关键词: Diagnosis-related group Evolutionary paths Hot topics LDA model

Mesh : China Diagnosis-Related Groups

来  源:   DOI:10.1186/s12913-024-11209-3   PDF(Pubmed)

Abstract:
BACKGROUND: This study reviews the research status of Diagnosis-related groups (DRGs) payment system in China and globally by analyzing topical issues in this field and exploring the evolutionary trends of DRGs in different developmental stages.
METHODS: Abstracts of relevant literature in the field of DRGs were extracted from the China National Knowledge Infrastructure (CNKI) database and the Web of Science (WoS) core database and used as text data. A probabilistic distribution-based Latent Dirichlet Allocation (LDA) topic model was applied to mine the text topics. Topical issues were determined by topic intensity, and the cosine similarity of the topics in adjacent stages was calculated to analyze the topic evolution trend.
RESULTS: A total of 6,758 English articles and 3,321 Chinese articles were included. Foreign research on DRGs focuses on grouping optimization, implementation effects, and influencing factors, whereas research topics in China focus on grouping and payment mechanism establishment, medical cost change evaluation, medical quality control, and performance management reform exploration.
CONCLUSIONS: Currently, the field of DRGs in China is developing rapidly and attracting deepening research. However, the implementation depth of research in China remains insufficient compared with the in-depth research conducted abroad.
摘要:
背景:本研究通过分析诊断相关群体(DRGs)支付系统在中国和全球的研究现状,探讨DRGs在不同发展阶段的演变趋势。
方法:从中国国家知识基础设施(CNKI)数据库和WebofScience(WoS)核心数据库中提取DRG领域的相关文献摘要,并用作文本数据。基于概率分布的潜在狄利克雷分配(LDA)主题模型用于挖掘文本主题。主题问题由主题强度决定,计算相邻阶段主题的余弦相似度,分析主题演变趋势。
结果:共纳入6,758篇英文文章和3,321篇中文文章。国外对DRGs的研究主要集中在分组优化,实施效果,和影响因素,而中国的研究课题侧重于分组和支付机制的建立,医疗费用变化评估,医疗质量控制,和绩效管理改革探索。
结论:目前,我国DRGs领域发展迅速,研究不断深入。然而,与国外的深入研究相比,我国的研究实施深度仍然不足。
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