Text Network Analysis of Oncology Nursing Studies Published in the journal of Asian Oncology Nursing

Abstract

Purpose: The purpose of this study was to identify the knowledge structure of Asian Oncology Nursing (AON) from 2002 to 2018. Methods: Abstracts from 382 studies were reviewed and analyzed using the text network analysis program, NetMiner 4.3. Keywords network trends were compared before and after 2012 when the journal title changed from Journal of Korean Oncology Nursing to Journal of Asian Oncology Nursing. Results: 'Cancer; 'patient; 'quality of life; breast; 'nurse; 'depression; 'health; 'nursing; 'pain; 'family' were the top 10 most frequent keywords, and 'cancer; 'patient; 'quality of life: 'health; 'nursing; 'family; 'intervention; 'effect; 'hospital; and `therapy' were the dominant keywords that ranked highest in co-appearance frequency. Core keywords changed before and after 2012. After 2012, depression, health, symptom and pain were the keywords ranked that replaced nursing, education, family, and intervention from before 2012. Four subtopic groups were identified: 1) cancer treatment, education and information, 2) chemotherapy and psychological adjustment, 3) psychosocial adjustment of cancer survivors, and 4) process of cancer intervention and support. Conclusion: This study provides a general overview of research trends of the Asian Oncology Nursing Society. Findings of this study may guide future research directions in Asian Oncology Nursing research.