학회지

Korean Academic Society of Home Health Care Nursing

학회지보기

  • 학회지
  • 학회지보기

노인 요양 관리 주제 분석: 텍스트 마이닝 연구

Topic Analysis of Long-term Care Management: A Text Mining Study

임지영 (인하대학교 간호대학) 김은주 (강릉원주대학교 간호학과) 김성광 (강릉원주대학교 간호학과) 송성숙 (대원대학교 간호학과) 김성준 (인하대학교 간호대학)

언어 :

권호 : v.31, no.3, 329-341,

발행일자 : 2024년 12월

PDF 원문보기

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.

키워드

참고문헌 (33)

  • United Nations. World Population Ageing 2019 Highlights. New York: United Nations Department of Economic and Social Affairs, Population Division; 2019.

  • Harrington C, Carrillo H, Garfield R. Nursing facilities, staffing, residents, and facility deficiencies, 2009 through 2014. The Henry J. Kaiser Family Foundation; 2015.

  • Centers for Disease Control and Prevention (CDC). COVID-19 Nursing Home Data. Retrieved from https://www.cdc.gov;2021.

  • Kane RL, Kane RA. What older people want from long-term care, and how they can get it. Health Affairs (Millwood). 2005;24(4):114-121.

  • Miner G, Elder J, Fast A, Hill T, Nisbet R. Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications. Academic Press; 2012.

  • Zimmerman S, Cohen LW. Evidence behind the green house and similar models of nursing home care. Aging Health. 2010;6(6):717-737.

  • Sheikh A, Bates DW. Digital health: The need to assess impact. British Medical Journal. 2011;343:d4179.

  • Braun RT, Xu H. The role of technology in improving long-term care quality. Health Policy. 2021;125(7):932-938.

  • Feldman R, Sanger J. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge: Cambridge University Press; 2007.

  • Blei DM, Ng AY, Jordan MI. Latent Dirichlet Allocation. Journal of Machine Learning Research. 2003;3:993-1022.

  • Kim H, Lee M. Topic modeling in nursing research: An integrative review. Journal of Nursing Scholarship. 2020;52(3):246-256.

  • Harrington C, Carrillo H, Garfield R. Nursing facilities, staffing, residents, and facility deficiencies, 2009 through 2014. The Henry J. Kaiser Family Foundation; 2015.

  • Schröer C, Kruse F, Gómez JM. A systematic literature review on applying CRISP-DM process model. Procedia Computer Science. 2021;181:526-534. https://doi.org/10.1016/j.procs.2021.01.199

    http://dx.doi.org/10.1016/j.procs.2021.01.199

    원문상세

  • Lee JS. Delphi method. Seoul: Kyoyook Book; 2001. 138 p.

  • Veronica SF, Sylvie R, De Frank J. Topic modelling for automatically identification of relevant concepts discussed in academic documents. In: Rocha Á, López-López PC, Guarda T, editors. Information Technology and Systems. Cham: Springer; 2023. p. 85-95. https://doi.org/10.1007/978-3-031-33261-6_8

    http://dx.doi.org/10.1007/978-3-031-33261-6_8

    원문상세

  • Kim EJ, Lim JY, Kim GM, Kim SK. Nursing students' subjective happiness: A social network analysis. International Journal of Environmental Research and Public Health. 2021;18:11612. https://doi.org/10.3390/ijerph182111612

    http://dx.doi.org/10.3390/ijerph182111612

    원문상세

  • Lee JH, Ostwald MJ. Latent Dirichlet Allocation (LDA) topic models for space syntax studies on spatial experience. City, Territory and Architecture. 2024;11:3. https://doi.org/10.1186/s40410-023-00165-1

    http://dx.doi.org/10.1186/s40410-023-00165-1

    원문상세

  • Wasserman S, Faust K. Social Network Analysis. Cambridge: Cambridge University Press; 1994. https://doi.org/10.1017/CBO9780511815478

    http://dx.doi.org/10.1017/CBO9780511815478

    원문상세

  • Cao S, Huang H, Xiao M, Yan L, Xu W, Tang X, Luo X, Zhao Q. Research on safety in home care for older adults: A bibliometric analysis. 2021. https://doi.org/10.1002/nop2.812

