Medication safety education in nursing research: Text network analysis and topic modeling

Objectives: This study aimed to identify the knowledge structure of medication safety nursing education literature by developing schematic diagrams of the relationship between keywords from a macro perspective. This study also identifies the research topics and trends over time.Design: This quantitative content study used text network analysis to explore keywords and research topics using topic modeling within the medication safety nursing education literature. Data sources: PubMed, EMBASE, and Cochrane databases were used to search for the medication safety nursing education literature published until December 2021.Methods: Keywords from 2085 articles were examined using text network analysis and topic modeling with NetMiner 4.4.3.Results: The keywords with the most frequency and the highest networking degree in centrality were "patient," "medication," "program," "nurse," and "care." The emerging keywords assessed by time periods were identified; the first phase ("heart failure," "insulin," "chemotherapy," and "infusion"), the second phase ("medication er-rors," "staff," and "information"), the third phase ("program," "management," and "data"). The results of topic modeling were as follows: safe medication administration, safe medication reconciliation process, medication education for patients, medication errors in nursing practice, and multidisciplinary teamwork for medication safety.Conclusion: These findings will help nursing researchers and educators to understand the trends and insights for medication safety education and educate future nurses to provide safer nursing care.