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A simple tool for rapid access to a symptomatic breast clinic
C Campbell1, P Durning, I Cheema
1School of Social Sciences and Law, University of Teesside, Middlesbrough, UK. carol.campbell@tees.ac.uk
Summary
A new breast cancer referral schema improves early detection by stratifying patients based on symptoms, age, and risk. This system aims to expedite diagnosis for high-risk individuals, reducing delays in care.
Area of Science:
- Oncology
- Medical Diagnostics
- Public Health
Background:
- Rapid referral systems can increase benign cases, potentially delaying cancer diagnoses.
- Current guidelines may not adequately identify patients with lower-risk symptoms who still require timely evaluation.
- Effective breast cancer screening relies on accurate and efficient patient referral pathways.
Purpose of the Study:
- To develop a novel referral schema for symptomatic breast units.
- To improve the accuracy of breast cancer risk prediction in referred patients.
- To expedite the referral of high-risk patients from primary care.
Main Methods:
- Prospective audit of 2064 patients referred to a symptomatic breast unit.
- Collection of demographic details, referral mode, patient history, and presenting symptoms.
- Statistical analysis using Odds Ratios (OR) to identify predictive variables for breast cancer.
Main Results:
- Eight dependent variables improved breast cancer prediction accuracy by 30%.
- A breast referral schema was developed based on symptom analysis, patient age, and cancer risk.
- The schema is designed to prioritize and expedite referrals for patients at higher risk.
Conclusions:
- Implementing the proposed schema in primary care can enhance early breast cancer detection.
- The schema aims to optimize the use of symptomatic breast unit appointments.
- Improved referral accuracy can lead to better patient outcomes in breast cancer management.