Evidence map›Paper›PMID 42293599›Full record

ArticleFrontiers in public health2026

Do non-local hospitalized patients cost more? A comparative study based on the implementation of the DRG payment.

Wenbo Du, Xuxian Ren, Yaxin Liu, Hui Yu, Yuying Luo, Xin Yao, Jin Wen

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Wenbo DuChongqing Medical University-University of Leicester Joint Institute, Chongqing Medical University, Chongqing, China.
Xuxian RenChongqing Medical University-University of Leicester Joint Institute, Chongqing Medical University, Chongqing, China.
Yaxin LiuInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.
Hui YuSichuan Health Information Center, Chengdu, China.
Yuying LuoSichuan Health Information Center, Chengdu, China.
Xin YaoSichuan Health Information Center, Chengdu, China.
Jin WenInstitute of Hospital Management, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study investigates whether non-local patients-those hospitalized outside their registered insurance region-incur higher medical expenditures than local patients under China's Diagnosis-Related Groups (DRG) payment reform. Total hip arthroplasty (THA) was used as a standardized clinical model to evaluate cost disparities and potential cost-shifting behaviors post-reform. Methods: We analyzed 55,532 THA inpatient records from Sichuan Province (2015-2023), classifying patients as local or non-local. Descriptive statistics and univariate tests were conducted using R and SPSS. A multi-period difference-in-differences (DID) model was employed to estimate the reform's impact, adjusting for individual, institutional, and temporal variables. Results: Non-local patients consistently incurred higher hospitalization costs, despite being younger and having fewer comorbidities. Prior to DRG implementation, the average cost gap was CNY 2,730, mainly from treatment and examination fees. Post-DRG, the gap widened to CNY 2,869 ( Conclusion: DRG payment reform effectively reduced costs for local patients but was linked to selective cost increases for non-local patients, particularly in treatment-related spending. These findings suggest that mixed reimbursement models may incentivize differential billing. Ongoing monitoring of expenditure structures is crucial to ensure equitable policy outcomes.

Indexed as

Arthroplasty, Replacement, HipDiagnosis-Related GroupsHealth ExpendituresHospitalizationAdultAgedChinaFemaleHumansMaleMiddle Agedcost-shiftingDRG paymenthealthcare expenditurenon-local patientstotal hip arthroplasty (THA)

Identifiers

PMID42293599
PMCPMC13259683

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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.