Reporting on the health of culturally and linguistically diverse populations in Australia: An exploratory paper
Publication
Release Date:
Citation
AIHW
Australian Institute of Health and Welfare (2022) Reporting on the health of culturally and linguistically diverse populations in Australia: An exploratory paper, AIHW, Australian Government, accessed 15 October 2024. doi:10.25816/fd8z-0b84
APA
Australian Institute of Health and Welfare. (2022). Reporting on the health of culturally and linguistically diverse populations in Australia: An exploratory paper. Canberra: AIHW. doi:10.25816/fd8z-0b84
MLA
Australian Institute of Health and Welfare. Reporting on the health of culturally and linguistically diverse populations in Australia: An exploratory paper. AIHW, 2022. doi:10.25816/fd8z-0b84
Vancouver
Australian Institute of Health and Welfare. Reporting on the health of culturally and linguistically diverse populations in Australia: An exploratory paper. Canberra: AIHW; 2022. doi:10.25816/fd8z-0b84
Harvard
Australian Institute of Health and Welfare 2022, Reporting on the health of culturally and linguistically diverse populations in Australia: An exploratory paper, AIHW, Canberra. doi:10.25816/fd8z-0b84
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This report explores the use of linked data to report on the health of CALD populations, including it’s benefits, challenges and limitations. It investigates each of the available CALD variables individually, using 3 health outcomes to explore differences between CALD groups within each CALD variable.
- ISSN: ISBN 978-1-76054-999-2
- ISBN: ISBN 978-1-922802-00-2
- DOI: 10.25816/fd8z-0b84
- Cat. no: PHE 308
- Pages: 116
Findings from this report:
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Differences in health outcomes between CALD groups are more apparent when data are presented at the most detailed level
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Linked data can supplement information in other data sets to better identify CALD populations
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Cultural and linguistic diversity is a complex concept; identifying all CALD populations requires a range of information
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Linkage rates and linkage quality can vary by CALD group and are important considerations when using linked data