ArticleBreast cancer research and treatment2024
Individual and area level factors associated with the breast cancer diagnostic-treatment interval in Queensland, Australia.
Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Time from diagnosis to treatment: Are cancer patients who travel for treatment receiving optimal care in Australia?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Impact of Quality Improvement Interventions on Biopsy-to-Treatment Time in Breast Cancer: Results from the PROMPT Quality Collaborative of the National Accreditation Program for Breast Centers.Annals of surgical oncology · 2025Article
- Diagnostic delay among symptomatic breast cancer patients: a study in Sudanese women.Journal of preventive medicine and hygiene · 2024Article
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Authors and funding
8 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundDelays 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.
methodsData 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.
resultsThe 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.
conclusionWhilst 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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