Glied Sherry
Robert F. Wagner Graduate School of Public Service, New York University, 295 Lafayette St., 2nd Floor, New York, NY 10012 USA.
Isr J Health Policy Res. 2016 Jun 29;5:31. doi: 10.1186/s13584-016-0091-6. eCollection 2016.
As Ellen et al. point out, there is room for improvement in knowledge transfer between academic research and policymaking. At the same time, retrospective analyses of health policy often identify research influences on policymaking. Part of this paradox can be explained by the difference between the nature of research and the nature of policymaking. Research necessarily focuses on the past, examining changes that have already taken place. Policymakers want to understand how policy will shape the future. A key element of successful knowledge transfer is the use of mechanisms that allow past research to be used to forecast future policy consequences. One such mechanism is the formal microsimulation model, which translates research-based parameters into out-of-sample forecasts. A more straightforward mechanism is the embedded researcher, who extrapolates from a body of research knowledge to make a policy forecast. These types of mechanisms can supplement formal processes of knowledge transfer.
正如埃伦等人所指出的,学术研究与政策制定之间的知识转移仍有改进空间。与此同时,对卫生政策的回顾性分析常常能发现研究对政策制定的影响。这种矛盾的部分原因可以用研究性质与政策制定性质之间的差异来解释。研究必然聚焦于过去,审视已经发生的变化。政策制定者则希望了解政策将如何塑造未来。成功的知识转移的一个关键要素是运用各种机制,使过去的研究能够用于预测未来的政策后果。其中一种机制是正式的微观模拟模型,它将基于研究的参数转化为样本外预测。一种更直接的机制是嵌入式研究者,他们从一系列研究知识中进行推断以做出政策预测。这些机制类型可以补充知识转移的正式流程。