Evidence map›Paper›PMID 40401074›Full record

ArticleFrontiers in public health2025

Impact of diagnosis-intervention packet payment on the consistency of hospitalization expenses across different medical insurance schemes in China.

Jin Zi-Qian, Li Yi-Le, Tao Ying-Ying, Shen Ke-Yi, Lin Xin-Hao, Pei Tong, Li Cheng-Cheng, Wu Dan, Meng Xue-Hui

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. 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

9 authors.

Jin Zi-Qian *School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Li Yi-Le *School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Tao Ying-YingSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Shen Ke-YiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Lin Xin-HaoSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Pei TongSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Li Cheng-ChengSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Wu DanSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Meng Xue-HuiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Diagnosis-Intervention Packet Payment (DIP) system is regarded as a localized cost-control strategy in China. It aims to improve healthcare efficiency, curb the growth of medical expenses, and optimize the allocation of medical resources among diverse groups. Objective: This study aims to assess the impact of DIP payment reforms on differential changes in patients' hospitalization expense and to explore the degree of concentration of hospitalization expense for patients with different insurance schemes undergoing treatment for typical diseases, with a view to providing policy recommendations for improving the medical insurance system. Methods: Data were collected from patients with cerebral infarction (CI) and coronary atherosclerotic heart disease (CAD) treated at primary, secondary, and tertiary hospitals in S City of China, from 2020 to 2023. Patients were classified into the Urban Employees' Basic Medical Insurance (UEBMI) group and the Urban and Rural Residents' Medical Insurance (URRMI) group based on two health insurance schemes. Propensity Score Matching (PSM) was employed to ensure a balanced sample. The changes and trends in hospitalization expenses across different groups were analyzed using the interquartile Range (IQR), standard deviation (SD), and concentration index. Results: Post-DIP reform, hospitalization expenses for patients with different diseases at various levels of hospitals have decreased annually. Regarding expenses variation, the standard deviation (SD) of hospitalization expenses for both UEBMI and URRMI exhibited a downward trend, with a decrease in the double-difference value each year. From the perspective of expenses concentration, all concentration indices were less than 0 (statistically significant, Conclusion: The DIP reform can effectively increase the concentration of hospitalization expenses, reduce the variability of changes in hospitalization expenses for both UEBMI and URRMI, and drive medical practices toward standardization and consistency. However, the degree of this expense reduction varies among the hospitals at all levels.

Indexed as

Health ExpendituresHospitalizationInsurance, HealthAdultAgedChinaFemaleHumansMaleMiddle AgedChinaDiagnosis-Intervention Packet (DIP)expense consistencyhealth insurance schemespayment reform

Identifiers

PMID40401074
PMCPMC12092421

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.