http://jcps.bjmu.edu.cn

中国药学(英文版) ›› 2018, Vol. 27 ›› Issue (7): 510-516.DOI: 10.5246/jcps.2018.07.052

• 【药事管理与临床药学专栏】 • 上一篇    

药物政策效果评估实证方法研究

陈璟, 尹婷, 江滨*   

  1. 北京大学医学部 药学院 药事管理与临床药学系, 北京 100191
  • 收稿日期:2018-03-12 修回日期:2018-04-18 出版日期:2018-07-25 发布日期:2018-04-30
  • 通讯作者: Tel.: +86-13601100121, E-mail: binjiang@bjmu.edu.cn
  • 基金资助:
    China Medical Board (Grant No. 15-221).

Empirical methods in studying the effect of pharmaceutical policies

Jing Chen, Ting Yin, Bin Jiang*   

  1. Department of Administrative and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing 100191, China
  • Received:2018-03-12 Revised:2018-04-18 Online:2018-07-25 Published:2018-04-30
  • Contact: Tel.: +86-13601100121, E-mail: binjiang@bjmu.edu.cn
  • Supported by:
    China Medical Board (Grant No. 15-221).

摘要:

运用实证研究方法对政策效果进行评估是政策评估发展的趋势之一。本研究总结并用应用案例介绍假设检验、分段回归分析的间断时间序列、自回归综合移动平均模型、双重差分模型、混合回归模型、固定效应模型、随机效应模型、倾向得分匹配法、成本-收益分析和成本-效益分析。作者以流程图的形式演示在实际研究中如何依据政策评价目的、是否有对照组、数据类型和数据是否为线性来选择实证研究方法的过程。

关键词: 药物政策, 政策评估, 实证研究方法

Abstract:

Healthcare policies are often evaluated using empirical analysis methods. In this study, we summarized the hypothesis test, segmented regression analysis of interrupted time series, autoregressive integrated moving average model, difference in difference model, pooled regression model, fixed effect model, random effect model, propensity score matching method, cost-benefit analysis, and cost-effectiveness analysis. We also established a flow chart to demonstrate the process of selection of empirical analysis methods based on the purpose of policy evaluation, whether there is a control group, the type of data, and whether the data is linear.

Key words: Pharmaceutical policy, Policy evaluation, Empirical methods

中图分类号: 

Supporting: