Measuring disadvantage in the early years in the UK: A systematic scoping review.
Measuring disadvantage in the early years in the UK: A systematic scoping review.
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DOI：
10.1016/j.ssmph.2022.101206
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发表时间：
2022-09
影响因子：
4.7
通讯作者：
Woodman, J.
中科院分区：
文献类型：
--
作者：
Clery, A.;Grant, C.;Harron, K.;Bedford, H.;Woodman, J.
早年不利条件与儿童健康之间的关系已得到充分确立。为了使这一证据基础能最有效地为相关服务提供信息，我们需要更好地理解文献中是如何对不利条件进行概念化和测量的。我们旨在对儿童健康文献中所测量的不利条件进行概念化，并利用这些测量方法探究不利条件与儿童健康之间的关联。
我们采用系统的方法进行了一次范围综述，以确定儿童健康实证文献中所使用的不利条件的关键概念。我们在MEDLINE、Scopus以及灰色文献中搜索了探究英国0 - 5岁儿童不利条件与儿童健康结果之间关联的研究。我们从86项研究中提取并分析了数据。
我们构建了一个框架，描述了两个领域，每个领域都有两个对不利条件进行概念化的属性：不利条件指标的层面（个体和区域）以及不利条件指标的内容（社会和经济）。与区域层面的测量相比，个体层面的不利条件测量往往能确定不利条件与儿童健康之间更强的关联。
不利条件指标的选择，特别是个体层面还是区域层面的选择，会影响对不利条件与儿童健康之间关系所做出的推断。在行政数据中更好地获取个体层面的不利条件指标，有助于制定和实施旨在减少儿童早期健康不平等的干预措施。
儿童健康中不利条件的测量范围广泛且具有多维性。
社会、经济、个体和区域层面是不利条件的关键概念。
区域层面的测量低估了不利条件与儿童健康之间的关联。
行政数据中需要个体层面的不利条件指标。
规划儿童健康干预措施的政策制定者应谨慎测量不利条件。
The relationship between disadvantage and child health in the early years is well established. For this evidence base to most helpfully inform services, we need to better understand how disadvantage is conceptualised and measured in the literature. We aimed to conceptualise disadvantage measured in child health literature and explore the associations between disadvantage and child health using these measures. We conducted a scoping review using systematic methods to identify key concepts of disadvantage used in empirical child health literature. We searched MEDLINE, Scopus, and grey literature for studies exploring the association between disadvantage and child health outcomes for children aged 0–5 in the United Kingdom. We extracted and analysed data from 86 studies. We developed a framework describing two domains, each with two attributes conceptualising disadvantage: level of disadvantage indicator (individual and area) and content of disadvantage indicator (social and economic). Individual-level measures of disadvantage tended to identify stronger associations between disadvantage and child health compared with area-level measures. The choice of disadvantage indicators, particularly whether individual- or area-level, can affect the inferences made about the relationship between disadvantage and child health. Better access to individual-level disadvantage indicators in administrative data could support development and implementation of interventions aimed at reducing child health inequalities in the early years. Measurement of disadvantage in child health is wide-ranging and multi-dimensional. Social, economic, individual, and area-level are key concepts of disadvantage. Area-level measures underestimate the association between disadvantage and child health. Individual-level disadvantage indicators are needed in administrative data. Policymakers planning child health interventions should measure disadvantage carefully.
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DOI：
10.1044/2016_jslhr-l-15-0293
发表时间：
2016-10-01
影响因子：
2.6
作者：
Chiat, Shula;Polisenska, Kamila
通讯作者：
Polisenska, Kamila
影响因子：
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作者：
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通讯作者：
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影响因子：
1.6
作者：
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通讯作者：
Hill, Carol
影响因子：
4.7
作者：
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通讯作者：
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