Optimising the location of Breast Cancer diagnostic services across Devon


30 Second Summary

Over 6000 patients are referred annually for fast-track breast symptom diagnosis at RD&E and NDDH. Increasing referrals and limited infrastructure necessitate building or extending diagnostic units. The project aims to determine optimal locations for additional services to minimize patient travel time and reduce costs, using data science to map demand and calculate travel distances and benefits.

Geographic Modelling
Travel Times
Cancer
Women's Health
Authors
Affiliation

Gill Baker

Royal Devon University Healthcare NHS Foundation Trust

Brandon Jones

Royal Devon University Healthcare NHS Foundation Trust

Kat Pamatmat

Royal Devon University Healthcare NHS Foundation Trust

Over 6000 patients a year are referred to Royal Devon & Exeter Hospital (RD&E) and North Devon District Hospital (NDDH) for fast-track breast symptom diagnosis. The fast-track clinic requires a clinician, a mammography team and a consultant radiologist/radiographer plus support staff. The imaging needs to take place in specialised rooms. As population and awareness of breast cancer increases there are increasing referrals and the current infrastructure at both RD&E and NDDH will not be sufficient to meet future demand. It is therefore necessary to build a new breast diagnostic unit or extend an existing one. It is likely to be prohibitively expensive to build at both NDDH and RD&E. At present specific GP surgeries refer patients to either NDDH or RD&E. However, the two hospitals are now managed as part of a single NHS Trust called RDUH. Each hospital requires breast diagnosis infrastructure on site as it is used for inpatient and emergency admissions as well as for elective diagnosis services so we need at least two breast diagnosis centres but data science may be used to help determine whether there is a value in building a third centre and/or diverting referrals from specific GPs to one of the existing units.

The aim of this project is to determine where additional breast diagnostic services should be placed to minimise overall travel time for patients whilst reducing infrastructure and running costs.

Objectives include the following: