Evidence map›Paper›PMID 41484612›Full record

ArticleBMC health services research2026

Impact of diagnosis-related group systems on inpatient expenditures and medical quality for children with leukemia: evidence from real-world data.

Jiahui Wang, Lianhong Che, Yuanpei Wang, Luo Yi

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiahui Wang *School of Politics and Public Administration, Soochow University, Suzhou, Jiangsu Province, China.
Lianhong Che *School of Politics and Public Administration, Soochow University, Suzhou, Jiangsu Province, China.
Yuanpei Wang *Children's Hospital of Soochow University, 92 Zhongnan Street, Wuzhong District, Suzhou, Jiangsu Province, 215025, China.
Luo YiChildren's Hospital of Soochow University, 92 Zhongnan Street, Wuzhong District, Suzhou, Jiangsu Province, 215025, China. luoyisz@126.com.

Funding

Jiangsu Province Maternal and Child Health Care Scientific Research Project F202224National Natural Science Foundation of China 72404202
6 · The paper itself

Abstract

backgroundIn 2021, nationwide Diagnosis-Related Groups (DRG) reform was initiated and the DRG-based medical insurance payment method has been widely applied in China. However, few studies focused on pediatric leukemia patients where the inherent tension between cost control and nursing quality is particularly pronounced and systematically explored whether DRG has controlled unnecessary expenditures, optimized cost structures, while maintaining the quality, which warrants urgent evaluation.

methodThis study analyzed hospitalization data for pediatric leukemia patients treated at the Children’s Specialized Hospital in City U between October 2022 and July 2024. Patients were categorized into two groups based on whether their hospitalizations were settled using the DRG payment system. Quantile regression, beta regression with a logit link function, and logistic regression were employed to evaluate the effect of DRG reform on hospitalization costs, the proportion of medical expenses, 30-day readmission rates and improvement, respectively. Propensity Score Matching is used to balance the characteristic differences between samples in DRG group and the Non-DRG group.

resultBoth before and after matching, patients under the DRG payment model consistently exhibited a significantly lower proportion of medication expenses (OR = 0.774–0.806), a higher proportion of diagnostic testing expenses (OR = 1.135–1.157) and a higher proportion of consumables expenses (OR = 1.127–1.151 ) compared to those under the non-DRG model. No significant effects were observed on outcomes variables of hospitalization expense and medical quality.

conclusionAs an early situational evaluation, this study indicates that while DRG reform has not yet reduced total expenditures for pediatric leukemia due to rigid treatment protocols, it has significantly altered the cost structure by shifting resource allocation from medications to diagnostics and consumables. This transformation reflects an initial optimization of cost structure but also highlights the need to monitor the rationality of diagnostic expenditures to prevent compensatory cost-shifting. Furthermore, no effect on proportion of treatment expenses suggests that the valuation of medical staff labor requires further improvement. DRG reform is limited in its ability to reduce overall expenditures, efforts should continue to control medical costs by optimizing DRG payment methods, enhancing medical security for children with leukemia, and strengthening expense monitoring.

Indexed as

Diagnosis-Related GroupsHealth ExpendituresHospitalizationLeukemiaQuality of Health CareAdolescentChildChild, PreschoolChinaFemaleHumansInfantMaleChildren with leukemiaDiagnosis-related groupMedical expenses

Identifiers

PMID41484612
PMCPMC12777343

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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.