Evidence map›Paper›PMID 38907246›Full record

ArticleBMC health services research2024

Exploring hot topics and evolutionary paths in the Diagnosis-Related Groups (DRGs) field: a comparative study using LDA modeling.

Xinrui Chen, Meng Zhang, Qingqing Bu, Bo Tan, Peng Peng, Yilin Zhou, Yuqin Tang, Xiaoqin Tian, Dan Deng

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xinrui ChenSchool of Public Health, Chongqing Medical University, Chongqing, China.
Meng ZhangSchool of Public Health, Chongqing Medical University, Chongqing, China.
Qingqing BuSchool of Public Health, Chongqing Medical University, Chongqing, China.
Bo TanSchool of Public Health, Chongqing Medical University, Chongqing, China.
Peng PengSchool of Public Health, Chongqing Medical University, Chongqing, China.
Yilin ZhouSchool of Public Health, Chongqing Medical University, Chongqing, China.
Yuqin TangSchool of Public Health, Chongqing Medical University, Chongqing, China.
Xiaoqin TianSchool of Public Health, Chongqing Medical University, Chongqing, China.
Dan DengSchool of Public Health, Chongqing Medical University, Chongqing, China. 100079@cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis 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.

methodsAbstracts 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.

resultsA 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.

conclusionsCurrently, 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.

Indexed as

Diagnosis-Related GroupsChinaDiagnosis-related groupEvolutionary pathsHot topicsLDA model

Identifiers

PMID38907246
PMCPMC11191315

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.