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KMID : 1143320210100010007
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Therapeutic Science for Neurorehabilitation
2021 Volume.10 No. 1 p.7 ~ p.17
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Study on the Research Trend of Overseas Elderly Occupational Therapy Using Text Mining
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Kim Ah-Ram
Lee Tae-Kwon
Jeong In-Jae
Park Hae-Yean
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Abstract
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Objective : The purpose of this study was to quantitatively analyze the quantitative changes in, and the status of, overseas occupational therapy using text mining.
Methods : Using PubMed, research papers on Elderly, Health and Occupational therapy published between 2009 and 2019 were selected for analysis, Abstracts of the selected papers were analyzed. The number of annual papers, the key words, the key words by year, and the relationship between the words were analyzed.
Results : The number of papers published from 2009 to 2019 was 9,941, there was a gradual increase from 2009 to the highest in 2017 or 2018, followed by a decreasing trend in 2019. Within the last five years, the most frequent words were Care, Group, Intervention, Pain, Treatment, and Work. There was a strong relationship between the words based on the average frequency over the last 11 years, function, health, event, and partition.
Conclusion : This study is meaningful because it applied a new research method called text mining to the empirical and systematic analysis of trends in occupational therapy and presented macroscopic and comprehensive results. The findings are expected to help establish new research directions at clinical and research sites for occupational therapy related to older adults.
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KEYWORD
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Elderly, Health, Occupational therapy, Text mining
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