Creating small-area deprivation indices: a guide for stages and options

Creating small-area deprivation indices: a guide for stages and options
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DOI:
10.1136/jech-2019-213255
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发表时间:
2020-01-01
影响因子:
6.3
通讯作者:
Dundas, Ruth
Dundas, Ruth
中科院分区:
医学2区
文献类型:
--
作者:
Allik, Mirjam;Leyland, Alastair;Dundas, Ruth

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小面积综合测量(如剥夺、地理可及性或绿色空间)在研究人员和决策者中越来越受欢迎,并且经常用于比较或对地区进行排名。由于它们看似简单且具有广泛的吸引力,因此为研究人员和用户列出复合指数发展的不同阶段和选择是很重要的。本文以小面积剥夺测量为例,回顾了研究人员从选择数据和变量到验证和测量不确定度所面临的关键决策。我们的目标是指导研究人员在规划和跟踪开发小面积措施的过程中。迄今为止,不同的选择往往不被考虑,方法决定往往是基于传统或方便。虽然没有一个被广泛接受的框架来选择方法,但我们认为研究人员应该比较不同的方法,并在过程的每个阶段证明他们的决定。特别是,应该更加强调对不同人口分组的措施进行验证。
Small-area composite measures (such as for deprivation, geographic access or green space) have become increasing popular among both researchers and policy makers and are frequently used to compare or rank areas. Because of their seeming simplicity and wide appeal, it is important to set out for researchers and users the different stages and options that underlie the development of composite indices. Using small area deprivation measures as an example, this article reviews the key decisions faced by researchers from choosing the data and variables to validation and measuring uncertainty. Our aim is to guide researchers in the planning and following through with the process of developing a small-area measure. To date, the different choices are often not considered and the methodological decisions tend to be based on tradition or convenience. While there is no widely accepted framework for choosing between methods, we argue that researchers should compare different methods and justify their decisions at each stage of the process. In particular, more emphasis should be put on validating measures for different population subgroups.