4.7 Article

Factors that Influence Treatment Delay for Patients with Breast Cancer

Journal

ANNALS OF SURGICAL ONCOLOGY
Volume 28, Issue 7, Pages 3714-3721

Publisher

SPRINGER
DOI: 10.1245/s10434-020-09409-2

Keywords

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Funding

  1. Carlos III Health Institute [PI12/01842, PI12/02493]
  2. Andalusian Ministry of Health (European Social Fund/European Regional Development Fund Investing in your future'') [16/298]

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Sociodemographic and clinical factors such as low education, widowhood, independence in daily activities, anxiety or depression, high BMI or comorbidities, symptomatic presentation, lack of NMR spectroscopy, histology other than infiltrating ductal carcinoma, and poorly differentiated carcinomas are associated with delays in surgical treatment for breast cancer. Identifying and addressing these factors is important in preventing delays and raising awareness among at-risk individuals and healthcare providers.
Introduction The diagnosis or treatment of breast cancer is sometimes delayed. A lengthy delay may have a negative psychological impact on patients. The aim of our study was to evaluate the sociodemographic, clinical and pathological factors associated with delay in the provision of surgical treatment for localised breast cancer, in a prospective cohort of patients. Methods This observational, prospective, multicentre study was conducted in ten hospitals belonging to the Spanish national public health system, located in four Autonomous Communities (regions). The study included 1236 patients, diagnosed through a screening programme or found to be symptomatic, between April 2013 and May 2015. The study variables analysed included each patient's personal history, care situation, tumour history and data on the surgical intervention, pathological anatomy, hospital admission and follow-up. Treatment delay was defined as more than 30 days elapsed between biopsy and surgery. Results Over half of the study population experienced surgical treatment delay. This delay was greater for patients with no formal education and among widows, persons not requiring assistance for usual activities, those experiencing anxiety or depression, those who had a high BMI or an above-average number of comorbidities, those who were symptomatic, who did not receive NMR spectroscopy, who presented a histology other than infiltrating ductal carcinoma or who had poorly differentiated carcinomas. Conclusions Certain sociodemographic and clinical variables are associated with surgical treatment delay. This study identifies factors that influence surgical delays, highlighting the importance of preventing these factors and of raising awareness among the population at risk and among health personnel.

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