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National Petition Analysis Related to Nursing: Text Network Analysis and Topic Modeling
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HyunJung Ko, Seok Hee Jeong, Eun Jee Lee, Hee Sun Kim
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J Korean Acad Nurs 2023;53(6):635-651. Published online December 31, 2023
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DOI: https://doi.org/10.4040/jkan.23052
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 Abstract
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- Purpose
This study aimed to identify the main keyword, network structure, and main topics of the national petition related to “nursing” in South Korea.
Methods
Data were gathered from petitions related to the national petition in Korea Blue House related to the topic “nursing” or “nurse” from August 17, 2017, to May 9, 2022. A total of 5,154 petitions were searched, and 995 were selected for the final analysis. Text network analysis and topic modeling were analyzed using the Netminer 4.5.0 program.
Results
Regarding network characteristics, a density of 0.03, an average degree of 144.483, and an average distance of 1.943 were found. Compared to results of degree centrality and betweenness centrality, keywords such as “work environment,” “nursing university,” “license,” and “education” appeared typically in the eigenvector centrality analysis. Topic modeling derived four topics: (1) “Improving the working environment and dealing with nursing professionals,” (2) “requesting investigation and punishment related to medical accidents,” (3) “requiring clear role regulation and legislation of medical and nonmedical professions,” and (4) “demanding improvement of healthcare-related systems and services.” Conclusion: This is the first study to analyze Korea's national petitions in the field of nursing. This study's results confirmed both the internal needs and external demands for nurses in South Korea. Policies and laws that reflect these results should be developed.
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Citations
Citations to this article as recorded by  - Voice of Customer Analysis of Nursing Care in a Tertiary Hospital: Text Network Analysis and Topic Modeling
Hyunjung Ko, Nara Han, Seulki Jeong, Jeong A Jeong, Hye Ryoung Yun, Eun Sil Kim, Young Jun Jang, Eun Ju Choi, Chun Hoe Lim, Min Hee Jung, Jung Hee Kim, Dong Hyu Cho, Seok Hee Jeong
Journal of Korean Academy of Nursing Administration.2024; 30(5): 529. CrossRef - A Study on Internet News for Patient Safety Campaigns: Focusing on Text Network Analysis and Topic Modeling
Sun-Hwa Shin, On-Jeon Baek
Healthcare.2024; 12(19): 1914. CrossRef
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Influence of work environment, supervisors’ ethical leadership, professional autonomy, and communication competence on role conflict among nurses performing medical support tasks
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Dasom Lee, Yoonjin Kim, Hyunjung Ko, Hyunjin Jeong, Aram Kim, Hyoju Park, Kyungok Kang, Min Hee Jung, Mikyoung Kim, Seok Hee Jeong
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Received March 20, 2026 Accepted September 10, 2026 Published online October 8, 2026
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DOI: https://doi.org/10.4040/jkan.26042
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Abstract
 ePub
- Purpose
Guided by an ecological systems model, this descriptive cross-sectional study sought to identify variables influencing role conflict among nurses performing medical support tasks.
Methods
Data were collected in September 2025 from 162 nurses performing medical support tasks at a tertiary general hospital in South Korea. Analyses included descriptive statistics, the independent-samples t-test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and hierarchical regression, using IBM SPSS ver. 29.0 for Windows.
Results
Mean scores were 2.42±0.49 out of 4 for work environment, 3.18±0.57 out of 5 for ethical leadership, 154.92±21.75 out of 240 for professional autonomy, 3.75±0.50 out of 5 for communication competence, and 3.61±0.61 out of 5 for role conflict. Statistically significant positive correlations were found among communication competence, professional autonomy, ethical leadership, and role conflict. Communication competence, professional autonomy, ethical leadership, and work environment significantly predicted role conflict in the final hierarchical regression model. Work environment was the strongest predictor (β=−.49, p<.001), contributing the largest incremental increase in explained variance (change in adjusted R2=.11, p<.001).
Conclusion
Work environment emerged as the factor with the greatest impact on role conflict. Reducing role conflict among nurses performing medical support tasks requires formalizing their roles through legal and policy frameworks, alongside organizational and policy efforts to improve staffing, facilities, and administrative support in their work environment.
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