Individual and area level factors associated with the breast cancer diagnostic-treatment interval in Queensland, Australia.

Australia Breast cancer Delay Diagnosis Health care Inequalities Treatment

Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
06 Nov 2023
Historique:
received: 28 06 2023
accepted: 22 09 2023
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: aheadofprint

Résumé

Delays to breast cancer treatment can lead to more aggressive and extensive treatments, increased expenses, increased psychological distress, and poorer survival. We explored the individual and area level factors associated with the interval between diagnosis and first treatment in a population-based cohort in Queensland, Australia. Data from 3216 Queensland women aged 20 to 79, diagnosed with invasive breast cancer (ICD-O-3 C50) between March 2010 and June 2013 were analysed. Diagnostic dates were sourced from the Queensland Cancer Registry and treatment dates were collected via self-report. Diagnostics-treatment intervals were modelled using flexible parametric survival methods. The median interval between breast cancer diagnosis and first treatment was 15 days, with an interquartile range of 9-26 days. Longer diagnostic-treatment intervals were associated with a lack of private health coverage, lower pre-diagnostic income, first treatments other than breast conserving surgery, and residence outside a major city. The model explained a modest 13.7% of the variance in the diagnostic-treatment interval [Formula: see text]. Sauerbrei's D was 0.82, demonstrating low to moderate discrimination performance. Whilst this study identified several individual- and area-level factors associated with the time between breast cancer diagnosis and first treatment, much of the variation remained unexplained. Increased socioeconomic disadvantage appears to predict longer diagnostic-treatment intervals. Though some of the differences are small, many of the same factors have also been linked to screening and diagnostic delay. Given the potential for accumulation of delay at multiple stages along the diagnostic and treatment pathway, identifying and applying effective strategies address barriers to timely health care faced by socioeconomically disadvantaged women remains a priority.

Sections du résumé

BACKGROUND BACKGROUND
Delays to breast cancer treatment can lead to more aggressive and extensive treatments, increased expenses, increased psychological distress, and poorer survival. We explored the individual and area level factors associated with the interval between diagnosis and first treatment in a population-based cohort in Queensland, Australia.
METHODS METHODS
Data from 3216 Queensland women aged 20 to 79, diagnosed with invasive breast cancer (ICD-O-3 C50) between March 2010 and June 2013 were analysed. Diagnostic dates were sourced from the Queensland Cancer Registry and treatment dates were collected via self-report. Diagnostics-treatment intervals were modelled using flexible parametric survival methods.
RESULTS RESULTS
The median interval between breast cancer diagnosis and first treatment was 15 days, with an interquartile range of 9-26 days. Longer diagnostic-treatment intervals were associated with a lack of private health coverage, lower pre-diagnostic income, first treatments other than breast conserving surgery, and residence outside a major city. The model explained a modest 13.7% of the variance in the diagnostic-treatment interval [Formula: see text]. Sauerbrei's D was 0.82, demonstrating low to moderate discrimination performance.
CONCLUSION CONCLUSIONS
Whilst this study identified several individual- and area-level factors associated with the time between breast cancer diagnosis and first treatment, much of the variation remained unexplained. Increased socioeconomic disadvantage appears to predict longer diagnostic-treatment intervals. Though some of the differences are small, many of the same factors have also been linked to screening and diagnostic delay. Given the potential for accumulation of delay at multiple stages along the diagnostic and treatment pathway, identifying and applying effective strategies address barriers to timely health care faced by socioeconomically disadvantaged women remains a priority.

Identifiants

pubmed: 37930491
doi: 10.1007/s10549-023-07134-4
pii: 10.1007/s10549-023-07134-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Cancer Council Australia
ID : 100639

Informations de copyright

© 2023. The Author(s).

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Auteurs

James D Retell (JD)

Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia.

Jessica K Cameron (JK)

Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia.
School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.

Joanne F Aitken (JF)

Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia.
School of Public Health, University of Queensland, Brisbane, QLD, Australia.
School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Institute for Resilient Regions, University of Southern Queensland, Brisbane, QLD, Australia.

Philippa Youl (P)

Cancer Alliance Queensland, Metro South Hospital and Health Service, Woolloongabba, QLD, Australia.

Chris Pyke (C)

Mater Hospital, Brisbane, QLD, Australia.

Jeff Dunn (J)

Prostate Cancer Foundation of Australia, Sydney, NSW, Australia.

Suzanne Chambers (S)

Faculty of Health Sciences, Australian Catholic University, Sydney, NSW, Australia.

Peter D Baade (PD)

Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia. peterbaade@cancerqld.org.au.
Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia. peterbaade@cancerqld.org.au.
School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia. peterbaade@cancerqld.org.au.

Classifications MeSH