IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i11p5987-d1158525.html
   My bibliography  Save this article

DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study

Author

Listed:
  • Laura C. Edney

    (Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia)

  • Jackie Roseleur

    (Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia)

  • Tim Bright

    (Oesophagogastric Surgery Unit, Flinders Medical Centre, Bedford Park, SA 5042, Australia
    College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia)

  • David I. Watson

    (Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia
    Oesophagogastric Surgery Unit, Flinders Medical Centre, Bedford Park, SA 5042, Australia
    College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia)

  • Gaston Arnolda

    (Australian Institute of Health Innovation, Macquarie University, North Ryde, NSW 2109, Australia)

  • Jeffrey Braithwaite

    (Australian Institute of Health Innovation, Macquarie University, North Ryde, NSW 2109, Australia)

  • Geoffrey P. Delaney

    (Liverpool Cancer Therapy Centre, Liverpool, NSW 2170, Australia
    South Western Sydney Clinical School, University of New South Wales, Liverpool, NSW 2170, Australia
    Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia)

  • Winston Liauw

    (St. George Cancer Care Centre, St. George Hospital, Kogarah, NSW 2217, Australia
    St. George Hospital Clinical School, University of New South Wales, Sydney, NSW 2217, Australia)

  • Rebecca Mitchell

    (Australian Institute of Health Innovation, Macquarie University, North Ryde, NSW 2109, Australia)

  • Jonathan Karnon

    (Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia)

Abstract

Cancer is a leading cause of global morbidity and mortality, accounting for 250 Disability-Adjusted Life Years and 10 million deaths in 2019. Minimising unwarranted variation and ensuring appropriate cost-effective treatment across primary and tertiary care to improve health outcomes is a key health priority. There are few studies that have used linked data to explore healthcare utilisation prior to diagnosis in addition to post-diagnosis patterns of care. This protocol outlines the aims of the DaLECC project and key methodological features of the linked dataset. The primary aim of this project is to explore predictors of variations in pre- and post-cancer diagnosis care, and to explore the economic and health impact of any variation. The cohort of patients includes all South Australian residents diagnosed with cancer between 2011 and 2020, who were recorded on the South Australian Cancer Registry. These cancer registry records are being linked with state and national healthcare databases to capture health service utilisation and costs for a minimum of one-year prior to diagnosis and to a maximum of 10 years post-diagnosis. Healthcare utilisation includes state databases for inpatient separations and emergency department presentations and national databases for Medicare services and pharmaceuticals. Our results will identify barriers to timely receipt of care, estimate the impact of variations in the use of health care, and provide evidence to support interventions to improve health outcomes to inform national and local decisions to enhance the access and uptake of health care services.

Suggested Citation

  • Laura C. Edney & Jackie Roseleur & Tim Bright & David I. Watson & Gaston Arnolda & Jeffrey Braithwaite & Geoffrey P. Delaney & Winston Liauw & Rebecca Mitchell & Jonathan Karnon, 2023. "DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study," IJERPH, MDPI, vol. 20(11), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:11:p:5987-:d:1158525
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/11/5987/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/11/5987/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katharina M. D. Merollini & Louisa G. Gordon & Yiu M. Ho & Joanne F. Aitken & Michael G. Kimlin, 2022. "Cancer Survivors’ Long-Term Health Service Costs in Queensland, Australia: Results of a Population-Level Data Linkage Study (Cos-Q)," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    2. Nicole Bates & Emily Callander & Daniel Lindsay & Kerrianne Watt, 2018. "CancerCostMod: a model of the healthcare expenditure, patient resource use, and patient co-payment costs for Australian cancer patients," Health Economics Review, Springer, vol. 8(1), pages 1-12, December.
    3. Katharina M. D. Merollini & Louisa G. Gordon & Joanne F. Aitken & Michael G. Kimlin, 2020. "Lifetime Costs of Surviving Cancer—A Queensland Study (COS-Q): Protocol of a Large Healthcare Data Linkage Study," IJERPH, MDPI, vol. 17(8), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Louisa G. Gordon & William Leung & Richard Johns & Bronwen McNoe & Daniel Lindsay & Katharina M. D. Merollini & Thomas M. Elliott & Rachel E. Neale & Catherine M. Olsen & Nirmala Pandeya & David C. Wh, 2022. "Estimated Healthcare Costs of Melanoma and Keratinocyte Skin Cancers in Australia and Aotearoa New Zealand in 2021," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
    2. Annie Bygrave & Kate Whittaker & Christine Paul & Elizabeth A. Fradgley & Megan Varlow & Sanchia Aranda, 2021. "Australian Experiences of Out-of-Pocket Costs and Financial Burden Following a Cancer Diagnosis: A Systematic Review," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    3. Katharina M. D. Merollini & Louisa G. Gordon & Yiu M. Ho & Joanne F. Aitken & Michael G. Kimlin, 2022. "Cancer Survivors’ Long-Term Health Service Costs in Queensland, Australia: Results of a Population-Level Data Linkage Study (Cos-Q)," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    4. Daniel Lindsay & Emily Callander, 2021. "Quantifying the Costs to Different Funders over Five-Years for Women Diagnosed with Breast Cancer in Queensland, Australia: A Data Linkage Study," IJERPH, MDPI, vol. 18(24), pages 1-10, December.
    5. Katharina M. D. Merollini & Louisa G. Gordon & Joanne F. Aitken & Michael G. Kimlin, 2020. "Lifetime Costs of Surviving Cancer—A Queensland Study (COS-Q): Protocol of a Large Healthcare Data Linkage Study," IJERPH, MDPI, vol. 17(8), pages 1-16, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:11:p:5987-:d:1158525. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.