Text Network Analysis Related to Disclosure of Cancer Diagnosis among Korea and other Countriesopen access암 진단 고지 관련 국내외 연구주제의 텍스트 네트워크 분석
- Authors
- Yoon, Jin Hui; Ryu, Eunjung; Lee, So Young
- Issue Date
- Sep-2018
- Publisher
- Korean Oncology Nursing Society
- Keywords
- Neoplasms; Disclosure; Knowledge; Social Network Analysis; 암; 고지; 지식; 네트워크 분석
- Citation
- Asian Oncology Nursing, v.18, no.3, pp 154 - 162
- Pages
- 9
- Journal Title
- Asian Oncology Nursing
- Volume
- 18
- Number
- 3
- Start Page
- 154
- End Page
- 162
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/872
- DOI
- 10.5388/aon.2018.18.3.154
- ISSN
- 2287-2434
2287-447X
- Abstract
- Purpose: This study aimed to identify and compare research topics related to disclosure of cancer diagnosis among Korea and other countries using text network analysis. Methods: Abstracts from 119 studies for the period of 2000 similar to 2015 were analyzed An integrative literature review and text network analysis were applied to examine the research. The keywords from each article's abstracts were extracted by using a program, KrKwic, and analyzed using network-related measures including degree centrality, and clustering using the NetMiner program. Results: The most important core keywords; 'patient; 'cancer; 'diagnosis; 'disclosure; 'truth; 'physician', 'family; 'telling', 'information', 'preference; 'member; 'age', and 'tell' ranked highly. Asian countries as Korea, Japan, and China showed a similar high centrality of deigee of connection in family, which appeared as a factor that influences cancer diagnosis disclosure. Conclusion: These findings showed knowledge structure of disclosure of cancer diagnosis and its research trends. The 11 topics identified in this comparative study can provide further starting points for research of communication with cancer patients and their family.
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Collections - Red Cross College of Nursing > Department of Nursing > 1. Journal Articles
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