摘要
文章梳理了基于真实世界数据开展慢性非传染性疾病防治体系效果评估的方法学框架,阐述了评估目的和框架的确定、研究型数据库的建立、评估方案的构建以及结果解释4个步骤;以脑卒中整合防治体系效果评估为例,介绍了如何提出评估假设、如何评估数据库匹配度、如何选择干预一对照组以及如何选择并构建统计分析模型,最后解释评估结果。总体而言,基于真实世界数据开展体系效果评估相比试验控制条件下的评估更为复杂,但通过选择合适的数据资源、严格的设计和分析可获得高质量证据,解决具体的管理问题。
It presents a methodological framework for evaluating the effectiveness of chronic disease prevention systems using real world data,including the determination of the purpose,the establishment of the research-based database,the construction of an evaluation protocol and the interpretation of the results.Taking the effectiveness evaluation of the integrated prevention and the treatment system for stroke as an example,it describes how to formulate the evaluation hypothesis,how to assess the database matching degree,how to select the intervention-control group,how to select and construct statistical analysis models,and how to explain the evaluation results.Overall,the evaluation of system effectiveness based on real-world data is more complex than the evaluation under experimental conditions,but through the selection of appropriate data resources,rigorous design and analysis,high-quality evidence can be obtained to solve specific management problems.
作者
李芬
陈玉倩
朱碧帆
张珺茹
侯志英
金春林
LI Fen;CHEN Yu-qian;ZHU Bi-fan(Shanghai Health Development Research Center(Shanghai Medical Information Center),Shanghai,200031,China)
出处
《中国卫生经济》
北大核心
2021年第10期27-30,共4页
Chinese Health Economics
基金
上海市卫生健康委员会优青培养项目(2018YQ51)
上海市科委面上项目(20692105200)。
