Online application for self-referral of the patients with breast symptoms.

ABSTRACT:

Introduction

The study aimed to devise a self-referral mobile/web application for patients with new breast symptoms, giving them an outcome, thus bypassing the need for primary care consultation.

Methods

The online application was designed on the automated algorithm based on evidence-based guidelines for referral to breast onco-plastic units. A retrospective questionnaire-based anonymous survey was carried out at the breast unit in Southend University Hospital (January 2019 to March 2020). The outcome of the patients was recorded, the same data was entered in the software and its outcome was compared with their clinic outcome to assess and validate the software. Chi-square and t-test were used in formulating results.

Results

Data was collected for 366 patients who were referred urgently to the clinic. Only 50.5% (n = 186) were appropriately referred, with the main complaint being breast lump (94.1%). 39.6% of referred patients did not require a secondary care referral. Sensitivity and specificity for identifying patients requiring urgent referral was 100% and 98%, respectively.

Conclusion

A significant number of urgent referrals to breast units do not require urgent specialist referral, and this results in a big strain on the hospital service. The discussed self-referral pathway is a promising alternative with the potential to reduce workload in primary and secondary care and improve patient satisfaction.

SUBMITTER: Rao A 

PROVIDER: S-EPMC8141459 | biostudies-literature |

REPOSITORIES: biostudies-literature