The Impact of Rurality and Disadvantage on the Diagnostic Interval for Breast Cancer in a Large Population-Based Study of 3202 Women in Queensland, Australia
Bibliographic Data
| ID | 15515007 |
|---|---|
| Authors | Philippa Youl (0000-0001-6318-5741, Griffith University, corresponding author), Joanne F Aitken (0000-0001-6859-2186, Queensland University of Technology), Gavin Turrell (0000-0002-3576-8744, Australian Catholic University), Suzanne K Chamber (0000-0003-2369-6111, Griffith University), Jeff Dunn (0000-0002-1180-3381, Griffith University), Christopher Pyke (0000-0002-8764-0742, Mater Health Services), Peter David Baade (0000-0001-8576-8868, Griffith University) |
| Year | 2016 |
| Volume | 13 |
| Issue | 11 |
| Pages | 1156-1156 |
| Publication date | 2016-11-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph13111156 |
| PMID | 27869758 |
| OpenAlex | W2551853401 |
| Language | EN |
| Citations received | 1 |
| References cited | 3 |
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
Breast cancer · Cancer · Cohort · Confidence interval · Disadvantage · Disadvantaged · Environmental health · Family medicine · Indigenous · Logistic regression · Odds · Odds ratio · Pathology · Population · Rural area · Rurality · Cancer Risks and Factors · Colorectal Cancer Screening and Detection · Demography · Global Cancer Incidence and Screening · Medicine · Internal Medicine · Pediatrics
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |