Evidence map›Paper›PMID 41755903›Full record

ArticleRisk management and healthcare policy2026

Informing Hospital Formulary Decisions in China: A Multi-Criteria Value Framework for GLP-1 Receptor Agonists.

Yuancheng Jiang, Dan Qin, Sitong Lin, Xingxing Xu, Haiyin Wang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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

5 authors.

Yuancheng JiangDepartment of Pharmacy Management, College of International Pharmaceutical Business School, China Pharmaceutical University, Nanjing, People's Republic of China.
Dan QinDepartment of Pharmacy, School of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, People's Republic of China.
Sitong LinDepartment of Pharmacy Management, College of International Pharmaceutical Business School, China Pharmaceutical University, Nanjing, People's Republic of China.
Xingxing XuDepartment of Pharmacy Management, College of International Pharmaceutical Business School, China Pharmaceutical University, Nanjing, People's Republic of China.
Haiyin WangHealth Technology Assessment Research Department, Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: GLP-1 receptor agonists have attracted increasing attention due to their dual efficacy in glycemic control and weight reduction. Although several GLP-1 receptor agonists have been included in China's National Reimbursement Drug List, their actual adoption at the hospital level still faces multiple challenges. A well-structured evaluation framework is urgently needed to facilitate their integration into hospital formularies. This study aims to develop a clinically comprehensive evaluation system for GLP-1 receptor agonists in public hospital drug selection, based on multicriteria decision analysis (MCDA). The goal is to provide a systematic and quantifiable tool to support the rational selection and implementation of GLP-1RAs in public hospitals, thereby enhancing the scientific basis of hospital formulary decisions. Patients and Methods: The study integrates the Delphi method and multi-criteria decision analysis (MCDA), utilizing literature review, expert consultations, and questionnaire surveys to select and assign weights to evaluation indicators. Results: A three-tier evaluation system was established, comprising four primary indicators, eight secondary indicators, and seventeen tertiary indicators. Among them, "Clinical Value" had the highest weight (0.5373), followed by "Hospital Admission Demand" (0.1924) and "Hospital Management" (0.1379), while "Economic Value" had the lowest weight (0.1324). At the tertiary level, "Cost-Effectiveness Advantage", "Glycosylated Hemoglobin", "Cardiovascular, Hepatic, and Renal Benefits", "Addressing Unmet Clinical Needs", and "Hypoglycemia Incidence" contributed most to decision-making. Conclusion: This study fills the gap in clinical evaluation research on GLP-1RA drugs in China. The proposed evaluation system provides scientific support for hospital pharmaceutical management, medical insurance inclusion, and drug procurement, promoting value-based hospital drug selection strategies.

Indexed as

clinical comprehensive evaluationGLP-1RAhealth technology assessmentMCDA

Identifiers

PMID41755903
PMCPMC12935510

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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.