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Research Papers
- Development and effects of a media-based reproductive health promotion program for male high school students at male high school: a quasi-experimental study
- Joon-Young Lee, Yeoungsuk Song
- J Korean Acad Nurs 2025;55(1):34-49. Published online February 20, 2025
- DOI: https://doi.org/10.4040/jkan.24050
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Abstract
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ePub - Purpose
This quasi-experimental study was conducted to develop a media-based reproductive health promotion program (MRHPP) among male high school students and to evaluate its effectiveness.
Methods
The ADDIE model (analysis, design, development, implementation, and evaluation model) was used to develop the MRHPP based on Ajzen’s theory of planned behavior. The research was conducted using a non-equivalent control group with a pretest-posttest design (experimental group=23; control group=22). The program consisted of six sessions and was conducted twice a week. The participants were assessed through a pre-test, post-test immediately after training (post-test 1), and follow-up after 4 weeks (post-test 2) by using questionnaires. The collected data were analyzed using descriptive statistics, the independent t-test, chi-square test, Fisher’s exact test, and repeated-measures analysis of variance.
Results
The analysis of the group-by-time interaction showed statistically significant differences in attitudes toward reproductive health behavior (RHB) (F=4.09, p=.049), subjective norms of RHB (F=5.31, p=.026), and intention to engage in RHB (F=3.78, p=.016). The effect sizes for attitudes, subjective norms, and intention to engage in RHB ranged from 0.75 (medium) to 1.02 (large) (p<.001) at post-test 1, and those for attitudes and subjective norms of RHB ranged from 0.36 (small) to 0.69 (medium) (p<.001) at post-test 2.
Conclusion
The MRHPP was demonstrated to be an effective intervention for promoting reproductive health behavior among male high school students.
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- Structural Topic Modeling Analysis of Patient Safety Interest among Health Consumers in Social Media
- Kim, Nari , Lee, Nam-Ju
- J Korean Acad Nurs 2024;54(2):266-278. Published online May 31, 2024
- DOI: https://doi.org/10.4040/jkan.23156
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Abstract
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- Purpose
This study aimed to investigate healthcare consumers’ interest in patient safety on social media using structural topic modeling (STM) and to identify changes in interest over time.
Methods
Analyzing 105,727 posts from Naver news comments, blogs, internet cafés, and Twitter between 2010 and 2022, this study deployed a Python script for data collection and preprocessing. STM analysis was conducted using R, with the documents’ publication years serving as metadata to trace the evolution of discussions on patient safety.
Results
The analysis identified a total of 13 distinct topics, organized into three primary communities: (1) “Demand for systemic improvement of medical accidents,” underscoring the need for legal and regulatory reform to enhance accountability; (2) “Efforts of the government and organizations for safety management,” highlighting proactive risk mitigation strategies; and (3) “Medical accidents exposed in the media,” reflecting widespread concerns over medical negligence and its repercussions. These findings indicate pervasive concerns regarding medical accountability and transparency among healthcare consumers.
Conclusion
The findings emphasize the importance of transparent healthcare policies and practices that openly address patient safety incidents. There is clear advocacy for policy reforms aimed at increasing the accountability and transparency of healthcare providers. Moreover, this study highlights the significance of educational and engagement initiatives involving healthcare consumers in fostering a culture of patient safety. Integrating consumer perspectives into patient safety strategies is crucial for developing a robust safety culture in healthcare.
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Original Article
- Semantic Network Analysis of Online News and Social Media Text Related to Comprehensive Nursing Care Service
- Minji Kim, Mona Choi, Yoosik Youm
- J Korean Acad Nurs 2017;47(6):806-816. Published online January 15, 2017
- DOI: https://doi.org/10.4040/jkan.2017.47.6.806
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Abstract
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Abstract Purpose As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis.
Methods The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword ‘comprehensive nursing care service’ using Python. A morphological analysis was performed using KoNLPy. Nodes on a ‘comprehensive nursing care service’ cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network.
Results A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, ‘nursing workforce’ and ‘nursing service’ were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were ‘National Health Insurance Service’ and ‘comprehensive nursing care service hospital.’ The nodes with the highest edge weight were ‘national health insurance,’ ‘wards without caregiver presence,’ and ‘caregiving costs.’ ‘National Health Insurance Service’ was highest in degree centrality.
Conclusion This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.
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Citations
Citations to this article as recorded by
- Public Perception Before and After COVID-19 Vaccine Pass for the Unvaccinated to Eat Alone: Social Media Data Analytics
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Journal of Big Data.2020;[Epub] CrossRef - The Analysis of Trends in Domestic Nursing Research on Integrated Nursing Care Service
Hyun Ju Choi
Journal of Korean Academy of Nursing Administration.2019; 25(5): 510. CrossRef - Hospitalization Experience of Patients Admitted to Nursing Care Integrated Service Wards in Small and Medium-size General Hospitals
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Journal of Korean Academy of Nursing Administration.2018; 24(5): 396. CrossRef - Exploring Research Topics and Trends in Nursing-related Communication in Intensive Care Units Using Social Network Analysis
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CIN: Computers, Informatics, Nursing.2018; 36(8): 383. CrossRef
- Public Perception Before and After COVID-19 Vaccine Pass for the Unvaccinated to Eat Alone: Social Media Data Analytics
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- 14 Crossref
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