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澳大利亚通报疾病数字监测中边缘化人群的代表性:系统评价。

Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review.

机构信息

School of Public Health, The University of Queensland, Brisbane, QLD, Australia.

National Centre for Aboriginal and Torres Strait Islander Wellbeing Research, Australian National University, Canberra, ACT, Australia.

出版信息

Perspect Public Health. 2024 May;144(3):162-173. doi: 10.1177/17579139241237101. Epub 2024 Mar 20.

DOI:10.1177/17579139241237101
PMID:38509693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11103913/
Abstract

AIM

This study aims to establish whether digital surveillance methods for notifiable diseases in Australia collect and report data in relation to marginalised populations.

METHODS

The literature was systematically reviewed to identify primary research studies published between January 2005 and July 2023. Studies were included if they described an Australian digital surveillance system for notifiable conditions. The results were synthesised with a focus on evaluating the collection and reporting of data in relation to marginalised populations.

RESULTS

A total of 13 articles reporting on seven surveillance systems were identified. Influenza and adverse events following immunisation were the two most common notifiable conditions monitored. A total of six surveillance systems encompassing 16 articles reported information on sub-populations. Of these, three surveillance systems (nine articles) included data on marginalised populations.

CONCLUSION

The data collected or reported in relation to sub-groups that characterise diversity in terms of health care needs, access, and marginalised populations are minimal. It is recommended that a set of equity and reporting principles is established for the future creation and use of any digital surveillance system.

摘要

目的

本研究旨在确定澳大利亚法定传染病的数字监测方法是否收集和报告与弱势群体有关的数据。

方法

系统地回顾了文献,以确定 2005 年 1 月至 2023 年 7 月期间发表的初级研究。如果研究描述了澳大利亚法定疾病的数字监测系统,则将其包括在内。结果重点评估了与弱势群体有关的数据收集和报告。

结果

确定了 13 篇报告 7 个监测系统的文章。流感和免疫接种后不良事件是监测的两个最常见的法定疾病。共有 6 个监测系统(16 篇文章)报告了亚人群的信息。其中,有三个监测系统(9 篇文章)包括了弱势群体的数据。

结论

与医疗需求、获取途径和弱势群体方面的多样性有关的亚组收集或报告的数据很少。建议为未来任何数字监测系统的创建和使用制定一套公平和报告原则。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7fd/11103913/91cf660acd62/10.1177_17579139241237101-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7fd/11103913/91cf660acd62/10.1177_17579139241237101-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7fd/11103913/91cf660acd62/10.1177_17579139241237101-fig1.jpg

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Effectiveness evaluation of digital contact tracing for COVID-19 in New South Wales, Australia.澳大利亚新南威尔士州数字接触者追踪在 COVID-19 中的效果评估。
Lancet Public Health. 2022 Mar;7(3):e250-e258. doi: 10.1016/S2468-2667(22)00010-X. Epub 2022 Feb 4.
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Experiences, perceptions and expectations of health services amongst marginalized populations in urban Australia: A meta-ethnographic review of the literature.澳大利亚城市边缘人群对卫生服务的体验、看法和期望:文献的荟萃分析。
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Australia's notifiable disease status, 2016: Annual report of the National Notifiable Diseases Surveillance System.澳大利亚 2016 年法定传染病报告:国家法定传染病监测系统年度报告。
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