Factors Influencing Time From Diagnosis to Treatment of Breast Cancer and the Impact of Longer Waiting Time on Survival in Kathmandu Valley, Nepal: A Population-Based Study.

Abstract

Purpose: Longer time between breast cancer (BC) diagnosis and treatment initiation is associated with poorer survival, and this may be a factor behind disparities in global survival rates. We assessed time to BC treatment in the Kathmandu Valley, Nepal, including factors associated with longer waiting times and their impact on survival.

Methods: We conducted a retrospective population-based study of BC cases recorded in the Kathmandu Valley Population-Based Cancer Registry between 2018 and 2019. Fieldwork survey through telephone was undertaken to collect additional sociodemographic and clinical information. Logistic regression was performed to identify factors associated with longer time to treatment, and Kaplan-Meier and Cox proportional hazard regression was used to examine survival time and evaluate the association between longer time to treatment and survival.

Results: Among the 385 patients with BC, one third waited >4 weeks from diagnosis to initial treatment. Lower education was associated with longer time to treatment (adjusted odds ratio, 1.63 [95% CI, 1.03 to 2.60]). The overall 3-year survival rate was 88.6% and survival was not associated with time to treatment (P = .50). However, advanced stage at diagnosis was associated with poorer survival (adjusted hazard ratio, 4.09 [95% CI, 1.27 to 13.23]). There was some indication that longer time to treatment was associated with poorer survival for advanced-stage patients, but data quality limited that analysis.

Conclusion: In the Kathmandu Valley, Nepal, women with a lower education tend to wait longer from BC diagnosis to treatment. Patients with advanced-stage BC had poorer survival, and longer waiting time may be associated with poorer survival for women diagnosed with advanced-stage disease.