Journal of Korean Academy of Nursing

Review Paper

Knowledge Structure of Chronic Obstructive Pulmonary Disease Health Information on HealthRelated Websites and Patients’ Needs in the Literature Using Text Network Analysis: Choi, Ja Yun , Lim, Su Yeon , Yun, So Young; J Korean Acad Nurs 2021;51(6):720-731. Published online December 31, 2021; DOI: https://doi.org/10.4040/jkan.21086

Abstract PDF: Purpose
The purpose of this study was to identify the knowledge structure of health information (HI) for chronic obstructive pulmonary disease (COPD).
Methods
Keywords or meaningful morphemes from HI presented on five health-related websites (HRWs) of one national HI institute and four hospitals, as well as HI needs among patients presented in nine literature, were reviewed, refined, and analyzed using text network analysis and their co-occurrence matrix was generated. Two networks of 61 and 35 keywords, respectively, were analyzed for degree, closeness, and betweenness centrality, as well as betweenness community analysis.
Results
The most common keywords pertaining to HI on HRWs were lung, inhaler, smoking, dyspnea, and infection, focusing COPD treatment. In contrast, HI needs among patients were lung, medication, support, symptom, and smoking cessation, expanding to disease management. Two common sub-topic groups in HI on HRWs were COPD overview and medication administration, whereas three common sub-topic groups in HI needs among patients in the literature were COPD overview, self-management, and emotional management.
Conclusion
The knowledge structure of HI on HRWs is medically oriented, while patients need supportive information. Thus, the support system for self-management and emotional management on HRWs must be informed according to the structure of patients’ needs for HI. Healthcare providers should consider presenting COPD patient-centered information on HRWs.

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Research Paper

An Exploratory Study on the Policy for Facilitating of Health Behaviors Related to Particulate Matter: Using Topic and Semantic Network Analysis of Media Text: Byun, Hye Min , Park, You Jin , Yun, Eun Kyoung; J Korean Acad Nurs 2021;51(1):68-79. Published online February 28, 2021; DOI: https://doi.org/10.4040/jkan.20213

Abstract PDF: Purpose
This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies.
Methods
After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6.
Results
In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured.
Conclusion
Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses’ care of vulnerable patients and public health promotion.

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