Evidence map›Paper›PMID 37264450›Full record

ArticleBMC health services research2023

Variations in the impact of the new case-based payment reform on medical costs, length of stay, and quality across different hospitals in China: an interrupted time series analysis.

Xue Tang, Xinyu Zhang, Yajing Chen, Jiaqi Yan, Mengcen Qian, Xiaohua Ying

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Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

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31citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xue Tang *School of Public Health, Fudan University, Shanghai, China.
Xinyu Zhang *School of Public Health, Fudan University, Shanghai, China.
Yajing ChenSchool of Public Health, Fudan University, Shanghai, China.
Jiaqi YanSchool of Public Health, Fudan University, Shanghai, China.
Mengcen QianSchool of Public Health, Fudan University, Shanghai, China.
Xiaohua YingSchool of Public Health, Fudan University, Shanghai, China. xhying@fudan.edu.cn.

Funding

National Healthcare Security Research Center of Capital Medical University YB2020B01National Natural Science Foundation of China 72074051
6 · The paper itself

Abstract

backgroundIn 2018, an innovative case-based payment scheme called Diagnosis-Intervention Packet (DIP) was piloted in a large developed city in southern China. This study aimed to investigate the impact of the new payment method on total medical expenditure per case, length of stay (LOS), and in-hospital mortality rate across different hospitals.

methodsWe used the de-identified patient-level discharge data of hospitalized patients from 2016 to 2019 in our study city. The interrupted time series model was used to examine the impact of the DIP payment reform on inflation-adjusted total expenditure per case, LOS, and in-hospital mortality rate across different hospitals, which were stratified into different hospital ownerships (public and private) and hospital levels (tertiary, secondary, and primary).

resultsWe included 2.08 million and 2.98 million discharge cases of insured patients before and after the DIP payment reform, respectively. The DIP payment reform resulted in a significant increase of the monthly trend of adjusted total expenditure per case in public (1.1%, P = 0.000), tertiary (0.6%, P = 0.000), secondary (0.4%, P = 0.047) and primary hospitals (0.9%, P = 0.039). The monthly trend of LOS increased significantly in public (0.022 days, P = 0.041) and primary (0.235 days, P = 0.032) hospitals. The monthly trend of in-hospital mortality rate decreased significantly in private (0.083 percentage points, P = 0.002) and secondary (0.037 percentage points, P = 0.002) hospitals.

conclusionsWe conclude that implementing the DIP payment reform yields inconsistent consequences across different hospitals. DIP reform encouraged public hospitals and high-level hospitals to treat patients with higher illness severities and requiring high treatment intensity, resulting in a significant increase in total expenditure per case. The inconsistencies between public and private hospitals may be attributed to their different baseline levels prior to the reform and their different responses to the incentives created by the reform.

Indexed as

Health ExpendituresHospitals, PublicChinaHumansInterrupted Time Series AnalysisLength of StayDifferent hospitalsDIPIn-hospital mortalityLength of stayTotal expenditure

Identifiers

PMID37264450
PMCPMC10236872

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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.