.A. 
Vrijhoef, H.J.M.
Lim, Y.W. 
Lim, T.W. 
Keywords: Atrial fibrillation
Chronic disease
mHealth
Mobile phone
Qualitative research
Self-management
Issue Date: 2020
Publisher: JMIR Publications Inc.
Citation: Cher, B.P., Kembhavi, G., Toh, K.Y., Audimulam, J., Chia, W.-Y.A., Vrijhoef, H.J.M., Lim, Y.W., Lim, T.W. (2020). Understanding the attitudes of clinicians and patients toward a self-management eHealth tool for atrial fibrillation: Qualitative study. JMIR Human Factors 7 (3) : e15492. ScholarBank@NUS Repository. https://doi.org/10.2196/15492
Rights: Attribution 4.0 International
Abstract: Background: Atrial fibrillation (AF) is the most common heart rhythm disorder and poses a growing disease burden worldwide because of an aging population. A multidisciplinary approach with an emphasis on patient education and self-management has been demonstrated to improve outcomes for AF through the engagement of patients in their own care. Although electronic tools (e-tools) such as apps have been proposed to provide patient education and facilitate self-management, there have been few studies to guide the development of these tools for patients with AF. Objective: This study aims to explore the perceptions of patients and health care providers (HCPs) and their attitudes toward the use of e-tools for the self-management of AF. It also seeks to elicit the factors that contribute to these attitudes. Methods: Semistructured qualitative interviews with HCPs and patients were conducted to understand the interpretations and expectations of an e-tool that would be used for the self-management of AF. Interview data were analyzed using an exploratory thematic analysis approach to uncover emergent themes and infer ideas of preferred features in a device. A modified technology acceptance model was developed as a framework to help interpret these findings. Data from the HCPs and patients were compared and contrasted. Results: Both patients and HCPs thought that an e-tool would be useful in the self-management of AF. Although both groups favored educational content and monitoring of blood pressure, patients expressed more passivity toward self-care and an ambivalence toward the use of technology to monitor their medical condition. This appears to be related to factors such as a patient's age, social support, and their attitudes toward technology. Instead, they favored using the app to contact their HCPs. Conclusions: This study provides insights into significant differences in the attitudes of patients and HCPs toward the use of e-tools for self-care against their priorities. Understanding patients' motivations and their needs are key to ensuring higher acceptance of such tools. © 2020 Boon Piang Cher, Gayatri Kembhavi, Kai Yee Toh, Jananie Audimulam, Wei-Yan Aloysius Chia, Hubertus JM Vrijhoef, Yee Wei Lim, Toon Wei Lim.
Source Title: JMIR Human Factors
URI: https://scholarbank.nus.edu.sg/handle/10635/197338
ISSN: 22929495
DOI: 10.2196/15492
Rights: Attribution 4.0 International
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