A Study on the Knowledge Structure of Cancer Survivors based on Social Network Analysis
Journal of Korean Academy of Nursing
; : 50-58, 2016.
Article
en Ko
| WPRIM
| ID: wpr-227332
Biblioteca responsable:
WPRO
ABSTRACT
PURPOSE:
The purpose of this study was to identify the knowledge structure of cancer survivors.METHODS:
For data, 1099 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords.RESULTS:
According to the result of the content analysis and the cluster analysis of author keywords from cancer survivors articles, keywords such as 'quality of life', 'breast neoplasms', 'cancer survivors', 'neoplasms', 'exercise' had a high degree centrality. The 9 most important research topics concerning cancer survivors were 'cancer-related symptoms and nursing', 'cancer treatment-related issues', 'late effects', 'psychosocial issues', 'healthy living managements', 'social supports', 'palliative cares', 'research methodology', and 'research participants'.CONCLUSION:
Through this study, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.Palabras clave
Texto completo:
1
Índice:
WPRIM
Asunto principal:
Cuidados Paliativos
/
Calidad de Vida
/
Apoyo Social
/
Análisis por Conglomerados
/
Bases de Datos Factuales
/
Modelos de Enfermería
/
Sobrevivientes
/
Investigación Cualitativa
/
Neoplasias
Tipo de estudio:
Qualitative_research
Límite:
Humans
Idioma:
Ko
Revista:
Journal of Korean Academy of Nursing
Año:
2016
Tipo del documento:
Article