Real-World Evidence for Drug Value Assessment in China: Learning from International Experiences.

IF 2 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2026-06-01 Epub Date: 2026-06-04 DOI:10.1007/s40801-026-00557-7
Abraham G Hartzema, Adel Gehchan, Jennifer D Guo, Jianwei Xuan
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引用次数: 0

Abstract

In China, the national medical insurance system has undergone rapid development over the past two decades. The National Healthcare Security Administration was established to manage the growing healthcare expenditure. Since then, this administration has maintained the drug formulary, known as the National Reimbursement Drug List. The list comprises Category A (essential and cost-effective drugs) and Category B (effective drugs with relatively higher cost profiles), with the Commercial Insurance Innovative Drug list (referred to as Category C) added in 2025. China has made progress in adopting real-world evidence into healthcare decision making. Real-world evidence helps address key uncertainties related to safety, effectiveness, and long-term outcomes to complement clinical trial findings using real-world data from routine clinical practice. Evolving international experiences provide practical insights into the use of real-world evidence to support drug reimbursement and reassessment decisions. This paper proposes practical strategies supporting the integration of real-world evidence into China's drug value assessment to better inform national formulary management and reimbursement pathways.

中国药品价值评估的现实证据:借鉴国际经验。
在过去的二十年里,中国的全民医疗保险制度经历了快速发展。成立了国家医疗保障局,以管理不断增长的医疗支出。从那时起,该管理部门一直维持着药物处方,即国家报销药物清单。该清单包括A类(基本且具有成本效益的药物)和B类(成本相对较高的有效药物),并于2025年增加了商业保险创新药物清单(称为C类)。中国在医疗保健决策中采用真实世界证据方面取得了进展。真实世界的证据有助于解决与安全性、有效性和长期结果相关的关键不确定性,以补充常规临床实践中使用的真实世界数据的临床试验结果。不断发展的国际经验为利用真实世界证据支持药品报销和重新评估决策提供了实际见解。本文提出了支持将真实证据纳入中国药品价值评估的实用策略,以更好地为国家处方管理和报销途径提供信息。
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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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