Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Lifetime Costs of Surviving Cancer—A Queensland Study (COS-Q)

Protocol of a Large Healthcare Data Linkage Study

Bibliographic Data

ID15510326
AuthorsKatharina Merollini (0000-0003-1369-7663, University of the Sunshine Coast, corresponding author), Louisa G Gordon (0000-0002-3159-4249, Queensland University of Technology), Joanne F Aitken (0000-0001-6859-2186, Griffith University), Michael G Kimlin (0000-0002-9536-8646, Queensland University of Technology)
Year2020
Volume17
Issue8
Pages2831-2831
Publication date2020-04-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17082831
PMID32326074
OpenAlexW3016552345
LanguageEN
Citations received4
References cited55

Australia-wide, there are currently more than one million cancer survivors. There are over 32 million world-wide. A trend of increasing cancer incidence, medical innovations and extended survival places growing pressure on healthcare systems to manage the ongoing and late effects of cancer treatment. There are no published studies of the long-term health service use and cost of cancer survivorship on a population basis in Australia. All residents of the state of Queensland, Australia, diagnosed with a first primary malignancy from 1997-2015 formed the cohort of interest. State and national healthcare databases are linked with cancer registry records to capture all health service utilization and healthcare costs for 20 years (or death, if this occurs first), starting from the date of cancer diagnosis, including hospital admissions, emergency presentations, healthcare costing data, Medicare services and pharmaceuticals. Data analyses include regression and economic modeling. We capture the whole journey of health service contact and estimate long-term costs of all cancer patients diagnosed and treated in Queensland by linking routinely collected state and national healthcare data. Our results may improve the understanding of lifetime health effects faced by cancer survivors and estimate related healthcare costs. Research outcomes may inform policy and facilitate future planning for the allocation of healthcare resources according to the burden of disease

Activity-based costing · Business · Cancer · Cancer registry · Cohort · Economic growth · Environmental health · Family medicine · Health care · Health economics · Medical emergency · Population · Population health · Public health · Survivorship curve · Economic and Financial Impacts of Cancer · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Medicine · Nursing · Gerontology

  • Environmentally sustainable development and use of artificial intelligence in health care

    Open Access•Cristina Richie•Bioethics•2022

  • DAta Linkage to Enhance Cancer Care (DaLecc)

    Open Access•Laura C Edney, Jacqueline Roseleur et al.•International Journal of…•2023

  • Cancer Survivors’ Long-Term Health Service Costs in Queensland, Australia

    Open Access•Katharina Merollini, Louisa G Gordon et al.•International Journal of…•2022

  • Estimated Healthcare Costs of Melanoma and Keratinocyte Skin Cancers in Australia and Aotearoa New Zealand in 2021

    Open Access•Louisa G Gordon, William Leung et al.•International Journal of…•2022

  • Consolidated Health Economic Evaluation Reporting Standards (CHEERS)—Explanation and Elaboration

    Open Access•Don Husereau, Michael Drummond et al.•Value in Health•2013

  • Long-term out of pocket expenditure of people with cancer

    Open Access•Emily Callander, Nicole Bates et al.•International Journal for Equity…•2019

  • Labour force participation and the cost of lost productivity due to cancer in Australia

    Open Access•Nicole Bates, Emily Callander et al.•BMC Public Health•2018

Unique citing works4
Citations per year1
Citation span2022 - 2023 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae