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KMID : 0614820210270030169
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Journal of Korean Academy of Nursing Administration
2021 Volume.27 No. 3 p.169 ~ p.180
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Exploring Nurses’ Experience and Grievance: Network Analysis and Topic Modeling using a Social Networking Service
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Ji Hyun-Ju
Lim A-Rum
Lee Seung-Eun
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Abstract
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Purpose: To describe clinical nurses’ experience and grievance in an online community using a co-occurrence networkand topic modeling.
Methods: We analyzed posts from Nurscape, which is the largest online community for nursesin Korea. After extracting posts using web scrapping, text preprocessing was done to detect nouns. In a visualizationphase, 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-relateddifficulties’ 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’ capturedthe voices urging organized actions to improve nurses’ work environment.
Conclusion: Clinical nurses shareexperiences 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 resultsof this study can contribute to establishing the policy direction of nursing organizations.
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KEYWORD
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Nurses, Social networking, Data mining, Experience, Grievance
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