Evidence map›Paper›PMID 38618801›Full record

ArticleInternational journal of health policy and management2023

Impact of China's National Volume-Based Procurement on Drug Procurement Price, Volume, and Expenditure: An Interrupted Time Series Analysis in Tianjin.

Boya Zhao, Jing Wu

Open access · diamondAbstract read
In one paragraph

Article in International journal of health policy and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
9.1field-weighted citation impact, top 3% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

20 citing papers in PubMed, 16 citations in OpenAlex.

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  11. Current status and trends of anti-tumor biosimilars in China from 2019 to 2023: A cross-sectional analysis.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
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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

2 authors at 1 institution in 1 country.

Boya ZhaoSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.ORCID 0009-0001-2017-7802
Jing WuSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.ORCID 0000-0002-6012-2785
Tianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational Volume-Based Procurement (NVBP) program has been carried out in China to lower drug prices and reduce patients' medication burden. This study aims to evaluate its impact on drug purchasing in Tianjin city, one of the first 11 cities piloting NVBP in China.

methodsUsing monthly drug procurement data from Tianjin Medical Purchasing Center between 2018 and 2020, this study identified bid-winning drugs and their alternative drugs in the pilot NVBP, and evaluated the policy impacts on their procurement price (cost of defined daily dose, DDDc), volume (the number of defined daily dose, DDDs), and expenditure, during the first (initiated at April 1, 2019) and second (initiated at April 25, 2020) procurement cycles of pilot NVBP, applying interrupted time series (ITS) analysis. Included drugs were classified into 12 pharmacological subgroups for further analysis.

resultsDecrease in DDDc of NVBP-covered drugs (bid-winning and non-winning drugs) were observed in the first (level change: -CNY 3.878/DDD,

conclusionThe pilot NVBP policy in China reduced procurement price, promoted generic substitution, and saved procurement expenditure. However, the increase in procurement price, volume and expenditure of alternative drugs may reveal the significance of regulating healthcare institutions' drug purchasing behavior.

Indexed as

Drugs, GenericHealth ExpendituresChinaCitiesHumansInterrupted Time Series AnalysisDrugs, GenericCentralizedChinaDrug procurementPriceVolumeVolume-based

Identifiers

PMID38618801
PMCPMC10590231
OpenAlexW4386613280

What OpenQuestion holds

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Registered trials

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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.