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KMID : 1002520190130040019
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Korean Journal of Health Service Management
2019 Volume.13 No. 4 p.19 ~ p.31
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A Study on Research Trends of Age-Friendly Using Text Network Analysis : Focusing on 「The Korean Journal of Health Service Management」 (2007-2018)
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Ko Min-Seok
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Abstract
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Objectives: The purpose of this study was to analyze research trends in age-friendly research and suggest directions for future research.
Methods: For this study, 112 articles related to age-friendly research were selected, from 605 published articles in The Korean Journal of Health Service Management (2007-2018). Content analysis and text network analysis were conducted using SPSS 23.0 and NetMiner 4.
Results: First, 2 authors (30.4%) and 4 keywords (45.5%) were the most studied. Most of the studies used quantitative research (93.8%). Primary data (61.9%) and SPSS (77.7%) were the most used for analysis. Second, there were seven common keywords in the top 10 in all the centralities. They were Elderly, Geriatric Hospital, Depression, Care Workers, Long-Term Care Facilities, Experience, and Attitude.
Conclusions: This study shows the need for diversity of research topics, subjects, research methods, and analytical tools in future age-friendly related studies. In addition, it suggests activating convergence research in this field linked to various industries and services.
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KEYWORD
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Age-Friendly, Research Trend, Text Network Analysis
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