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2013年至2022年诊断相关组的文献计量分析

A Bibliometric Analysis of Diagnosis Related Groups from 2013 to 2022.

作者信息

Lang Xiaona, Guo Jinming, Li Yuntao, Yang Fan, Feng Xin

机构信息

Pharmacy Department, Tianjin Hospital, Tianjin, People's Republic of China.

Integrative Chinese and Western Medicine Department, Tianjin Hospital, Tianjin, People's Republic of China.

出版信息

Risk Manag Healthc Policy. 2023 Jul 2;16:1215-1228. doi: 10.2147/RMHP.S417672. eCollection 2023.

DOI:10.2147/RMHP.S417672
PMID:37425618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10325849/
Abstract

PURPOSE

As an important management method of the global healthcare system, diagnosis related groups (DRGs) classify patients into different cost groups and pay more attention to the equitable distribution of medical resources and the quality of medical services. At present, most countries have used DRGs to help medical institutions and doctors to treat patients more accurately, avoid the waste of medical resources, and improve treatment efficiency.

METHODS

The Web of Science database was searched to collect all relevant literature on DRGs from 2013 to 2022. The literature information was imported into CiteSpace, Vosviewer, and Histcite for data analysis and visualization of the results. Analyze the cooperative relationship among the countries, institutions, journals, and authors. The usage trend of keywords; Highlight the content of the cited articles.

RESULTS

The number of articles published in this decade was stable, and the number of citations in 2014 was the highest. The United States and Germany, as the first countries to use the DRGs system, are ahead of other countries in terms of the number and quality of articles. We have carried out content research on the articles with high citations, and summarized the application range of DRGs; classification method; advantages and disadvantages of the application. In general, the development trend of DRGs in foreign countries is to continuously optimize the classification method, expand the scope of application, and improve the application effect. These provide support and reference for the improvement of medical services and the perfection of the medical insurance system.

CONCLUSION

The application of DRGs can improve the quality and efficiency of medical services, and reduce the waste of medical expenses. It can also promote the rational allocation of medical resources and the equity of medical services. In the future, DRGs will pay more attention to the personalized diagnosis and treatment and fine management of patients, and the sharing and standardization of medical data, to promote the development of medical informatization.

摘要

目的

作为全球医疗体系的一种重要管理方法,诊断相关分组(DRGs)将患者分为不同的费用组,更加注重医疗资源的公平分配和医疗服务质量。目前,大多数国家已采用DRGs来帮助医疗机构和医生更精准地治疗患者,避免医疗资源浪费,并提高治疗效率。

方法

检索Web of Science数据库,收集2013年至2022年所有关于DRGs的相关文献。将文献信息导入CiteSpace、Vosviewer和Histcite进行数据分析及结果可视化。分析国家、机构、期刊和作者之间的合作关系;关键词的使用趋势;突出被引文章的内容。

结果

这十年发表的文章数量稳定,2014年的被引次数最高。美国和德国作为最早使用DRGs系统的国家,在文章数量和质量方面领先于其他国家。我们对高被引文章进行了内容研究,总结了DRGs的应用范围;分类方法;应用的优缺点。总体而言,国外DRGs的发展趋势是不断优化分类方法、扩大应用范围并提高应用效果。这些为改善医疗服务和完善医疗保险制度提供了支持和参考。

结论

DRGs的应用可以提高医疗服务的质量和效率,减少医疗费用的浪费。它还可以促进医疗资源的合理配置和医疗服务的公平性。未来,DRGs将更加关注患者的个性化诊疗和精细化管理,以及医疗数据的共享和标准化,以推动医疗信息化发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/bf10605b7ddc/RMHP-16-1215-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/1f468687a4f1/RMHP-16-1215-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/153134f1a1c2/RMHP-16-1215-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/fc3de2b665df/RMHP-16-1215-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/96f64fdf44f0/RMHP-16-1215-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/2cfe91b86601/RMHP-16-1215-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/bf10605b7ddc/RMHP-16-1215-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/1f468687a4f1/RMHP-16-1215-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/153134f1a1c2/RMHP-16-1215-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/fc3de2b665df/RMHP-16-1215-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/96f64fdf44f0/RMHP-16-1215-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/2cfe91b86601/RMHP-16-1215-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a164/10325849/bf10605b7ddc/RMHP-16-1215-g0006.jpg

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