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Text Network Analysis of Newspaper Articles on Life-sustaining Treatments
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Eun Jun Park, Dae Woong Ahn, Chan Sook Park
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J Korean Acad Community Health Nurs. 2018;29(2):244-256. Published online June 30, 2018
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DOI: https://doi.org/10.12799/jkachn.2018.29.2.244
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- 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,â€â€œdeath,â€â€œLST (life-sustaining treatments),â€â€œhospice palliative care,â€â€œhospitals,â€â€œfamily,â€â€œopinion,†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.
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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
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