Evidence map›Paper›PMID 39624872›Full record

ArticleInternational journal of health policy and management2024

Impact of the Diagnosis-Intervention Packet Payment Reform on Provider Behavior in China: A Controlled Interrupted Time Series Study.

Ruixin Wang, Jiaqi Yan, Xinyu Zhang, Mengcen Qian, Xiaohua Ying

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Article in International journal of health policy and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing 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.

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  15. Healthcare Provision Shifts Under DIP Reform: From Conventional Medicine to Traditional Medicine.Inquiry : a journal of medical care organization, provision and financing
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruixin WangSchool of Public Health, Fudan University, Shanghai, China.
Jiaqi YanSchool of Public Health, Fudan University, Shanghai, China.
Xinyu ZhangSchool 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina has developed a novel case-based payment method called the DiagnosisIntervention Packet (DIP) to regulate healthcare providers' behavior. G city, a metropolis in southeast China, has shifted its payment policy from fixed rate per admission to DIP under regional global budget since 2018. This study examined the immediate and trend changes in provider behavior after this payment reform.

methodsDischarge data in G city between 2016 and 2019 was used, covering more than 10 million inpatient cases in 320 hospitals. A counterfactual scenario was developed to assign insured and uninsured inpatients across the study period to specific DIP groups under consistent rules. Controlled interrupted time-series (ITS) analyses were performed, with uninsured inpatients as control. Outcomes included inpatient volume, average DIP weight (similar to case-mix index in Diagnosis-Related Groups), and two innovative indicators (average diagnostic weight and average treatment weight) to decompose the changes in DIP weight. Subgroup analyses were conducted for different hospital levels and 21 major disease categories.

resultsAfter the DIP reform, monthly trend of inpatient volume decreased (-1085.34, P=0.052), while monthly growth of average DIP weight increased (2.17, P=0.02). No significant changes in average diagnostic weight were observed. Monthly trend of average treatment weight increased (2.38, P=0.001) after the reform. Secondary and tertiary hospitals experienced insignificantly decreased inpatient volume and elevated average DIP weight, accompanied by negligible change in average diagnostic weight and significant increase in average treatment weight. Primary hospitals experienced reduced inpatient volume and stable average DIP weight, along with increase in average diagnostic weight and decrease in average treatment weight.

conclusionBy differentiated payments for severity, DIP induced hospitals to shift their focus from volume to weight of inpatients. Instead of diagnostic upcoding, hospitals responded to the DIP reform primarily by increasing treatment intensity. Primary hospitals may face financial risks under regional competition.

Indexed as

ChinaDiagnosis-Intervention PacketInterrupted Time SeriesPayment ReformProvider Behavior

Identifiers

PMID39624872
PMCPMC11806229

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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.