Approaches to Identifying health disparities by ethnicity using linked Australian Census data

BackgroundEthnicity is not collected routinely in Australian health data. Ancestry data is collected in the Census which is now linked to health data. We aimed to develop an approach to using ancestry data to examine health disparities. MethodsAn expert panel was formed with representatives from the Federation of Ethnic Communities’ Councils, Australian Bureau of Statistics (ABS) and researchers. The work was also informed by a community panel and yarning circles led by Aboriginal and Torres Strait Islander academics. We analysed 2016 Census data linked to death registrations for 2016-2021 in 20.9 million people and compared how different approaches to categorising ethnicity impacted on detection of health inequalities between groups. ResultsWe developed the following approach: (1) Recategorise those reporting Australian only or New Zealand only ancestry from the Oceania to the European category; (2) For those reporting two ancestries: prioritise ethnic minority over national identities (e.g. Australian) and for the remainder create multiethnic groups based on the combined ancestries; (3) First analyse data at the maximum level of granularity, but then collapse up granularity where no disparities are identified to simplify results and messaging. Analysis of mortality data demonstrated that these approaches improved identification of ethnic mortality inequalities. DiscussionWe developed a set of principles to use Australian Census Ancestry data to identify health disparities by ethnicity. The recommendations facilitate harnessing valuable Census data to identify important health disparities and better inform future health policy in Australia.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2507
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.53
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article

Approaches to Identifying health disparities by ethnicity using linked Australian Census data

Liz Allen, Fiona Stanaway, Michelle Dickson, Mei Ling Yap et al.
1 citations
International Journal for Population Data Science
Health disparities and outcomes
0.53
article

Approaches to Identifying health disparities by ethnicity using linked Australian Census data

Liz Allen, Fiona Stanaway, Michelle Dickson, Mei Ling Yap, Natasha Nassar, Lin Zhu, Bree McDonald
article en
1 citations

Abstract

BackgroundEthnicity is not collected routinely in Australian health data. Ancestry data is collected in the Census which is now linked to health data. We aimed to develop an approach to using ancestry data to examine health disparities. MethodsAn expert panel was formed with representatives from the Federation of Ethnic Communities’ Councils, Australian Bureau of Statistics (ABS) and researchers. The work was also informed by a community panel and yarning circles led by Aboriginal and Torres Strait Islander academics. We analysed 2016 Census data linked to death registrations for 2016-2021 in 20.9 million people and compared how different approaches to categorising ethnicity impacted on detection of health inequalities between groups. ResultsWe developed the following approach: (1) Recategorise those reporting Australian only or New Zealand only ancestry from the Oceania to the European category; (2) For those reporting two ancestries: prioritise ethnic minority over national identities (e.g. Australian) and for the remainder create multiethnic groups based on the combined ancestries; (3) First analyse data at the maximum level of granularity, but then collapse up granularity where no disparities are identified to simplify results and messaging. Analysis of mortality data demonstrated that these approaches improved identification of ethnic mortality inequalities. DiscussionWe developed a set of principles to use Australian Census Ancestry data to identify health disparities by ethnicity. The recommendations facilitate harnessing valuable Census data to identify important health disparities and better inform future health policy in Australia.

International Journal for Population Data ScienceVol. 9(5)
Australian National University (AU), The University of Sydney (AU), George Institute for Global Health (CN)
Openalex Percentile: Top 30%
Health disparities and outcomes
0.53
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