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초록

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Purpose : This study aimed to analyze research trends on nurse burnout from 2015 to 2024 using text mining and topic modeling, focusing on the structural characteristics and temporal evolution of research themes. Methods : A total of 309 academic papers related to nurse burnout were collected from domestic databases (DBpia, RISS, and KCI). Text preprocessing and frequency analysis were conducted using NetMiner 4.5.1 and Latent Dirichlet Allocation (LDA) was applied to extract latent topics. The optimal number of topics was determined as six based on interpretability and topic coherence. Results : Six major topics were identified: (1) work demand and emotional exhaustion, (2) COVID-19 and occupational resilience, (3) work stress and job satisfaction, (4) clinical work experience, (5) psychological adaptation and mental health, and (6) emotional labor and organizational commitment. Emotional labor and job satisfaction remained central themes throughout the study period, while topics related to resilience and positive psychological capital expanded after the COVID-19 pandemic. The overall trend indicated a gradual shift in research focus from organizational factors to individual psychological resources. Conclusion : Nurse burnout research over the past decade has evolved from focusing on structural work stress to exploring adaptive and preventive factors such as resilience and psychological capital. These findings highlight the need for an integrated approach that combines organizational support and individual resource enhancement to effectively reduce nurse burnout and promote occupational well-being.

목차

Abstract
Ⅰ. 서론
1. 연구의 필요성
2. 연구목적
Ⅱ. 연구 방법
1. 연구설계 및 자료수집
2. 자료 전처리 및 정제 과정
3. 토픽모델링 절차
4. 토픽 명명(Topic Naming) 과정
5. 윤리적 고려
Ⅲ. 연구결과
1. 연도별 연구 동향
2. 주요 키워드 분석
3. 키워드 네트워크 분석
4. 토픽모델링 분석
5. 시기별 토픽 분포 변화
Ⅳ. 논의
Ⅴ. 결론 및 제언
Conflicts of Interest
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키워드

직업적 소진 데이터 마이닝 자연어 처리 심리적 회복탄력성 간호사 Burnout Professional Data Mining Natural Language Processing Resilience Psychological Nurses

저자

• 윤희장 [ Hee Jang Yun | 부천대학교 간호학과 교수 ] Corresponding Author

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