Evidence map›Paper›PMID 40270721›Full record

ArticleFrontiers in public health2025

Research on the quality supervision strategy of drugs sold on the internet under the MAH system.

Zongliang Wen, Jialin Chen, Li Zhou, Long Bai, Shenqin Wu, Yun Zhao, Jinhua Fang

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zongliang Wen *School of Management, Xuzhou Medical University, Xuzhou, China.
Jialin Chen *School of Management, Xuzhou Medical University, Xuzhou, China.
Li Zhou *School of Management, Xuzhou Medical University, Xuzhou, China.
Long BaiSchool of Public Health, Xuzhou Medical University, Xuzhou, China.
Shenqin WuSchool of Management, Xuzhou Medical University, Xuzhou, China.
Yun ZhaoSchool of Management, Xuzhou Medical University, Xuzhou, China.
Jinhua FangSchool of Management, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, purchasing medications online has become increasingly popular. However, occasional quality issues have arisen with drugs bought online. As a result, we need effective quality monitoring of medicines sold online. To address this issues, several countries have begun to implement the Marketing Authorization Holder (MAH) system to enhance drug quality control. Methods: Consequently, this paper develops a four-party evolutionary game model that includes the government, holder, agent seller and third-party platform in pharmaceutical online sales, and use Matlab 2022b to carry out numerical simulation, and to compare and analyze the influence of different factors on the strategy selection of the main body of the game by changing parameters. This paper is based on the multi-party game perspective, constructed a hierarchical model, thereby better exploring the mechanism of drug quality regulation in the context of drug online sales under the MAH system. Results: Findings suggest that reducing operational costs motivates agent sellers to adopt stable, honest strategies. Increased government penalties expedite the adoption of positive strategies by sellers, holders, and third-party platforms. Enhanced penalties from holders and platforms for defaults effectively regulate seller behavior. Additionally, reputation rewards or losses incentivize sellers to adopt honest practices, with consumer and sellers' reputations influencing the likelihood of comprehensive third-party platform reviews. Conclusions: In summary, policy makers should improve the regulatory mechanism, establish a fair system of rewards and penalties, develop a compensation mechanism for information sharing, deregulate prices and enhancing feedback channels.

Indexed as

CommerceInternetMarketingQuality ControlGame TheoryHumansPharmaceutical PreparationsPharmaceutical Preparationsdrug quality supervisionevolutionary gameMAH systemonline sales of drugssimulation analysis

Identifiers

PMID40270721
PMCPMC12014731

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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.