-
A Comparison of Hospice Care Research Topics between Korea and Other Countries Using Text Network Analysis
-
Eun-Jun Park, Youngji Kim, Chan Sook Park
-
J Korean Acad Nurs 2017;47(5):600-612. Published online October 31, 2017
-
DOI: https://doi.org/10.4040/jkan.2017.47.5.600
-
-
 Abstract
 PDF
-
Purpose
This study aimed to identify and compare hospice care research topics between Korean and international nursing studies using text network analysis.
Methods
The study was conducted in four steps: 1) collecting abstracts of relevant journal articles, 2) extracting and cleaning keywords (semantic morphemes) from the abstracts, 3) developing co-occurrence matrices and text-networks of keywords, and 4) analyzing network-related measures including degree centrality, closeness centrality, betweenness centrality, and clustering using the NetMiner program. Abstracts from 347 Korean and 1,926 international studies for the period of 1998–2016 were analyzed.
Results
Between Korean and international studies, six of the most important core keywords-“hospice,” “patient,” “death,” “RNs,” “care,” and “family”-were common, whereas “cancer” from Korean studies and “palliative care” from international studies ranked more highly. Keywords such as “attitude,” “spirituality,” “life,” “effect,” and “meaning” for Korean studies and “communication,” “treatment,” “USA,” and “doctor” for international studies uniquely emerged as core keywords in recent studies (2011~2016). Five subtopic groups each were identified from Korean and international studies. Two common subtopics were “hospice palliative care and volunteers” and “cancer patients.”
Conclusion
For a better quality of hospice care in Korea, it is recommended that nursing researchers focus on study topics of patients with non-cancer disease, children and family, communication, and pain and symptom management.
-
Citations
Citations to this article as recorded by  - Public Perspectives on Palliative and Hospice Care: Social Media Content Analysis Using Topic Modeling and Multiclass Sentiment Analysis
Aeri Kim, Kyungmi Woo
Journal of Medical Internet Research.2025; 27: e70836. CrossRef - A knowledge structure of unmet medical needs of people with disabilities
Jinah Park, Mi So Kim, Kyung-Hwa Choi, Jung Ae Kim, Eunhye Jeong
Health Informatics Journal.2024;[Epub] CrossRef - Exploring the Knowledge Structures of Korean and International Nursing Research on Premature Infants Using Text Network Analysis
Myeong Seon Lee, Seonah Lee
CIN: Computers, Informatics, Nursing.2024; 42(2): 109. CrossRef - Research Trends in Family-Centered Care for Children With Chronic Disease
YeoJin Im, Sunyoung Jung, YoungAh Park, Jeong Hee Eom
CIN: Computers, Informatics, Nursing.2024; 42(7): 504. CrossRef - Natural Language Processing Application in Nursing Research
Minji Mun, Aeri Kim, Kyungmi Woo
CIN: Computers, Informatics, Nursing.2024; 42(12): 889. CrossRef - Exploring the phenomenon of veganphobia in vegan food and vegan fashion
Yeong-Hyeon Choi, Sangyung Lee
The Research Journal of the Costume Culture.2024; 32(3): 381. CrossRef - Periodical Co-Occurrence Analysis of Korean and International Research Trends on Residential Satisfaction
Ju-Yeon Han, Suk-Kyung Kim
Journal of the Korean Housing Association.2023; 34(3): 021. CrossRef - Content Analysis of Feedback Journals for New Nurses From Preceptor Nurses Using Text Network Analysis
Shin Hye Ahn, Hye Won Jeong
CIN: Computers, Informatics, Nursing.2023; 41(10): 780. CrossRef - Analysis of Research Trends in Relation to the Yellow Sea using Text Mining
Kyu Won Hwang, Jinkyung Kim, Seung-Koo Kang, Gil Mo Kang
Journal of the Korean Society of Marine Environment and Safety.2023; 29(7): 724. CrossRef - Identifying Latent Topics and Trends in Premature Infant–Related Nursing Studies Using a Latent Dirichlet Allocation Method
