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.

PURPOSE
This study was aimed to identify the mediating and moderating effects of safety-specific transformational leadership on the relationship between barrier to and intention of reporting medication errors.
METHODS
Two hundred thirty seven nurses from seven different hospitals participated in the study. Safety-specific transformational leadership was measured by an instrument with 10 items, barrier to reporting medication errors with 16 items, and intention of reporting medication errors with 3 items. The data was collected from September to October 2012. Descriptive statistics, factor analysis, t-test, ANOVA, Pearson correlation coefficient and a hierarchial regression analysis were used.
RESULTS
There were significant negative correlations between the subcategories of barrier to reporting medication errors and intention of reporting medication errors (r=-.16~-.27, p<.001), and a positive correlation between the intention and safety-specific transformational leadership (r=.25, p<001). Transformational leadership was a mediator between barrier to and intention of reporting medication errors.
CONCLUSION
Safety-specific transformational leadership mediated the relationships between barrier to and intention of reporting medication errors. Enhancing safety-specific transformational leadership of nursing unit managers is necessary to increase the intention to reporting medication errors.

Citations

• The mediating role of moral courage in the relationship between ethical leadership and error reporting behavior among nurses in Saudi Arabia: a structural equation modeling approach
  Ebtisam A. Elhihi, Khadija Lafi Aljarary, Maha Alahmadi, Jawaher Bakor Adam, Ohud Atiah Almwualllad, Marwan S. Hawsawei, Abdulmajid Ahmad Hamza, Ibrahim Abdullatif Ibrahim
  BMC Nursing.2025;[Epub]     CrossRef
• Nursing leadership style and error management culture: a scoping review
  Eleonora Moraca, Francesco Zaghini, Jacopo Fiorini, Alessandro Sili
  Leadership in Health Services.2024; 37(4): 526.     CrossRef
• Factors Influencing Clinical Nurses’ Intention to Report Medication Administration Errors
  Seul Hee Lee, Eun Ji Seo
  Journal of Korean Critical Care Nursing.2021; 14(3): 62.     CrossRef
• Discriminating Power of Organization Related Variables on Intention to Medication Error Reporting
  Myoung Soo Kim
  Journal of Health Informatics and Statistics.2016; 41(2): 155.     CrossRef

PURPOSE
This study was done to develop and evaluate a smartphone application for the medication confirmation of high-alert medications.
METHODS
A nonequivalent control group non-synchronized design was used for this study. Participants in the treatment group used the application for four weeks. Data were analyzed using descriptive analysis, chi2-test, and t-test for the homogeneity of participants, and a paired t-test for effectiveness in each group with the SPSS 18.0.
RESULTS
Stability of medication administration was estimated by knowledge and certainty, ranged from a score of one to three. A correct answer with high certainty was coded as high stability, low certainty regardless of correct answer was coded as a moderate stability, and incorrect answers with high certainty were rated as low stability. There were no differences in 'knowledge of high alert medication', 'Certainty of knowledge', 'stability of medication administration', 'confidence of single checking medication', and 'medication safety activities' between the treatment group and the comparison group. The treatment group reported a greater difference between pretest and post-test in 'certainty of medication knowledge' (t=3.51, p=.001) than the comparison group.
CONCLUSION
Smartphone application for medication confirmation of high-alert medications will provide an important platform for reducing medication errors risk.

Citations

• The Development and Impact of a Respiratory Patient Care Mobile Application on Nursing Students
  Hyewon Kim
  CIN: Computers, Informatics, Nursing.2024; 42(11): 788.     CrossRef
• Development and Effectiveness of a Clinical Decision Support System for Pressure Ulcer Prevention Care Using Machine Learning
  Myoung Soo Kim, Jung Mi Ryu, Byung Kwan Choi
  CIN: Computers, Informatics, Nursing.2023; 41(4): 236.     CrossRef
• Development of a Health Promotion Application on Cancer Survivorship as an Educational Content for Nursing Students
  Yoonhee Seok, Eunyoung E. Suh
  Asian Nursing Research.2022; 16(1): 52.     CrossRef
• A model for predicting fall experience in the elderly population over 65 years old: Decision tree analysis
  Myeunghee Han
  Journal of Korean Gerontological Nursing.2022; 24(4): 366.     CrossRef
• Development and evaluation of a self‐management application for patients with gout
  Seung Gum Kang, Eun Nam Lee
  Japan Journal of Nursing Science.2020;[Epub]     CrossRef
• Effects of Smartphone-Based Mobile Learning in Nursing Education: A Systematic Review and Meta-analysis
  Ju Hee Kim, Hanjong Park
  Asian Nursing Research.2019; 13(1): 20.     CrossRef
• Development and Evaluation of “Chronic Illness Care Smartphone Apps” on Nursing Students’ Knowledge, Self-efficacy, and Learning Experience
  Jiyoung Kang, Eunyoung E. Suh
  CIN: Computers, Informatics, Nursing.2018; 36(11): 550.     CrossRef