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http://dx.doi.org/10.14400/JDC.2019.17.4.211

Analysis of research trends on mobile health intervention for Korean patients with chronic disease using text mining  

Son, Youn-Jung (Red-Cross College of Nursing, Chung-Ang University)
Lee, Soo-Kyoung (College of Nursing, Keimyung University)
Publication Information
Journal of Digital Convergence / v.17, no.4, 2019 , pp. 211-217 More about this Journal
Abstract
As the widespread use of mobile health intervention among Korean patients with chronic disease, it is needed to identify research trends in mobile health intervention on chronic care using text mining technique. This secondary data analysis was conducted to investigate characteristics and main research topics in intervention studies from 2005 to 2018 with a total of 20 peer reviewed articles. Microsoft Excel and Text Analyzer were used for data analysis. Mobile health interventions were mainly applied to hypertension, diabetes, stroke, and coronary artery disease. The most common type of intervention was to develop mobile application. Lately, 'feasibility', 'mobile health', and 'outcome measure' were frequently presented. Future larger studies are needed to identify the relationships among key terms and the effectiveness of mobile health intervention using social network analysis.
Keywords
Mobile health; Chronic disease; Patients; Research trends; Text mining;
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