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

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...

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Autores principales: Edney, Laura C., Roseleur, Jackie, Bright, Tim, Watson, David I., Arnolda, Gaston, Braithwaite, Jeffrey, Delaney, Geoffrey P., Liauw, Winston, Mitchell, Rebecca, Karnon, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252629/
https://www.ncbi.nlm.nih.gov/pubmed/37297591
http://dx.doi.org/10.3390/ijerph20115987
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author Edney, Laura C.
Roseleur, Jackie
Bright, Tim
Watson, David I.
Arnolda, Gaston
Braithwaite, Jeffrey
Delaney, Geoffrey P.
Liauw, Winston
Mitchell, Rebecca
Karnon, Jonathan
author_facet Edney, Laura C.
Roseleur, Jackie
Bright, Tim
Watson, David I.
Arnolda, Gaston
Braithwaite, Jeffrey
Delaney, Geoffrey P.
Liauw, Winston
Mitchell, Rebecca
Karnon, Jonathan
author_sort Edney, Laura C.
collection PubMed
description 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.
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spelling pubmed-102526292023-06-10 DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study Edney, Laura C. Roseleur, Jackie Bright, Tim Watson, David I. Arnolda, Gaston Braithwaite, Jeffrey Delaney, Geoffrey P. Liauw, Winston Mitchell, Rebecca Karnon, Jonathan Int J Environ Res Public Health Protocol 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. MDPI 2023-05-29 /pmc/articles/PMC10252629/ /pubmed/37297591 http://dx.doi.org/10.3390/ijerph20115987 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Edney, Laura C.
Roseleur, Jackie
Bright, Tim
Watson, David I.
Arnolda, Gaston
Braithwaite, Jeffrey
Delaney, Geoffrey P.
Liauw, Winston
Mitchell, Rebecca
Karnon, Jonathan
DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
title DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
title_full DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
title_fullStr DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
title_full_unstemmed DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
title_short DAta Linkage to Enhance Cancer Care (DaLECC): Protocol of a Large Australian Data Linkage Study
title_sort data linkage to enhance cancer care (dalecc): protocol of a large australian data linkage study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252629/
https://www.ncbi.nlm.nih.gov/pubmed/37297591
http://dx.doi.org/10.3390/ijerph20115987
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