368 Ethnic differences in heart failure incidence in New South Wales, Australia - a novel approach using Censusdata-linkage

Sep 30, 2026

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Ethnic inequalities in heart failure incidence in Australia are examined using linked health and census data. The study addresses the previous absence of routine ethnicity collection by linking health datasets to the 2016 Census in New South Wales (NSW). A population-based cohort of NSW residents aged 25+ who could be linked to PLIDA was analyzed, excluding those with documented heart failure in the prior decade. Incident heart failure was identified via hospital data and deaths using ICD-10 codes, with ethnicity based on self-reported ancestry categories.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages2

Reading Time5 min

AccessFree to download

OP 37: Health Status 3

Aims

Methods

Results

Conclusion

2nd World Congress on Migration, Ethnicity, Race & Health Abstract Book vi81 Abstract citation ID: ckaf180.223 368 Ethnic differences in heart failure incidence in New South Wales, Australia: a novel approach using Censusdata-linkage Thulashigan Sreeharan1, Lin Zhu1, Michelle Dickson1, Louisa Jorm2, Sarah Aitken3, Leonard Kritharides3, Andrew Wilson1, Carmen Huckel Schneider1, Saman Khalatbari-Soltani1, Benjumin Hsu4, Fiona F. Stanaway1 1Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia 2Centre for Big Data Research in Health, UNSW Sydney, Sydney, Australia 3Concord General Hospital, Sydney Local Health District, Sydney, Australia 4Marcus Institute for Aging Research, Harvard Medical School, Boston, United States OP 37: Health Status 3, B210 (FCSH), September 5, 2025, 11:30 - 12:30 Aims: Ethnic inequalities in heart failure in Australia have not been described due to lack of routine collection of ethnicity data in vi82 European Journal of Public Health, Vol. 35, Supplement 6, 2025 Australia’s non-Indigenous population. We have linked health datasets to the Census to examine heart failure incidence by ethnicity in New South Wales (NSW), Australia. Methods: We created a population-based cohort study of all residents of NSW aged 􀀂 25 years who responded to the 2016 Census and could be linked to the Person Linked Integrated Data Asset (PLIDA) (n ¼ 4,609,869) . To estimate incident heart failure, we excluded those with a documented history of heart failure in the past 10 years. Incident cases of heart failure were identified from hospital data or deaths using relevant ICD-10 codes. Ethnicity was measured by self-reported ancestry in the 2016 Census with categorisations informed by an expert and community panel. Results: In preliminary results, the age standardised incidence of heart failure from 2016 to 2022 was 203 per 100 000 person-years in females and 285 per 100,000 person-years in males. The incidence of heart failure was higher in those of M¼420 per 100,000; males¼746 per 100,000), Pasifika (females¼371 per 100,000; males¼566 per 100,000), North African and Middle Eastern (females¼285 per 100,000; males¼366 per 100,000) and Central Asian ethnicity (females¼256 per 100,000; males¼336 per 100,000) . All other ethnic groups had heart failure incidence that was equivalent to or lower than the population average. Conclusion: We found substantial ethnic inequalities in the incidence of heart failure in a whole-population data linkage study. These inequalities by ethnicity in Australia’s non-Indigenous population have not been previously described and highlight groups in the population experiencing cardiovascular health disadvantage. Further analyses will explore how these inequalities intersect with measures of socioeconomic position and migration factors, such as visa class.

FAQs

What is the main aim of the study on heart failure incidence?

To investigate ethnic inequalities in heart failure incidence in New South Wales, Australia, addressing the lack of routine ethnicity data collection.

How were incident heart failure cases identified?

Incident cases were identified from hospital data or deaths using relevant ICD-10 codes, after excluding individuals with documented heart failure in the prior 10 years.

What did the preliminary results show about incidence rates by sex and ethnicity?

Age-standardised incidence from 2016 to 2022 was higher in males than females, and was especially elevated in specific ethnic groups compared with the population average.

Sep 30, 2026

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