J Korean Acad Nurs Adm.  2021 Jun;27(3):169-180. 10.11111/jkana.2021.27.3.169.

Exploring Nurses’ Experience and Grievance: Network Analysis and Topic Modeling using a Social Networking Service

• Ji H
• Lim A
• Lee SE

• KMID: 2525924
• DOI: http://doi.org/10.11111/jkana.2021.27.3.169

Abstract

Purpose
To describe clinical nurses’ experience and grievance in an online community using a co-occurrence network and topic modeling.
Methods
We analyzed posts from Nurscape, which is the largest online community for nurses in Korea. After extracting posts using web scrapping, text preprocessing was done to detect nouns. In a visualization phase, co-occurrence network analysis and latent dirichlet allocation-based topic modeling were applied.
Results
A total of 13,200 posts were analyzed. The co-occurrence network’s core keywords were newly graduate nurse, general ward, career, turnover, and grievance. The topic modeling showed four topics: (1) ‘Clinical practice-related difficulties’ described clinical hardships, such as the heavy workload of nurses; (2) ‘Concerns about resignation’ incorporated keywords asking for advice on resignation; (3) ‘Searching for information on employment/reemployment’ focused on the working conditions or working climate of a specific hospital; and (4) ‘Organizational action call’ captured the voices urging organized actions to improve nurses’ work environment.
Conclusion
Clinical nurses share experiences through the online community and seek advice or information and urge organizational action. Professional nursing organizations should identify and deal with problems that nurses are currently facing. The results of this study can contribute to establishing the policy direction of nursing organizations.

Keyword

Nurses; Social networking; Data mining; Experience; Grievance