Skip Navigation
Skip to contents

RCPHN : Research in Community and Public Health Nursing

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse articles > Author index
Search
Chan Sook Park 1 Article
Text Network Analysis of Newspaper Articles on Life-sustaining Treatments
Eun Jun Park, Dae Woong Ahn, Chan Sook Park
J Korean Acad Community Health Nurs. 2018;29(2):244-256.   Published online June 30, 2018
DOI: https://doi.org/10.12799/jkachn.2018.29.2.244
  • 1,209 View
  • 4 Download
  • 5 Citations
AbstractAbstract PDF
PURPOSE
This study tried to understand discourses of life-sustaining treatments in general daily and healthcare newspapers.
METHODS
A text-network analysis was conducted using the NetMiner program. Firstly, 572 articles from 11 daily newspapers and 258 articles from 8 healthcare newspapers were collected, which were published from August 2013 to October 2016. Secondly, keywords (semantic morphemes) were extracted from the articles and rearranged by removing stop-words, refining similar words, excluding non-relevant words, and defining meaningful phrases. Finally, co-occurrence matrices of the keywords with a frequency of 30 times or higher were developed and statistical measures—indices of degree and betweenness centrality, ego-networks, and clustering—were obtained.
RESULTS
In the general daily and healthcare newspapers, the top eight core keywords were common: “patients,”“death,”“LST (life-sustaining treatments),”“hospice palliative care,”“hospitals,”“family,”“opinion,” and “withdrawal.” There were also common subtopics shared by the general daily and healthcare newspapers: withdrawal of LST, hospice palliative care, National Bioethics Review Committee, and self-determination and proxy decision of patients and family. Additionally, the general daily newspapers included diverse social interest or events like well-dying, euthanasia, and the death of farmer Baek Nam-ki, whereas the healthcare newspapers discussed problems of the relevant laws, and insufficient infrastructure and low reimbursement for hospice-palliative care.
CONCLUSION
The discourse that withdrawal of futile LST should be allowed according to the patient's will was consistent in the newspapers. Given that newspaper articles influence knowledge and attitudes of the public, RNs are recommended to participate actively in public communication on LST.

Citations

Citations to this article as recorded by  
  • Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling
    Won‐Oak Oh, Eunji Lee, Yoo‐jin Heo, Myung‐Jin Jung, Jihee Han
    Journal of Nursing Scholarship.2024;[Epub]     CrossRef
  • Images of Nurses Appeared in Media Reports Before and After Outbreak of COVID-19: Text Network Analysis and Topic Modeling
    Min Young Park, Seok Hee Jeong, Hee Sun Kim, Eun Jee Lee
    Journal of Korean Academy of Nursing.2022; 52(3): 291.     CrossRef
  • Identifying the Knowledge Structure and Trends of Outreach in Public Health Care: A Text Network Analysis and Topic Modeling
    Sooyeon Park, Jinkyung Park
    International Journal of Environmental Research and Public Health.2021; 18(17): 9309.     CrossRef
  • Using Text Network Analysis for Analyzing Academic Papers in Nursing
    Chan Sook Park
    Perspectives in Nursing Science.2019; 16(1): 12.     CrossRef
  • Network text analysis of medical tourism in newspapers using text mining: The South Korea case
    Sohyeon Kim, Won Seok Lee
    Tourism Management Perspectives.2019; 31: 332.     CrossRef

RCPHN : Research in Community and Public Health Nursing