Evidence map›Paper›PMID 39050613›Full record

ArticleFrontiers in public health2024

Administrative regulation-informed analysis of the developmental path of national volume-based procurement to improve drug accessibility in China.

Songxin Lu, Xiangdong Liu, Zhengzong Huang, Zhiheng Zhou, Zehua Feng

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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.

Songxin Lu *School of Economic, Shenzhen Polytechnic University, Shenzhen, China.
Xiangdong Liu *Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China.
Zhengzong HuangCollege of Humanities and Social Sciences, Shenzhen Technology University, Shenzhen, China.
Zhiheng ZhouPingshan Hospital, Southern Medical University, Shenzhen, China.
Zehua FengSchool of Law, Guangdong University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The procurement of medicines via China's national volume-based procurement (NVBP) necessitates collaboration among various entities. This paper highlights the legal significance of the engagement of pharmaceutical companies, hospitals, and the National Healthcare Security Administration (NHSA) in improving drug accessibility. Methods: We conducted a numerical simulation using MATLAB to develop an evolutionary game model involving these three participants in NVBP. Results: Our findings indicate that the final evolutionary stabilization strategies are pharmaceutical companies actively participating, hospitals using bid-winning medicines, and the NHSA implementing a low-intensity intervention. The study reveals that the evolutionary outcomes for hospitals and pharmaceutical companies are significantly affected by factors such as NHSA's subsidy level and pharmaceutical companies' level of participation. However, NHSA's decision-making process is less influenced by these factors. Discussion: From a legal perspective, the successful implementation of NVBP, ensuring fairness and legality, requires adherence to relevant policies and regulations. The NHSA should employ statutory incentives and regulatory methods in formulating and adjusting NVBP policy to enable pharmaceutical companies, hospitals, and the NHSA to exercise their rights rationally within the legal framework of the game process.

Indexed as

Drug IndustryChinaHealth Services AccessibilityHospitalsHumansadministrative regulationdrug accessibilityevolutionary gamegeneric drugnational volume-based procurement

Identifiers

PMID39050613
PMCPMC11266034

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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.