Evidence map›Paper›PMID 39254066›Full record

ArticleCancer medicine2024

Factors impacting hospitalisation and related health service costs in cancer survivors in Australia: Results from a population data linkage study in Queensland (COS-Q).

Katharina M D Merollini, Louisa G Collins, Andrew T Jones, Joanne F Aitken, Michael G Kimlin

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Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Katharina M D MerolliniSchool of Health, University of the Sunshine Coast, Maroochydore, Queensland, Australia.ORCID 0000-0003-1369-7663
Louisa G CollinsHealth Economics, Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Andrew T JonesCentre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Joanne F AitkenCancer Council Queensland, Brisbane, Queensland, Australia.
Michael G KimlinFaculty of Health Sciences & Medicine, Bond University, Robina, Queensland, Australia.

Funding

University of the Sunshine Coast
6 · The paper itself

Abstract

backgroundThe global economic cost of cancer and the costs of ongoing care for survivors are increasing. Little is known about factors affecting hospitalisations and related costs for the growing number of cancer survivors. Our aim was to identify associated factors of cancer survivors admitted to hospital in the public system and their costs from a health services perspective.

methodsA population-based, retrospective, data linkage study was conducted in Queensland (COS-Q), Australia, including individuals diagnosed with a first primary cancer who incurred healthcare costs between 2013 and 2016. Generalised linear models were fitted to explore associations between socio-demographic (age, sex, country of birth, marital status, occupation, geographic remoteness category and socio-economic index) and clinical (cancer type, year of/time since diagnosis, vital status and care type) factors with mean annual hospital costs and mean episode costs.

resultsOf the cohort (N = 230,380) 48.5% (n = 111,820) incurred hospitalisations in the public system (n = 682,483 admissions). Hospital costs were highest for individuals who died during the costing period (cost ratio 'CR': 1.79, p < 0.001) or living in very remote or remote location (CR: 1.71 and CR: 1.36, p < 0.001) or aged 0-24 years (CR: 1.63, p < 0.001). Episode costs were highest for individuals in rehabilitation or palliative care (CR: 2.94 and CR: 2.34, p < 0.001), or very remote location (CR: 2.10, p < 0.001). Higher contributors to overall hospital costs were 'diseases and disorders of the digestive system' (AU$661 m, 21% of admissions) and 'neoplastic disorders' (AU$554 m, 20% of admissions).

conclusionsWe identified a range of factors associated with hospitalisation and higher hospital costs for cancer survivors, and our results clearly demonstrate very high public health costs of hospitalisation. There is a lack of obvious means to reduce these costs in the short or medium term which emphasises an increasing economic imperative to improving cancer prevention and investments in home- or community-based patient support services.

Indexed as

Cancer SurvivorsHospitalizationNeoplasmsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHealth Care CostsHospital CostsHumansInfantInfant, NewbornInformation Storage and RetrievalAustraliacancer survivorshealthcarehospital costrisk factorstreatment

Identifiers

PMID39254066
PMCPMC11386302

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.