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.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.