Suppr超能文献

1998 - 2018年医疗保健管理期刊主题与趋势的文本挖掘研究

A text mining study of topics and trends in health care management journals: 1998-2018.

作者信息

Zengul Ferhat D, Oner Nurettin, O'Connor Stephen J, Borkowski Nancy

出版信息

Health Care Manage Rev. 2022;47(2):144-154. doi: 10.1097/HMR.0000000000000311.

Abstract

BACKGROUND

Advances in natural language processing and text mining provide a powerful approach to understanding trending themes in the health care management literature.

PURPOSE

The aim of this study was to introduce machine learning, particularly text mining and natural language processing, as a viable approach to summarizing a subset of health care management research. The secondary aim of the study was to display the major foci of health care management research and to summarize the literature's evolution trends over a 20-year period.

METHODOLOGY/APPROACH: Article abstracts (N = 2,813), from six health care management journals published from 1998 through 2018 were evaluated through latent semantic analysis, topic analysis, and multiple correspondence analysis.

RESULTS

Using latent semantic analysis and topic analysis on 2,813 abstracts revealed eight distinct topics. Of the eight, three leadership and transformation, workforce well-being, and delivery of care issues were up-trending, whereas organizational performance, patient-centeredness, technology and innovation, and managerial issues and gender concerns exhibited downward trending. Finance exhibited peaks and troughs throughout the study period. Four journals, Frontiers of Health Services Management, Journal of Healthcare Management, Health Care Management Review, and Advances in Health Care Management, exhibited strong associations with finance, organizational performance, technology and innovation, managerial issues and gender concerns, and workforce well-being. The Journal of Health Management and the Journal of Health Organization and Management were more distant from the other journals and topics, except for delivery of care, and leadership and transformation.

CONCLUSION

There was a close association of journals and research topics, and research topics evolved with changes in the health care environment.

PRACTICE IMPLICATIONS

As scholars develop research agendas, focus should be on topics important to health care management practitioners for better informed decision-making.

摘要

背景

自然语言处理和文本挖掘的进展为理解医疗保健管理文献中的趋势主题提供了有力方法。

目的

本研究的目的是引入机器学习,特别是文本挖掘和自然语言处理,作为总结医疗保健管理研究子集的可行方法。该研究的次要目的是展示医疗保健管理研究的主要重点,并总结20年期间文献的演变趋势。

方法/途径:通过潜在语义分析、主题分析和多重对应分析,对1998年至2018年出版的六种医疗保健管理期刊的文章摘要(N = 2,813)进行评估。

结果

对2,813篇摘要进行潜在语义分析和主题分析,揭示了八个不同的主题。其中,领导力与变革、员工福祉和护理服务问题呈上升趋势,而组织绩效、以患者为中心、技术与创新、管理问题和性别问题呈下降趋势。在整个研究期间,财务状况呈现出高峰和低谷。四种期刊,即《卫生服务管理前沿》《医疗保健管理杂志》《医疗保健管理评论》和《医疗保健管理进展》,与财务、组织绩效、技术与创新、管理问题和性别问题以及员工福祉有很强的关联。《健康管理杂志》和《健康组织与管理杂志》与其他期刊和主题的距离较远,除了护理服务以及领导力与变革。

结论

期刊与研究主题之间存在密切关联,研究主题随着医疗保健环境的变化而演变。

实践意义

随着学者们制定研究议程,应关注对医疗保健管理从业者重要的主题,以便做出更明智的决策。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验