Evidence map›Paper›PMID 41452843›Full record

ArticlePloS one2025

Impact of Chinese national centralized volume-based drug procurement policy on health costs and utilization: An interrupted time series analysis using panel data (2009-2022).

Yishi Jiang, Guangsheng Wan, Yufeng Shi, Guiping Pu, Xiaojun Shao

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Yishi JiangNHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Guangsheng WanCollege of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Yufeng ShiCollege of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Guiping PuCollege of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Xiaojun ShaoCollege of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.ORCID https://orcid.org/0009-0009-9231-4202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChinese volume-based procurement (VBP) policy, implemented nationally in 2019, represents a cornerstone of healthcare reform aiming to reduce drug prices through centralized drug procurement. While existing studies have demonstrated the success of the VBP policy in lowering drug costs, comprehensive assessments of system-wide impacts on healthcare expenditures and service utilization remain underexplored. This study evaluates its effects on outpatient and inpatient service costs and volumes. MATERIALS AND

methodsWe conducted an interrupted time series analysis using panel data (2009-2022) from the China Health Statistical Yearbook and the China Statistical Yearbook. Primary outcomes included CPI(Consumer Price Index)-adjusted per-visit outpatient(OP)/inpatient(IP) expenditures, hospital OP rates, hospital IP rates, and length of stay. Segmented regression models quantified immediate and long-term policy effects, with two-stage meta-analysis evaluating regional heterogeneity. RESULTS AND DISCUSSION: When the VBP implementation occurred, per-visit outpatient costs (β2 = 21.400, P < 0.001) and inpatient costs (β2 = 693.749, P = 0.006) showed an instantaneous increasing trend. The post-policy long-term trend was decreasing annually by 5.702 Chinese Yuan (CNY) (P < 0.001) for per-visit outpatient costs and 270.670 CNY (P = 0.012) for per-visit inpatient costs compared to the pre-policy period. Hospital OP rates immediately decreased by 0.510 visits (P < 0.001) while hospital IP rates dropped by 3.775 percentage points (P < 0.001), with length of stay increasing by 0.522 days (P < 0.001) immediately after the policy was implemented. Hospital OP rates had a modest increasing trend (β3 = 0.069, P = 0.046). Marked regional heterogeneity was observed (I² = 64.6-88.3%), with municipalities showing the most pronounced variations.

conclusionsChinese national centralized volume-based drug procurement policy has significantly reduced drug prices but initially increased non-drug costs. Regional disparities linked to aging demographics and complementary reforms (e.g., Diagnosis Related Group) shaped outcomes, while COVID-19 temporarily suppressed utilization. Future policy optimization should integrate Diagnosis Related Group payment reforms with regionally tailored strategies to balance cost containment and service quality. We recommend enhancing temporal resolution and extending observation periods to enable more precise policy evaluation.

Indexed as

Drug CostsHealth Care CostsHealth PolicyChinaHealth ExpendituresHumansInterrupted Time Series AnalysisLength of Stay

Identifiers

PMID41452843
PMCPMC12742737

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LicenceCC BY
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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.