Potentially burdensome care at the end-of-life for people who had a death from cancer: a retrospective population-level cohort study

Rebecca Mitchell, Geoffrey Delaney, Gaston Arnolda, Winston Liauw, Jane Phillips, Reidar Lystad, Reema Harrison, Jeffrey Braithwaite

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Abstract

Objectives
To examine factors associated with indicators of potentially burdensome care provided in hospital, and use of hospital services in the last 12 months of life for people who had a death from cancer.

Approach
A population-based retrospective cohort study of people aged ≥20 years with a cancer-related cause of death during 2014-2019 in New South Wales, Australia using linked hospital, cancer registry and mortality records. Ten indicators of potentially burdensome care were examined. Multinominal logistic regression examined predictors of a composite measure of potentially burdensome care, derived by summing 4 indicators: >1 ED presentation; >1 hospital admission; ≥1 ICU admission within 30 days of death; died in acute care (scored as 0, 1 ≥2).

Results
Of the 80,005 cancer-related deaths, 69.1% had none, 20.0% had 1 indicator, and 10.9% had ≥2 indicators of potentially burdensome care. Compared to having no indicators of potentially burdensome care, people who smoked, lived in rural areas, were most socially economically disadvantaged, and had their last admission in a private hospital were more likely to experience potentially burdensome care. Older people (≥55 years), females, people with 1 or ≥2 Charlson comorbidities, people with neurological cancers, and people who died in 2018-2019 were less likely to experience potentially burdensome care.

Conclusions and implications
This study shows the challenge of delivering health services at end-of-life. Opportunities to address potentially burdensome EOLC could involve taking a person-centric approach to integrate oncology and palliative care around individual needs and preferences.
Original languageEnglish
Article number001
Number of pages1
JournalInternational Journal of Population Data Science
Volume9
Issue number5
DOIs
Publication statusPublished - 2024
EventInternational Population Data Linkage Network Conference -
Duration: 15 Sept 202418 Sept 2024

Bibliographical note

Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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