Evidence map›Paper›PMID 41113813›Full record

ArticleFrontiers in health services2025

Impact analysis of DRG payment reform on hospitalization expenses and length of stay for lung cancer inpatients (2019-2023).

Mingbo Chen, Dongfeng Pan, Ting Pan, Zhuo Liu, Yuhui Geng, Xiaojuan Ma, Peifeng Liang

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. 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

7 authors.

Mingbo ChenSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Dongfeng PanDepartment of Emergency Medicine, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Ting PanSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Zhuo LiuSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Yuhui GengSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Xiaojuan MaSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Peifeng LiangMedical Affairs Department, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Globally adopted as a contemporary hospital management methodology, DRG payment systems aim to improve cost-efficiency, advance clinical service quality, and maintain treatment safety. Through empirical analysis of lung cancer inpatient data, this study quantifies the policy's effects on medical expenditure patterns and efficiency metrics, offering evidence-based insights for optimizing healthcare resource management. Methods: Using ITS analysis, we developed a segmented regression model to evaluate the longitudinal effects of DRG-based payment reform on healthcare expenditure and LOS for lung cancer patients at a regional tertiary hospital in Northwest China. Results: The analytical cohort comprised 1,076 consecutively admitted lung cancer patients. ITS analysis revealed: (1) No significant immediate changes in total hospitalization costs ( Conclusion: While DRG reform serves as an essential resource allocation mechanism, our findings reveal paradoxical outcomes. The implementation showed limited efficacy in reducing aggregate costs and LOS while provoking structural cost shifts marked by escalated diagnostic and pharmaceutical expenditures. These unintended economic consequences may distort clinical practices, potentially compromising both pharmacoeconomic efficiency and service quality.

Indexed as

diagnosis-related-group (DRG)hospitalization expensesinterrupted time series (ITS)length of stay (LOS)lung cancer

Identifiers

PMID41113813
PMCPMC12531130

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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.