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A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing
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 mod...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795048/ https://www.ncbi.nlm.nih.gov/pubmed/33406715 http://dx.doi.org/10.3390/ijerph18010313 |
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author | Kim, Kisook Jang, Seung Gyeong Lee, Ki-Seong |
author_facet | Kim, Kisook Jang, Seung Gyeong Lee, Ki-Seong |
author_sort | Kim, Kisook |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7795048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77950482021-01-10 A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing Kim, Kisook Jang, Seung Gyeong Lee, Ki-Seong Int J Environ Res Public Health Article 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. MDPI 2021-01-04 2021-01 /pmc/articles/PMC7795048/ /pubmed/33406715 http://dx.doi.org/10.3390/ijerph18010313 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Kisook Jang, Seung Gyeong Lee, Ki-Seong A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing |
title | A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing |
title_full | A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing |
title_fullStr | A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing |
title_full_unstemmed | A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing |
title_short | A Network Analysis of Research Topics and Trends in End-of-Life Care and Nursing |
title_sort | network analysis of research topics and trends in end-of-life care and nursing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795048/ https://www.ncbi.nlm.nih.gov/pubmed/33406715 http://dx.doi.org/10.3390/ijerph18010313 |
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