摘要
科学有效的政策评估方法有助于准确衡量医保政策实施效果,提高政策执行效率。本文对医保政策评估常用的研究方法进行整理与比较,结合双重差分、断点回归与机器学习等方法,构建多种DRG/DIP支付方式改革政策评估模型,以提高政策评估结果精确度,助力我国医保支付方式改革工作。
Scientific and effective policy evaluation methods help to accurately measure the effects of basic medical insurance policies and improve the efficiency of policy implementation.This paper summarizes and compares the frequently-used evaluation methods for basic medical insurance,and combines DID,RD and machine learning methods to construct a variety of DRG/DIP payment method reform policy evaluation models to improve the accuracy of policy evaluation results and assist in the reform of medical insurance payment methods in China.
出处
《中国医疗保险》
2024年第7期62-67,共6页
China Health Insurance
基金
河北省财政科研课题“基本医疗保险经办业务与基金财务协同发展机制研究”(HBCZ24KY288)。