Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
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Text Network Analysis of Newspaper Articles on Life-sustaining Treatments

연명의료 관련 신문 기사의 텍스트네트워크분석

  • Park, Eun-Jun (Department of Nursing, Konkuk University) ;
  • Ahn, Dae Woong (Undergraduate School of Engineering, Department of Computer Science, Seokyeong University) ;
  • Park, Chan Sook (Graduate School of Nursing, Konkuk University)
  • 박은준 (건국대학교 간호학과) ;
  • 안대웅 (서경대학교 컴퓨터과학과) ;
  • 박찬숙 (건국대학교 간호학과 대학원)
  • Received : 2018.01.30
  • Accepted : 2018.06.01
  • Published : 2018.06.30
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Abstract

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.

Keywords

References

  1. Heo DS. End-of-life decision in Korea. Journal of Korean Medical Association. 2008;51(6):524-529. https://doi.org/10.5124/jkma.2008.51.6.524
  2. National Law Information Center. Removal of meaningless survival devices, etc [Internet]. Sejong: Korea Ministry of Government Legislation. 2009 [cited 2018 March 12]. Available from: http://www.law.go.kr/%ED%8C%90%EB%A1%80/(2009%EB%8B%A417417)
  3. National Law Information Center. Law on hospice and palliative care utilization and life-sustaining treatment decision making of patients at the end-of-life [Internet]. Sejong: Korea Ministry of Government Legislation. 2016 [cited 2017 November 18]. Available from: http://www.law.go.kr
  4. Brown BA. The history of advance directives a literature review. Journal of Gerontological Nursing. 2003;29(9):4-9. https://doi.org/10.3928/0098-9134-20030901-04
  5. Khandelwal N, Kross EK, Engelberg RA, Coe NB, Long AC, Curtis JR. Estimating the effect of palliative care interventions and advance care planning on ICU utilization: A systematic review. Critical Care Medicine. 2015;43(5):1102-1111. https://doi.org/10.1097/CCM.0000000000000852
  6. Lee IY. Social implication of living wills, advance directives and natural death act in Korea. The Korean Society of Law and Medicine. 2008;9(1):413-460.
  7. Oh EH. A study on the end-of-life care and healthcare costs in Japan. The Korean Society of Law and Medicine. 2009;10(1):307-322.
  8. Lee IY. A comparative legal review on the characteristics of the law on life-sustaining treatment decision making [Internet]. Seoul: Korea National Institute For Bioethics Policy. 2016 [cited 2018 March 6]. Available from: http://nibp.kr/news/2016_01/2016_01_01.pdf
  9. Lee SB. Issues and tasks of the sog. Well-dying act. Kookmin Law Review. 2017;29(3):311-340. https://doi.org/10.17251/legal.2017.29.3.311
  10. Korean Society for Hospice and Palliative Care. Notice: Joint statement of patient end-of-life decision act [Internet]. Seoul: Author. 2017 [cited 2017 September 11]. Available from: http://www.hospicecare.or.kr/
  11. Koh CK, Ko CM, Park HY. Critical care nurses' perception of life-sustaining treatment at end of life: A content analysis. Journal of Korean Critical Care Nursing. 2017;10(1):41-50.
  12. Division of Bioethics Policy. The full-fledged health care decision system [Internet]. Sejong: Ministry of Health and Welfare. 2018 [cited 2018 March 13]. Available from: http://www.mohw.go.kr/react/al/sal0301vw.jsp?PAR_MENU_ID=04&MENU_ID=0403&page=8&CONT_SEQ=343672
  13. Park ET. Initial confusion in implementing "Act on decision on life-sustaining treatment for patients in hospice and palliative care or at the end of life", requiring further revision is necessary. Medipana News. 2018. February 26 [cited 2018 March 13]. Available from: http://www.medipana.com/news/news_viewer.asp?NewsNum=216318&MainKind=A&NewsKind=61&vCount=12&vKind=1
  14. Choi YJ, Kweon SH. A semantic network analysis of the newspaper articles on Big data. Journal of Cyber Communication Academic Society. 2014;31(1):241-286.
  15. Lee SJ, Kim HY. Attitude, role perception and nursing stress on life sustaining treatment among intensive care unit nurses. Korean Journal of Adult Nursing. 2017;29(2):131-142. https://doi.org/10.7475/kjan.2017.29.2.131
  16. Lee SS. Network analysis methods. Seoul: Nonhyeong; 2012. 370 p.
  17. Wasserman S, Faust K. Social Network Analysis: Methods and Applications. New York, USA: Cambridge University Press; 1994. 801 p.
  18. Korea Audit Bureau of Certification. 2017 daily newspapers paid circulation (2017.11.22.) [Internet]. Seoul: Korea Audit Bureau of Certification Association. 2011. [cited 2018 June 04]. Available from: http://www.kabc.or.kr/about/notices/100000002541?param.page=¶m.category=¶m.keyword=
  19. Park EJ, Cho SZ. KoNLPy: Korean natural language processing in Python. Paper presented at: The 26th Annual Conference on Human & Cognitive Language Technology; 2014 October 10-11; Kangwon National University. Chuncheon.
  20. Cyram. NetMiner. Version 4.3 [software]. Seoul: Cyram Inc. 2000. [cited 2017 July 28]. Available from: http://www.netminer.com/main/main-read.do
  21. Park EJ, Kim YJ, Park CS. A comparison of hospice care research topics between Korea and other countries using text network analysis. Journal of Korean Academy of Nursing. 2017;47(5):600-612. https://doi.org/10.4040/jkan.2017.47.5.600
  22. Brown PF, Desouza PV, Mercer RL, Pietra VJD, Lai JC. Classbased n-gram models of natural language. Computational Linguistics. 1992;18(4):467-479.
  23. Park C, Jung C. Text network analysis: Detecting shared meaning through socio-cognitive networks of policy stakeholders. Journal of Governmental Studies. 2013;19(2):73-108.
  24. Paranyushkin D. Identifying the pathways for meaning circulation using text network analysis [Internet]. Berlin: Nodus Labs. 2011 [cited 2017 August 20]. Available from: http://noduslabs.com/research/pathways-meaning-circulation-text-network-analysis
  25. Newman ME. Modularity and community structure in networks. Proceedings of the National Academy of Sciences of the United States of America. 2006;103(23):8577-8582. https://doi.org/10.1073/pnas.0601602103
  26. Clauset A, Newman ME, Moore C. Finding community structure in very large networks. Physical Review E. 2004;70(6):066111. https://doi.org/10.1103/PhysRevE.70.066111
  27. Yun YH. Hospice-palliative care and social strategies for improvement of the quality of end-of-life. Journal of the Korean Medical Association. 2009;52(9):880-885. https://doi.org/10.5124/jkma.2009.52.9.880

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