노인 요양 관리 주제 분석: 텍스트 마이닝 연구

초록

Purpose: This study employed text mining methodologies to analyze research trends in elderly long-term care facility management, with the aim of identifying significant keywords and research topics to inform future research directions. Methods: We analyzed 10,487 articles published through April 2024, collected from major academic databases. The analysis incorporated text mining techniques such as term frequency-inverse document frequency (TF-IDF), topic modeling, and social network analysis to extract meaningful patterns and themes from the literature. Results: Publication trends showed consistent growth since the 1980s, with significant acceleration in the 2020s. The analysis revealed that terms such as ‘care,’ ‘management,’ ‘nurse,’ and ‘patient’ were fundamental to the field. Three primary research themes emerged: “Healthcare Management and Quality Improvement,” “Strategic Management in Nursing and Community Care,” and “Health Services and Dementia Care.” These findings highlight the necessity for increased empirical and interdisciplinary research approaches. Conclusion: The findings emphasize the critical need for enhanced management competency programs within long-term care facilities. This study presents a comprehensive overview of current research developments and provides evidence-based recommendations for future research initiatives aimed at enhancing care quality and management practices in response to the challenges of an aging society.

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