Japan Journal of Medical Informatics
Online ISSN : 2188-8469
Print ISSN : 0289-8055
ISSN-L : 0289-8055
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The Historical Transitions and Proposition about Nursing Related Dissertations: Text Mining Analysis of CiNii Dissertations
H Lee R Shimotakahara
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2022 Volume 42 Issue 1 Pages 27-37

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Abstract

 In CiNii Dissertations, a bibliography database, about 600,000 dissertations that are available to the public in the institutional repositories, such as universities in Japan, are published. We identified 2,315 dissertations related to nursing by using this database and investigated them in terms of quality and quantity by the technique of text mining. As a result, the research trends, and characteristics of Japan nursing education, over the past 78 years since 1944 to 2021, has become clear. The number of the nursing related dissertations gradually increased from the late 1990s and that was at its peak in 2015. It is thought that this was affected by the political background, i.e. that establishment of the nursing graduate schools accelerated because of `Act on Assurance of Work Forces of Nurses and Other Medical Experts, 1992’. Typical research themes have changed according to the societal trends in each generation, and the historical backgrounds of such research. For the development of the text mining study, the dictionary tool in each field is necessary.

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© 2022 Japan Association for Medical Informatics
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