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Time interval between diagnosis to treatment of breast cancer and the impact of health insurance coverage: a sub analysis of the AMAZONA III Study (GBECAM 0115)
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Time interval between diagnosis to treatment of breast cancer and the impact of health insurance coverage: a sub analysis of the AMAZONA III Study (GBECAM 0115)
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Time interval between diagnosis to treatment of breast cancer and the impact of health insurance coverage: a sub analysis of the AMAZONA III Study (GBECAM 0115)
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Journal Article
Time interval between diagnosis to treatment of breast cancer and the impact of health insurance coverage: a sub analysis of the AMAZONA III Study (GBECAM 0115)
2023
Overview
PurposeBreast cancer (BC) is the most common type of cancer among women in Brazil. Evidence shows that delayed treatment onset is associated with increased mortality. This study aimed to evaluate median days between diagnosis and treatment and factors associated with delayed start of treatment (> 60 days after diagnosis): stage, treatment received, subtype, epidemiological characteristics, and type of healthcare coverage.MethodsThis analysis included 1709 stage I–III BC patients from AMAZONA III, a prospective, observational study, diagnosed from January 2016 to March 2018 in 22 centers in Brazil.ResultsThe median number of days from diagnosis to beginning of first oncologic treatment was 46 days (IQR 28–75) overall, 43 days (IQR 25–75) for stage I disease, 49 days (IQR 28–81) for stage II, and 44 days (IQR 30–68) for stage III, (p = 0.1180). According to first treatment received, diagnosis-to-treatment interval was 43 days (IQR 29–65) for neoadjuvant chemotherapy and 48 days (IQR 26–81) for surgery. Diagnosis-to-treatment interval was higher in women treated in the public system versus the private system (56 vs. 34 days, p < 0.0001). Patients in the public system had an increased odds of delayed treatment initiation (OR 4.74 95% CI 3.09–7.26, p < .0001). The longer interval from diagnosis to treatment in the public system was independent of clinical stage, type of treatment (systemic vs surgery first), subtype and region of the country.ConclusionBy characterizing the delays in care delivery, our study will aid stakeholders to better design interventions and allocate resource to improve timely treatment for breast cancer in Brazil.ClinicalTrials.gov Identifier: NCT02663973, registered on January, 26th, 2016.
Publisher
Springer Nature B.V
Subject
