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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)

텍스트 네트워크 분석을 활용한 고령친화 분야의 연구동향 분석 : 「보건의료산업학회지」 게재논문(2007~2018)을 중심으로

  • Ko, Min-Seok (Dept. of Public Health Administration, Vision University of Jeonju)
  • 고민석 (전주비전대학교 보건행정학과)
  • Received : 2019.11.24
  • Accepted : 2019.12.21
  • Published : 2019.12.31

Abstract

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.

Keywords

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