The public policy cycle requires increasingly the use of evidence by policy makers. Evidence Gap Maps (EGMs) are a relatively new methodology that helps identify, process, and visualize the vast amounts of studies representing a rich source of evidence for better policy making. This document performs a methodological review of EGMs and presents the development of a working integrated system that automates several critical steps of EGM creation by means of applied computational and statistical methods. Above all, the proposed system encompasses all major steps of EGM creation in one place, namely inclusion criteria determination, processing of information, analysis, and user-friendly communication of synthesized relevant evidence. This tool represents a critical milestone in the efforts of implementing cutting-edge computational methods in usable systems. The contribution of the document is two-fold. First, it presents the critical importance of EGMs in the public policy cycle; second, it justifies and explains the development of a usable tool that encompasses the methodological phases of creation of EGMs, while automating most time-consuming stages of the process. The overarching goal is the better and faster information communication to relevant actors like policy makers, thus promoting well-being through better and more efficient interventions based on more evidence-driven policy making.
翻译:公共政策周期需要决策者越来越多地使用证据。证据空白图谱(EGMs)是一种相对较新的方法,有助于识别、处理和可视化大量研究,这些研究代表了更好的政策制定的丰富证据来源。本文对EGMs进行了方法学评估,并提出了一个工作的综合系统,通过应用计算和统计方法自动化了EGM创建的几个关键步骤。最重要的是,所提出的系统将EGM创建的所有主要步骤集中在一个地方,即确定纳入标准、信息处理、分析和易于使用的综合相关证据的传达。这个工具代表了在可用系统中实施尖端计算方法的关键里程碑。本文的贡献有两个方面。首先,它提出了EGM在公共政策周期中的关键重要性;第二,它证明和解释了一个可用工具的开发,该工具包括创建EGM的方法阶段,并自动化了大部分时间耗费的阶段。总体目标是更好更快地将有关信息传达给相关行动者,如决策者,从而通过更为符合证据的政策制定来促进福祉。