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Understanding of Rehabilitation Nursing based on Academic Big Data Analysis / 재활간호학회지
Korean Journal of Rehabilitation Nursing ; : 105-111, 2020.
Artigo em Coreano | WPRIM | ID: wpr-920321
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.
Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Pesquisa qualitativa Idioma: Coreano Revista: Korean Journal of Rehabilitation Nursing Ano de publicação: 2020 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Pesquisa qualitativa Idioma: Coreano Revista: Korean Journal of Rehabilitation Nursing Ano de publicação: 2020 Tipo de documento: Artigo