텍스트 네트워크분석과 토픽모델링을 활용한 간호·간병통합서비스 연구동향 분석

• 영문명: Analysis of Trends in Research on Integrated Nursing Care Services Using Text Network Analysis and Topic Modeling
• 발행기관: 다문화건강학회
• 저자명: 이현수 김진희
• 간행물 정보: 『다문화건강학회지』제13권 제2호, 83~94쪽, 전체 12쪽
• 주제분류: 의약학 > 의학일반
• 파일형태: PDF
• 발행일자: 2023.09.30

영문 초록

Purpose: The purpose of this study was to identify the major keywords, topics and trends in domestic research related to Integrated Nursing Care Service(INCS) using text network analysis and topic modeling. Methods: The study was con-ducted using the following five steps; (1) Collecting abstracts, (2) Text preprocessing in NetMiner 4. (3) Building a co-occurrence matrix (4) Analyzing the structure of the network, and (5) Clustering topic groups. From 2013 to 2021, 154 studies related to INCS were collected from the Korea Citation Index (KCI) database. Results: The core keywords with the highest degree centrality and betweenness centrality were ‘nurse’, ‘patient’, ‘hospital’, ‘satisfaction’, ‘job’, and ‘care’. In addition, the five topics derived from topic modeling considering the coherence score were ‘infra of INCS’, ‘nursing workforce’, ‘INCS’, ‘quality management of INCS’ and ‘experience of INCS’. Conclusion: This study provides the research trends for INCS. The findings of this study could be used to improve INCS and the stability of the services provided.

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키워드

Integrated nursing care service Text network analysis Topic modeling