Evidence mapPaperPMID 40403002Full record

ArticlePloS one2025

Impact of Diagnosis-Intervention Packet (DIP) reforms on inpatient services for low-income populations in central China: A multi-stage interrupted time-series analysis.

Keyi Shen, Yingying Tao, Yile Li, Ziqian Jin, Chengcheng Li, Dan Wu, Xuehui Meng

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Keyi ShenSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0009-0004-1930-2436
Yingying TaoSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Yile LiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Ziqian JinSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Chengcheng LiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Dan WuSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Xuehui MengSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0000-0003-1895-8607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As global healthcare costs continue to rise, concerns about health equity have become increasingly prominent. In response, China introduced the Diagnosis-Intervention Packet (DIP) reform in 2021 to optimize healthcare resource allocation and control costs. While the reform has been widely discussed in terms of its overall cost-control effects, its heterogeneous impact on low-income populations, especially across different hospital tiers, remains unclear. This study aims to fill this gap by examining the differentiated impact of the DIP reform on low-income patients' inpatient service utilization. Using multi-stage interrupted time series (ITS) analysis, we analyzed 1.17 million hospitalization records from low-income patients in City S, a pilot city in central China. The study reveals that DIP significantly reduced total hospitalization costs and length of stay (LOS) but led to increased readmission rates, indicating a trade-off between efficiency gains and potential risks to care quality. The reform's effects varied by hospital tier: primary hospitals saw increased demand for non-acute hospitalization due to reduced out-of-pocket (OOP) payments, exposing resource shortages; secondary hospitals balanced cost control and revenue by shortening stays and increasing admission frequency, which raised readmission risks; and tertiary hospitals, treating critically ill patients, enhanced treatment completeness, though multiple hospitalizations were still needed for full recovery. The study introduces a two-dimensional framework- "hospital tier-policy cycle"-demonstrating that differences in service capacity across hospital levels are central to the heterogeneous effects of the DIP reform. These findings suggest that future policies should strengthen primary care resources, introduce quality assurance mechanisms, and consider bundled payment models for critical care. This research contributes valuable insights for optimizing equity in DIP reform and offers implications for similar healthcare payment systems globally.

Indexed as

Health Care ReformHospitalizationPovertyAdultAgedChinaFemaleHumansInpatientsInterrupted Time Series AnalysisLength of StayMaleMiddle AgedPatient Readmission

Identifiers

PMID40403002
PMCPMC12143900

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.