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http://dx.doi.org/10.14400/JDC.2021.19.12.359

The Study on the patient safety culture convergence research topics through text mining and CONCOR analysis  

Baek, Su Mi (College of Nursing, Chungnam National University)
Moon, Inn Oh (Department of Nursing, Wonkwang Health Science University)
Publication Information
Journal of Digital Convergence / v.19, no.12, 2021 , pp. 359-367 More about this Journal
Abstract
The purpose of this study is to analyze domestic patient safety culture research topics using text mining and CONCOR analysis. The research method was conducted in the stages of data collection, data preprocessing, text mining and social network analysis, and CONCOR analysis. A total of 136 articles were analyzed excluding papers that were not published. Data analysis was performed using Textom and UCINET programs. As a result of this study, TF (frequency) of patient safety culture-related studies showed that patient safety was the highest, and TF-IDF (importance in documents) was highest in nursing. As a result of the CONCOR analysis, a total of seven clusters were derived: knowledge and attitude, communication, medical service, team, work environment, structure, organization and management that constitute the patient safety culture. In the future, it is necessary to conduct research on the relationship between the establishment of a patient safety culture and patient outcomes.
Keywords
Nurse; Patient safety; Patient safety culture; CONCOR Analysis; Network Analysis;
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Times Cited By KSCI : 5  (Citation Analysis)
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