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.
|Number of pages||20|
|Journal||International Journal of Environmental Research and Public Health|
|Publication status||Published - 19 Nov 2016|