    http://dx.doi.org/10.1002/nop2.812

    원문상세

  • Huang D, Wang J, Fang H, Wang X, Zhang Y, Cao S. Global research trends in the subjective well-being of older adults from 2002 to 2021: A bibliometric analysis. Frontiers in Psychology. 2022;13:972515. https://doi.org/10.3389/fpsyg.2022.972515

    http://dx.doi.org/10.3389/fpsyg.2022.972515

    원문상세

  • Fu L, Sun Z, He L, Liu F, Jing X. Global Long-Term Care Research: A Scientometric Review. International Journal of Environmental Research and Public Health. 2019;16(12):2077. https://doi.org/10.3390/ijerph16122077

    http://dx.doi.org/10.3390/ijerph16122077

    원문상세

  • Yap YY, Tan SH, Choon SW. Elderly's intention to use technologies: a systematic literature review. Heliyon. 2022;8:e08765. https://doi.org/10.1016/j.heliyon.2022.e08765

    http://dx.doi.org/10.1016/j.heliyon.2022.e08765

    원문상세

  • Xia L, Chai L, Zhang H, Sun Z. Mapping the global landscape of long-term care insurance research: a scientometric analysis. International Journal of Environmental Research and Public Health. 2022;19:7425. https://doi.org/10.3390/ijerph19127425

    http://dx.doi.org/10.3390/ijerph19127425

    원문상세

  • Kim K, Jang SG, Lee KS. A network analysis of research topics and trends in end-of-life care and nursing. International Journal of Environmental Research and Public Health. 2021;18:313. https://doi.org/10.3390/ijerph18010313

    http://dx.doi.org/10.3390/ijerph18010313

    원문상세

  • Park Y, Park S, Lee M. Analyzing community care research trends using text mining. Journal of Multidisciplinary Healthcare. 2022;15: 1493-1510. https://doi.org/10.2147/JMDH.S366726

    http://dx.doi.org/10.2147/JMDH.S366726

    원문상세

  • Moteki Y. Research trends in healthcare and hospital administration in Japan: content analyses of article titles in the journal of the Japan society for healthcare administration. Frontiers in Public Health. 2022;10:1050035. https://doi.org/10.3389/fpubh.2022.1050035

    http://dx.doi.org/10.3389/fpubh.2022.1050035

    원문상세

  • Seo J, Nam CM, Kim TH, Park SH. Keyword network analysis on long term care insurance using text mining. Journal of Health Informatics and Statistics. 2021;46(3):257-266. https://doi.org/10.21032/jhis.2021.46.3.257

    http://dx.doi.org/10.21032/jhis.2021.46.3.257

    원문상세

  • Devitt R, Klassen W, Martalog J. Strategic management system in a healthcare setting--moving from strategy to results. Healthcare Quarterly. 2005;8(4):58-65. https://doi.org/10.12927/hcq.2013. 17693. PMID: 16323516

    http://dx.doi.org/10.12927/hcq.2013.17693

    원문상세

  • Mihic M, Obradovic V, Todorovic M, Petrovic D. Analysis of Implementation of the Strategic Management Concept in the Healthcare System of Serbia. Health MED. 2012;6:3448-3457.

  • Vainieri M, Ferre F, Giacomelli G, Nuti S. Explaining performance in health care: How and when top management competencies make the difference. Health Care Management Review. 2019;44(4):306-317. https://doi.org/10.1097/HMR.0000000000000164

    http://dx.doi.org/10.1097/HMR.0000000000000164

    원문상세

  • LTSS Center. Enhancing frontline nurse management in long-term services and supports. Accessed June 15, 2024. Retrieved from https://Itsscenter.org/reports/Enhancing_Frontline Nurse_Management_inLTSS.pdf;2022.

  • Koukourikos K, Tsaloglidou A, Kourkouta L, Papathanasiou IV, Iliadis C, Fratzana A, Panagiotou A. Simulation in clinical nursing education. Acta Informatica Medica. 2021;29(1):15-20. https://doi.org/10.5455/aim.2021.29.15-20

    http://dx.doi.org/10.5455/aim.2021.29.15-20

    원문상세

  • Rees CE, Lee SL, Huang E, Denniston C, Edouard V, Pope K, Palermo C. Supervision training in healthcare: a realist synthesis. Advances in Health Sciences Education: Theory and Practice. 2020;25(3):523-561. https://doi.org/10.1007/s10459-019-09937-x

    http://dx.doi.org/10.1007/s10459-019-09937-x

    원문상세
유관기관