Knowledge Structure of Chronic Obstructive Pulmonary Disease Health Information on Health-Related Websites and Patients’ Needs in the Literature Using Text Network Analysis

Development of pictogram‐based content of self‐management health information for Korean patients with chronic obstructive pulmonary disease

“…Compared with a previous study(Choi, George, & Yun, 2021;Choi, Lim, & Yun, 2021) that used COPD self-management education via a smartphone application-with characteristics such as age, gender and disease severity for both patients with COPD and HCPs broadly similar to this study-the patients in this study gave higher evaluation scores than the patients who used the smartphone app, thereby indicating that the content was patient friendly Choi, George, and Yun (2021)Choi, Lim, and Yun (2021) attributed the lower scores among patients with COPD to reduced levels of digital literacy. The pictogram-based content that reflected the participants' viewpoints and health literacy was specially developed for this study.…”

“…difficult to receive health education during environmental changes such as the current COVID-19 pandemic.Third, from a practical standpoint, this study found that the pictogram-based content was judged to be of sufficiently high quality with a similarly high user evaluation of the usability of the content by patients and HCPs. Compared with a previous study(Choi, George, & Yun, 2021;Choi, Lim, & Yun, 2021) that used COPD self-management education via a smartphone application-with characteristics such as age, gender and disease severity for both patients with COPD and HCPs broadly similar to this study-the patients in this study gave higher evaluation scores than the patients who used the smartphone app, thereby indicating that the content was patient friendly Choi, George, and Yun (2021)Choi, Lim, and Yun (2021) attributed the lower scores among patients with COPD to reduced levels of digital literacy.…”

“…The literal items of COPD self-management health information that would be converted into pictograms were decided by researcher consensus based on three processes: in-depth interviews with patients (Choi et al, 2022a(Choi et al, , 2022b), text network analysis (Choi, George, & Yun, 2021;Choi, Lim, & Yun, 2021) and a systematic literature review. The booklet included items that were extracted at least once from all three processes while the poster included items selected by researchers' consensus among the items in the booklet, owing to the spatial limitations, based on the criteria of frequently used and practical information for self-management.…”

Content Analysis of Feedback Journals for New Nurses From Preceptor Nurses Using Text Network Analysis

“…20 Recently, studies in the field of nursing have used text network analysis to identify knowledge structures on specific research topics. [21][22][23] The method makes it possible to identify core topics and their relationships with subtopics around extended areas of the main topic and to visualize research results as comprehensive and intuitive sociograms, which enables the exploration of knowledge structures. 18 Regarding its methodological value, text network analysis produces the evidence necessary for the formation of the intellectual body of nursing studies and for identifying certain patterns from the scattered data.…”

“…Notably, text network analysis is a convenient way to analyze and predict large-scale data and has the advantage of being more objective by preventing researcher bias from affecting the results, which is a limitation of existing qualitative and quantitative analysis methods 20 . Recently, studies in the field of nursing have used text network analysis to identify knowledge structures on specific research topics 21–23 . The method makes it possible to identify core topics and their relationships with subtopics around extended areas of the main topic and to visualize research results as comprehensive and intuitive sociograms, which enables the exploration of knowledge structures 18 .…”