Myeong Seon Lee, Seonah Lee
CIN: Computers, Informatics, Nursing.2023; 41(12): 957. CrossRef - Analysis of Telephone Counseling of Patients in Chemotherapy Using Text Mining Technique
Seoyeon Kim, Jihyun Jung, Heiyoung Kang, Jeehye Bae, Kayoung Sim, Miyoung Yoo, Eunyoung, E. Suh
Asian Oncology Nursing.2022; 22(1): 46. CrossRef - A Topic Modeling Analysis of the Crisis Response Stage during the COVID-19 Pandemic
Kyung-Sook Cha, Eun-Man Kim
International Journal of Environmental Research and Public Health.2022; 19(14): 8331. CrossRef - Analysis of research on metabolic syndrome in cancer survivors using topic modeling and social network analysis
Ji-Su Kim, Hyejin Kim, Eunkyung Lee, Yeji Seo
Science Progress.2021;[Epub] 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 - A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing
Kisook Kim, Seung Gyeong Jang, Ki-Seong Lee
International Journal of Environmental Research and Public Health.2021; 18(1): 313. CrossRef - A study on research trends for gestational diabetes mellitus and breastfeeding: Focusing on text network analysis and topic modeling
Junglim Lee, Youngji Kim, Eunju Kwak, Seungmi Park
The Journal of Korean Academic Society of Nursing Education.2021; 27(2): 175. CrossRef - Semantic Network Analysis of Iussues Related to Mental Illness in Korea Media: Focusing on the Five Major Media from 2016 to 2018
Sun Joo Park, Na Ri Shin, Seung Hye Kim, Su Bin Park, Chul Eung Kim
Journal of Korean Neuropsychiatric Association.2020; 59(1): 72. CrossRef - Knowledge Structure of Nursing Studies on Heart Failure Patients in South Korea through Text Network Analysis
Seang Ryu, Hyunyoung Park, Yun-Hee Kim
Korean Journal of Adult Nursing.2020; 32(4): 409. CrossRef - Identification of Knowledge Structure of Pain Management Nursing Research Applying Text Network Analysis
Chan Sook Park, Eun-Jun Park
Journal of Korean Academy of Nursing.2019; 49(5): 538. CrossRef - Using Text Network Analysis for Analyzing Academic Papers in Nursing
Chan Sook Park
Perspectives in Nursing Science.2019; 16(1): 12. CrossRef - Text Network Analysis of Oncology Nursing Studies Published in the Journal of Asian Oncology Nursing
Miji Kim, Jaehee Jeon, Eunjung Ryu
Asian Oncology Nursing.2019; 19(4): 193. CrossRef - The Analysis of the Visitors' Experiences in Yeonnam-dong before and after the Gyeongui Line Park Project - A Text Mining Approach -
Sae-Ryung Kim, Yunwon Choi, Heeyeun Yoon
Journal of the Korean Institute of Landscape Architecture.2019; 47(4): 33. CrossRef - Research Trend about Complementary and Alternative Therapy in Korea using Text Network Analysis
Hae Ree Sung, Jung Lim Lee, Youngji Kim, Jeong Sig Kim
The Korean Journal of Rehabilitation Nursing.2018; 21(2): 61. CrossRef - Text Network Analysis Related to Disclosure of Cancer Diagnosis among Korea and other Countries
Jin Hui Yun, Eunjung Ryu, So Young Lee
Asian Oncology Nursing.2018; 18(3): 154. CrossRef - Text Network Analysis of Newspaper Articles on Life-sustaining Treatments
Eun-Jun Park, Dae Woong Ahn, Chan Sook Park
Journal of Korean Academy of Community Health Nursing.2018; 29(2): 244. CrossRef - Exploring Research Topics and Trends in Nursing-related Communication in Intensive Care Units Using Social Network Analysis
Youn-Jung Son, Soo-Kyoung Lee, SeJin Nam, Jae Lan Shim
CIN: Computers, Informatics, Nursing.2018; 36(8): 383. CrossRef - Co-occurrence Network Analysis of Keywords in Geriatric Frailty
Youngji Kim, Soong-nang Jang, Jung Lim Lee
Journal of Korean Academy of Community Health Nursing.2018; 29(4): 429. CrossRef - Semantic Network Analysis of Online News and Social Media Text Related to Comprehensive Nursing Care Service
Minji Kim, Mona Choi, Yoosik Youm
Journal of Korean Academy of Nursing.2017; 47(6): 806. CrossRef
-
1,242
View
-
16
Download
-
28
Crossref
|
KSNS
E-SUBMISSION
