Understanding of Rehabilitation Nursing based on Academic Big Data Analysis
- Author:
Jung-Ho BAE
1
;
Eun-Ae BURM
Author Information
- Publication Type:Original Articles
- From:Korean Journal of Rehabilitation Nursing 2020;23(2):105-111
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Purpose:The purpose of this study was to provide high-quality rehabilitation nursing through the analysis of academic big data in domestic rehabilitation nursing and to provide basic data for preparing a plan for supporting families who perform rehabilitation nursing.
Methods:This study is a literature review to explore research trends in rehabilitation nursing. We collected quantitative and qualitative data in the educational and academic information database (RISS) defined as the big data, and extracted keywords by the 'rehabilitation', and 'rehabilitation nursing'. The data were analyzed by’R’ Program. Word cloud and social network analysis were performed.
Results:In the field of domestic rehabilitation nursing study, the main keywords were patient, stroke, family, old man, depression, stress, and quality of life. As a result of sentiment analysis with the main keywords in domestic rehabilitation nursing, negative emotional words appeared 6 times higher than positive emotional words.
Conclusion:We suggested that it is also necessary to prepare emotional support plans for patients, family and nurses who are targeted for rehabilitation nursing.
