Evidence map›Paper›PMID 40163270›Full record

ArticleHealth economics review2025

Impacts of the diagnosis-intervention packet reform on costs and healthcare resource utilization: evidence from Guangzhou, China.

Bingxue Fang, Yawen Jiang

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

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Bingxue FangSchool of Public Health (Shenzhen), Sun Yat-Sen University, 66 Gongchang Road, Guangming District, Shenzhen, Guangdong, China.
Yawen JiangSchool of Public Health (Shenzhen), Sun Yat-Sen University, 66 Gongchang Road, Guangming District, Shenzhen, Guangdong, China. jiangyw26@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-0498-0662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis-intervention packet (DIP) payment reform, utilizing big data for patient classification and payment standardization, was initially developed and piloted in China. Guangzhou, the pilot mega-city, rolled out DIP payment reform in 2018 to regulate medical expenditures. We estimated the impacts of DIP on costs and healthcare resource utilization in Guangzhou using a nine-year panel data set of Guangzhou and other regions between 2018 and 2020.

methodsBy employing the synthetic difference-in-difference (SDID) method, we captured changes in outcome variables before and after DIP implementation in Guangzhou and non-reforming regions.

resultsDIP payment reform increased per-episode inpatient costs by CNY 1574.735 (95% CI: 148.330 to 3001.140, P < 0.05), CNY 1583.413 (95% CI: 247.356 to 2919.470, P < 0.05), and CNY 1448.065 (95% CI: -132.051 to 3028.181.140, P < 0.1) among all hospitals, public hospitals, and private hospitals, respectively. In contrast, DIP had little effect on the average length of stay (LOS) among all hospitals from 2018 to 2020. Although DIP did not impact in-hospital mortality (IHM) overall, it increased IHM by 0.330 percentage points (95% CI: 0.008 to 0.652, P < 0.05) and 0.311 percentage points (95% CI: 0.158 to 0.463, P < 0.01) among private hospitals and secondary hospitals.

conclusionsOur results suggest that the effects of DIP payment reform were mixed. While it did increase healthcare costs, its impacts on quality and operation efficiency varied significantly across different types of hospitals.

Indexed as

Diagnosis-intervention packet (DIP)GuangzhouHealthcare resource utilizationPayment reformPer-episode inpatient costs

Identifiers

PMID40163270
PMCPMC11956188

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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.