Yu Seung Rae, Lee Jong Hyuk
College of Pharmacy, Dong-Duk Women's University, Seoul, Republic of Korea.
College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
Front Pharmacol. 2025 Jan 7;15:1519491. doi: 10.3389/fphar.2024.1519491. eCollection 2024.
This study analysed the characteristics of new drugs listed under the pharmaco-economic evaluation exemption (PEE) system from 2015 to 2022 in South Korea and examined the factors influencing the pricing decisions under this system.
A mixed-methods statistical approach was used to comprehensively evaluate the factors influencing drug pricing under PEE system. Descriptive statistics provide an overview of the dataset, while inferential statistics, including t-tests and Pearson's correlation analyses, are used to explore variable associations. Multiple and hierarchical regression models identify and quantify the key determinants of drug prices, controlling for multicollinearity among the variables.
From 2015 to 2022, 30 new drugs were listed under the PEE system. The average annual number of new drugs was four, but this figure significantly increased to eight in 2022. The "KOR/A7 lowest" variable exhibited a strong negative correlation with the budget impact variable (coefficient: 0.838, < 0.001), indicating that drugs with higher budget impact tend to have lower prices compared to the A7 countrie's lowest price.
Since the introduction of the PEE system in South Korea, patient access to new drugs has significantly improved. However, the rising expenditure on pharmaceuticals has made budget impact a significant consideration in pricing decisions, highlighting the need for ongoing monitoring of drug expenditure by payers. As the system evolves, enhanced oversight and policy adjustments will be crucial for balancing cost containment with equitable patient access. Developing tiered RSA models based on drug classification or therapeutic impact could be a viable approach to achieving this balance.
本研究分析了2015年至2022年韩国药物经济学评估豁免(PEE)制度下列出的新药特征,并考察了该制度下影响定价决策的因素。
采用混合方法统计方法全面评估PEE制度下影响药品定价的因素。描述性统计提供数据集的概述,而包括t检验和Pearson相关分析在内的推断性统计用于探索变量关联。多元和分层回归模型识别并量化药品价格的关键决定因素,控制变量间的多重共线性。
2015年至2022年,PEE制度下列出了30种新药。新药的年均数量为4种,但这一数字在2022年显著增加至8种。“KOR/A7最低”变量与预算影响变量呈强负相关(系数:0.838,<0.001),表明与A7国家的最低价格相比,预算影响较高的药品往往价格较低。
自韩国引入PEE制度以来,患者获得新药的机会显著改善。然而,药品支出的不断增加使预算影响成为定价决策中的一个重要考虑因素,凸显了支付方持续监测药品支出的必要性。随着该制度的发展,加强监督和政策调整对于平衡成本控制与公平的患者可及性至关重要。基于药物分类或治疗影响开发分层的RSA模型可能是实现这一平衡的可行方法。