Factors associated with time to breast cancer diagnosis and treatment in unscreened women in Portugal

Treatment time interval in breast cancer: A population-based study on the impact of type and number of cancer centres attended

OBJECTIVES

We studied both the independent and combined effects of the places of biopsy and treatment on the treatment time interval based on a population-based study.

METHODS

We analysed the proportion of patients having a treatment time interval higher than the EUSOMA recommendation of 6 weeks, as a function of the number and the type of care centres the patients attended, from a French population-based regional cohort of women treated in 2015 for an incident invasive non-metastatic cancer (n = 505).

RESULTS

About 33% [95% CI: 27; 38] of patients had a treatment time interval higher than 6 weeks. About 48% of the patients underwent their biopsy and their initial treatment in the different centres. Results from multivariable analyses supported the impact of the type and number of centres attended on the proportion of time intervals over 6 weeks. This proportion was higher among patients with biopsy and treatment in different centres and among patients treated in a university hospital.

CONCLUSION

We pointed out the independent impact of the type and the number of care centres the patients attended, from biopsy to first treatment, on the treatment time interval, which is a well-known prognosis factor.

Shorter delay to treatment by integrated diagnostic services and NGO-provided support among breast cancer patients in two Brazilian referral centres

BACKGROUND

The diagnosis of breast cancer requires a complicated series of diagnostic exams. The present study addressed the delay of patients who used publicly and privately financed diagnostic services. Non-governmental organizations (NGOs) donated diagnostic mammograms and biopsies.

DESIGN AND METHODS

Data from 304 patients were obtained from two Brazilian referral centres. In one referral centre (FAP), diagnostic mammography, clinic-histopathological exam and immunohistochemistry were outsourced, whereas in the other centre (HNL), these services were integrated. Cox regression, Kaplan-Meier analysis and non-parametric tests were used to compare variables and time intervals.

RESULTS

If diagnostic mammography was financed privately and covered by private health insurance, the likelihood of a delay of >90 days between the first medical visit and the initiation of treatment decreased 2.15-fold (95%CI: 1.06- 4.36; p=0.033) and 4.44-fold (95%CI: 1.58-12.46; p=0.004), respectively. If the clinic-histopathological exam was outsourced (FAP) and publicly or privately financed, the median time between diagnostic mammography and the diagnostic result was 53 and 65 days in the integrated (HNL) and outsourced public system, compared to 29 days in the outsourced private system (p<0.050). The median time between the first medical visit and the diagnostic results of patients who were supported by NGOs, who financed their diagnostic services privately, and who used exclusively public diagnostic services was, respectively, 28.0, 48.5 and 77.5 days (p<0.050).

CONCLUSION

Patients who used privately financed health services had shorter delays. Compared to outsourcing, the integration of the publicly financed clinic- histopathological exam diminished the delay. The support of patients by NGOs accelerated patient flow.