A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing
Bibliographic Data
| ID | 15464246 |
|---|---|
| Authors | Kisook Kim (0000-0003-0343-8692, Chung-Ang University), Seung Gyeong Jang (0000-0001-9121-3439, Catholic University of Korea, corresponding author), Ki-Seong Lee (0000-0002-0906-9552, Chung-Ang University) |
| Year | 2021 |
| Volume | 18 |
| Issue | 1 |
| Pages | 313-313 |
| Publication date | 2021-01-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18010313 |
| PMID | 33406715 |
| OpenAlex | W3119151977 |
| Language | EN |
| References cited | 34 |
This study identified the trends in end-of-life care and nursing through text network analysis. About 18,935 articles published until September 2019 were selected through searches on PubMed, Embase, Cochrane, Web of Science, and Cumulative Index to Nursing and Allied Health Literature. For topic modeling, Latent Dirichlet Allocation (K = 8) was applied. Most of the top ranked topic words for the degree and betweenness centralities were consistent with the top 1% through the semantic network diagram. Among the important keywords examined every five years, "care" was unrivaled. When analyzing the two- and three-word combinations, there were many themes representing places, roles, and actions. As a result of performing topic modeling, eight topics were derived as ethical issues of decision-making for treatment withdrawal, symptom management to improve the quality of life, development of end-of-life knowledge education programs, life-sustaining care plan for elderly patients, home-based hospice, communication experience, patient symptom investigation, and an analysis of considering patient preferences. This study is meaningful as it analyzed a large amount of existing literature and considered the main trends of end-of-life care and nursing research based on the core subject control and semantic structure
Betweenness centrality · Control (management · Information retrieval · Latent Dirichlet allocation · Subject (documents · Topic model · World Wide Web · Computer Science · Diverse Approaches in Healthcare and Education Studies · Health and Wellbeing Research · Medicine · Nursing · Palliative Care and End-of-Life Issues · Psychology · Artificial Intelligence
Patterns of Functional Decline at the End of Life
Religiousness and Spiritual Support Among Advanced Cancer Patients and Associations With End-of-Life Treatment Preferences and Quality of Life
Probabilistic topic models
Common or multiple futures for end of life care around the world? Ideas from the 'waiting room of history
| Highly cited | No |
|---|