提高英格兰和威尔士教育对死亡率不平等估计的有效性。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Gerry McCartney
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引用次数: 0

摘要

保健不平等是一种重要的社会不公正现象。了解它们的规模和趋势,以及它们如何在国际上进行比较,是为政策和实践提供信息的必要条件,也是为了评估不同政策的影响。许多比较欧洲各地健康不平等趋势的研究都使用受教育程度作为对成年人口进行排名的手段,但由于缺乏受教育程度数据,或者将总人口中很大一部分人归为单一群体,因此存在一些挑战。Janssen等人已经认识到这一挑战,并提出了一种创新和有用的方法来克服数据缺失的问题。尽管这些都是有益的改进,但在若干年里,仍有大约80%的人口被归为同一群体,这限制了不平等衡量的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the validity of estimates of mortality inequalities by education in England & Wales.

Health inequalities are an important societal injustice. Understanding their scale and trends, and how they compare internationally, is needed to inform policy and practice, and also in order to evaluate the impacts of different policies. Many studies comparing health inequality trends across Europe have used educational attainment as a means of ranking adult populations, but there have been challenges as a consequence of the educational attainment data being missing, or categorising a very large proportion of the total population into a single group. Janssen et al. have recognised this challenge and have proposed an innovative and helpful method to overcome the problems of missing data. Although these are useful improvements, they still leave > 80% of the population categorised in the same group for some years, limiting the validity of the inequality measure.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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