Korean J Adult Nurs.  2024 Nov;36(4):298-310. 10.7475/kjan.2024.36.4.298.

Content Analysis of Patient Safety Incident Reports Using Text Mining: A Secondary Data Analysis

Affiliations
  • 1Doctoral Student, Sahmyook University Graduate School, Seoul, Korea
  • 2Manager, Quality Improvement Department, Sahmyook Medical Center, Seoul, Korea
  • 3Nurse, Quality Improvement Department, Sahmyook Medical Center, Seoul, Korea
  • 4Associate Professor, College of Nursing, Sahmyook University, Seoul, Korea

Abstract

Purpose
This study aimed to identify the main keywords, network structures, and topical themes in patient safety incident reports using text network analysis. Methods: The study analyzed patient safety incident reports from a general hospital in Seoul, covering a total of 3,576 cases reported over five years, from 2019 to 2023. Unstructured data were extracted from the text of the incident reports, detailing how the patient safety incidents occurred and how they were managed according to the six-part principles. The analysis was conducted in four steps: 1) word extraction and refinement, 2) keyword extraction and word network generation, 3) network connectivity and centrality analysis, and 4) topic modeling analysis. The NetMiner program was used for data analysis. Results: The analysis of degree, betweenness, and closeness centrality revealed that the most common keywords among the top five were "confirmation," "medication," "inpatient room," "caregiver," and "condition." Topic modeling analysis identified three main topic groups: 1) incidents caused by a lack of awareness of fall risk, 2) incidents of non-compliance with basic medication principles, and 3) incidents due to inaccurate patient identification.
Conclusion
To prevent patient safety incidents, it is necessary to promote a culture of safety in hospitals, standardize patient identification procedures, and provide basic training in medication safety and fall prevention to healthcare staff. Furthermore, empirical research on patient safety practices is necessary to encourage active participation in patient safety activities by patients and family caregivers.

Keyword

Accidental falls; Medication errors; Patient identification systems; Patient safety; Social network analysis
Full Text Links
  • KJAN
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr