Evidence map›Paper›PMID 42077942›Full record

ArticleFrontiers in public health2026

The economic burden of Hospital-Acquired Infections on cancer patients under China's pioneering Diagnosis-Intervention Packet payment model: a retrospective study.

Jiao Liu, Min Xu, Xu Ju, Xue-Er Peng, Xue Xia, Huan Li

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PubMed Full text at PMC Publisher
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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.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Jiao Liu *Department of Hospital Infection Control, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Min Xu *Medical Insurance Office, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xu JuDepartment of Hospital Infection Control, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xue-Er PengDepartment of Hospital Infection Control, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xue XiaMedical Insurance Office, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Huan LiDepartment of Hospital Infection Control, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to analyze the distribution and economic burden of cancer-related nosocomial infections under the Diagnosis-Intervention Packet (DIP) payment model. Methods: A retrospective study was conducted using 2024 medical insurance and healthcare-associated infection (HAI) data from discharged patients at a regional cancer center. We compared the differences in medical insurance settlement indicators between HAI and non-HAI patients within major DIP categories, as well as among different HAI types. After adjusting for time-dependent bias and confounding factors via risk-set matching, we further compared the above indicators between HAI and non-HAI patients, and generalized linear model (GLM) was used to identify independent factors for DIP settlement difference. Results: HAIs were most concentrated in the DIP category Conclusion: Using DIP payment differentials to assess the economic burden of HAIs is more scientifically valid. Cancer-associated HAIs significantly increase medical resource consumption and economic burden. Implementing infection prevention and control strategies at the DIP categories, particularly for MDRO infections, may help reduce additional costs and improve the balance of medical insurance payments.

Indexed as

Cost of IllnessCross InfectionNeoplasmsAdultAgedChinaFemaleHumansMaleMiddle AgedRetrospective Studiescancerdiagnosis-intervention packeteconomic burdenmedical insurance payment reformnosocomial infectionpublic health

Identifiers

PMID42077942
PMCPMC13128657

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