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Individual and area level factors associated with the breast cancer diagnostic-treatment interval in Queensland, Australia.
Retell, James D; Cameron, Jessica K; Aitken, Joanne F; Youl, Philippa; Pyke, Chris; Dunn, Jeff; Chambers, Suzanne; Baade, Peter D.
Afiliação
  • Retell JD; Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia.
  • Cameron JK; Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia.
  • Aitken JF; School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
  • Youl P; Viertel Cancer Research Centre, Cancer Council Queensland, Brisbane, QLD, Australia.
  • Pyke C; School of Public Health, University of Queensland, Brisbane, QLD, Australia.
  • Dunn J; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
  • Chambers S; Institute for Resilient Regions, University of Southern Queensland, Brisbane, QLD, Australia.
  • Baade PD; Cancer Alliance Queensland, Metro South Hospital and Health Service, Woolloongabba, QLD, Australia.
Breast Cancer Res Treat ; 203(3): 575-586, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37930491
ABSTRACT

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:

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:

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:

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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Female / Humans País/Região como assunto: Oceania Idioma: En Revista: Breast Cancer Res Treat Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Female / Humans País/Região como assunto: Oceania Idioma: En Revista: Breast Cancer Res Treat Ano de publicação: 2024 Tipo de documento: Article