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反思现代方法:使用年龄标准化健康指标量化不平等现象的统计、政策和伦理影响。

Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities.

机构信息

National Centre for Epidemiology and Population Health, Australian National University, Acton ACT, Australia.

Centre for Social Research and Methods, College of Arts and Social Sciences, Australian National University, Acton ACT, Australia.

出版信息

Int J Epidemiol. 2022 Feb 18;51(1):324-333. doi: 10.1093/ije/dyab132.

Abstract

Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and not accurate measures of actual rates where the age structures of groups diverge. This paper explores these limitations, and demonstrates alternative approaches through a case study quantifying mortality rates within the Aboriginal and Torres Strait Islander (Indigenous) population of Australia and inequities compared with the non-Indigenous population, over 2001-16. Applying the Australian Standard Population, the Aboriginal and Torres Strait Islander age-standardized mortality rate was more than double the crude mortality rate in 2001 and 2016, inflated through high weighting of older age groups. Despite divergent population age structures, age-standardized mortality rates remain a key policy metric for measuring progress in reducing Indigenous-non-Indigenous inequities in Australia. Focusing on outcomes age-standardized to the total population can obscure inequities, and denies Aboriginal and Torres Strait Islander peoples and communities valid, actionable information about their health and well-being. Age-specific statistics convey the true magnitude of health risks and highlight high-risk subgroups. When requiring standardization, standardizing to a population-specific standard (here, an Indigenous standard) generates metrics centred around and reflective of reality for the population of focus, supporting communities' self-determination to identify priorities and informing resource allocation and service delivery. The principles outlined here apply across populations, including Indigenous and other populations internationally.

摘要

计算健康指标的方法对理解和改善人口健康和公平性有重要影响。年龄标准化可以用于比较不同组别健康指标时,考虑年龄结构的差异,是一种常用的方法。然而,年龄标准化率存在明显的局限性,包括它是相对的比较指标,并且不能准确反映群体年龄结构不同时的实际率。本文通过一个案例研究,探讨了这些局限性,并展示了替代方法。该案例研究通过量化澳大利亚原住民(土著)人口和非原住民人口在 2001 年至 2016 年期间的死亡率以及不平等情况,说明了这些局限性。在该案例中,应用澳大利亚标准人口,土著人口的年龄标准化死亡率在 2001 年和 2016 年分别是粗死亡率的两倍以上,这是由于老年人群体的权重较高而膨胀。尽管人口年龄结构存在差异,年龄标准化死亡率仍然是衡量澳大利亚减少土著与非土著不平等方面进展的关键政策指标。关注标准化到总人口的结果可能会掩盖不平等现象,并剥夺土著和托雷斯海峡岛民人民和社区有关其健康和福祉的有效、可操作的信息。特定年龄的统计数据传达了健康风险的真实程度,并突出了高风险亚组。在需要标准化时,对特定人群(此处为土著标准)进行标准化,可以生成以关注人群为中心并反映其实际情况的指标,支持社区自主确定优先事项,并为资源分配和服务提供提供信息。这里概述的原则适用于包括土著和国际上其他人群在内的所有人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5ac/8855998/3ec78ebd08ea/dyab132f1.jpg

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