在流行病学研究中使用澳大利亚统计局的社会经济地位、偏远程度和人口分母指标的指南。

David Youens, Nita Sodhi-Berry, Ingrid Stacey, Marwan Ahmed, Judith M Katzenellenbogen
{"title":"在流行病学研究中使用澳大利亚统计局的社会经济地位、偏远程度和人口分母指标的指南。","authors":"David Youens, Nita Sodhi-Berry, Ingrid Stacey, Marwan Ahmed, Judith M Katzenellenbogen","doi":"10.1071/AH24324","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectiveAustralian Bureau of Statistics data on socio-economic status, service accessibility/remoteness and population denominators are useful in epidemiology, though complex to understand and apply. We provide information and resources to facilitate their use.MethodsWe compiled data from the Socio-Economic Indexes for Areas (SEIFA), the Accessibility/Remoteness Index of Australia (ARIA) and population estimates from across multiple years, taking into account changes in availability and formats of these data over time. Syntax was written to support use of these data in studies using administrative health data, alongside a user guide with notes and instructions.ResultsWhere research data contains an event date plus a postcode, Statistical Area Level 2 and/or Statistical Local Area, these resources can be used to attach a SEIFA score and decile, remoteness areas and age-sex-specific population denominators to each record for years 2000-2025 (population denominators to 2023). These variables can be used as cohort descriptors, as model covariates or to calculate ARIA/SEIFA stratified rates.ConclusionsThese resources are useful for individual research projects, while also contributing to building capacity in the use of geographical measures. We focused on the measures most commonly used in Australia, although the approach outlined can be applied to other geographical measures.</p>","PeriodicalId":93891,"journal":{"name":"Australian health review : a publication of the Australian Hospital Association","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A guide to using measures of socio-economic status, remoteness and population denominators from the Australian Bureau of Statistics for epidemiological studies.\",\"authors\":\"David Youens, Nita Sodhi-Berry, Ingrid Stacey, Marwan Ahmed, Judith M Katzenellenbogen\",\"doi\":\"10.1071/AH24324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>ObjectiveAustralian Bureau of Statistics data on socio-economic status, service accessibility/remoteness and population denominators are useful in epidemiology, though complex to understand and apply. We provide information and resources to facilitate their use.MethodsWe compiled data from the Socio-Economic Indexes for Areas (SEIFA), the Accessibility/Remoteness Index of Australia (ARIA) and population estimates from across multiple years, taking into account changes in availability and formats of these data over time. Syntax was written to support use of these data in studies using administrative health data, alongside a user guide with notes and instructions.ResultsWhere research data contains an event date plus a postcode, Statistical Area Level 2 and/or Statistical Local Area, these resources can be used to attach a SEIFA score and decile, remoteness areas and age-sex-specific population denominators to each record for years 2000-2025 (population denominators to 2023). These variables can be used as cohort descriptors, as model covariates or to calculate ARIA/SEIFA stratified rates.ConclusionsThese resources are useful for individual research projects, while also contributing to building capacity in the use of geographical measures. We focused on the measures most commonly used in Australia, although the approach outlined can be applied to other geographical measures.</p>\",\"PeriodicalId\":93891,\"journal\":{\"name\":\"Australian health review : a publication of the Australian Hospital Association\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australian health review : a publication of the Australian Hospital Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1071/AH24324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian health review : a publication of the Australian Hospital Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1071/AH24324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的澳大利亚统计局关于社会经济地位、服务可及性/偏远程度和人口分母的数据在流行病学中是有用的,尽管理解和应用起来很复杂。我们提供信息和资源,以方便他们的使用。方法:我们从地区社会经济指数(SEIFA)、澳大利亚无障碍/偏远指数(ARIA)和多年的人口估计中收集数据,并考虑到这些数据随时间的可用性和格式的变化。编写了语法以支持在使用行政健康数据的研究中使用这些数据,并编写了带有注释和说明的用户指南。如果研究数据包含事件日期加上邮政编码、统计区域2级和/或统计局部区域,这些资源可用于将2000-2025年(人口分母至2023年)的SEIFA分数和十分位数、偏远地区和年龄性别特定的人口分母附加到每个记录。这些变量可用作队列描述符、模型协变量或计算ARIA/SEIFA分层率。这些资源对个别研究项目是有用的,同时也有助于建设使用地理测量的能力。我们的重点是在澳大利亚最常用的措施,尽管概述的方法可以适用于其他地理措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A guide to using measures of socio-economic status, remoteness and population denominators from the Australian Bureau of Statistics for epidemiological studies.

ObjectiveAustralian Bureau of Statistics data on socio-economic status, service accessibility/remoteness and population denominators are useful in epidemiology, though complex to understand and apply. We provide information and resources to facilitate their use.MethodsWe compiled data from the Socio-Economic Indexes for Areas (SEIFA), the Accessibility/Remoteness Index of Australia (ARIA) and population estimates from across multiple years, taking into account changes in availability and formats of these data over time. Syntax was written to support use of these data in studies using administrative health data, alongside a user guide with notes and instructions.ResultsWhere research data contains an event date plus a postcode, Statistical Area Level 2 and/or Statistical Local Area, these resources can be used to attach a SEIFA score and decile, remoteness areas and age-sex-specific population denominators to each record for years 2000-2025 (population denominators to 2023). These variables can be used as cohort descriptors, as model covariates or to calculate ARIA/SEIFA stratified rates.ConclusionsThese resources are useful for individual research projects, while also contributing to building capacity in the use of geographical measures. We focused on the measures most commonly used in Australia, although the approach outlined can be applied to other geographical measures.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信