ArticleInternational journal of environmental research and public health2016
The Impact of Rurality and Disadvantage on the Diagnostic Interval for Breast Cancer in a Large Population-Based Study of 3202 Women in Queensland, Australia.
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Presentation Delay After Symptom Recognition Among Breast Cancer Patients in Mongolia: A Retrospective Study.Healthcare (Basel, Switzerland) · 2026Article
- Digital Breast Tomosynthesis Use, Facility Mammography Volume, and Timely Follow-Up After Abnormal Screening Mammograms in Appalachia, United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
- Cervical and breast cancer screening outcomes among Métis people in Alberta, Canada.BMC women's health · 2025Article
- Screen-detected breast cancer and cancer stage by area-level deprivation: a descriptive analysis using data from the National Cancer Registry Ireland.European journal of public health · 2025Article
- Individual and area level factors associated with the breast cancer diagnostic-treatment interval in Queensland, Australia.Breast cancer research and treatment · 2024Article
- Causes of Unwarranted Variation and Disparity in Breast Cancer Management in Regional and Rural Area.The breast journal · 2024Article
- Severity and risk factors of interval breast cancer in Queensland, Australia: a population-based study.Breast cancer (Tokyo, Japan) · 2023Article
- Factors Associated with Diagnostic Delays among Tunisian Breast Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Assurance of Timely Access to Breast Cancer Diagnosis and Treatment by a Regional Breast Health Clinic Serving Both Urban and Rural-Remote Communities.Current oncology (Toronto, Ont.) · 2023Article
- A prognostic survival model for women diagnosed with invasive breast cancer in Queensland, Australia.Breast cancer research and treatment · 2022Article
- Trends in surgery and adjuvant treatment for early-stage breast cancer: a population-based study in Queensland, Australia.Breast cancer research and treatment · 2022Article
- Conceptual Framework to Guide Early Diagnosis Programs for Symptomatic Cancer as Part of Global Cancer Control.JCO global oncology · 2021Article
- Symptom Signatures and Diagnostic Timeliness in Cancer Patients: A Review of Current Evidence.Neoplasia (New York, N.Y.) · 2018Review
- Geographical Variation in Breast Cancer Outcomes.International journal of environmental research and public health · 2017Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Delays in diagnosing breast cancer (BC) can lead to poorer outcomes. We investigated factors related to the diagnostic interval in a population-based cohort of 3202 women diagnosed with BC in Queensland, Australia. Interviews ascertained method of detection and dates of medical/procedural appointments, and clinical information was obtained from medical records. Time intervals were calculated from self-recognition of symptoms (symptom-detected) or mammogram (screen-detected) to diagnosis (diagnostic interval (DI)). The cohort included 1560 women with symptom-detected and 1642 with screen-detected BC. Symptom-detected women had higher odds of DI of >60 days if they were Indigenous (OR = 3.12, 95% CI = 1.40, 6.98); lived in outer regional (OR = 1.50, 95% CI = 1.09, 2.06) or remote locations (OR = 2.46, 95% CI = 1.39, 4.38); or presented with a "non-lump" symptom (OR = 1.84, 95% CI = 1.43, 2.36). For screen-detected BC, women who were Indigenous (OR = 2.36, 95% CI = 1.03, 5.80); lived in remote locations (OR = 2.35, 95% CI = 1.24, 4.44); or disadvantaged areas (OR = 1.69, 95% CI = 1.17, 2.43) and attended a public screening facility (OR = 2.10, 95% CI = 1.40, 3.17) had higher odds of DI > 30 days. Our study indicates a disadvantage in terms of DI for rural, disadvantaged and Indigenous women. Difficulties in accessing primary care and diagnostic services are evident. There is a need to identify and implement an efficient and effective model of care to minimize avoidable longer diagnostic intervals.
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