Early Point-of-Service Social and Behavioral Determinants of Health (SBDOH) Screening and Enhanced Navigation on Care Delivery for Patients With Breast Cancer

The overarching goal of this project is to optimize the collection of social and behavioral determinants of health (SBDOH) for patients with a pathological diagnosis of breast cancer at Penn Medicine. The investigators will measure rates of SBDOH data collection by modality and rates of referral to and uptake of social support services, time to evaluation, staff time, acceptability, patient-centered communication, medical mistrust, and clinician acceptability.

Inclusion Criteria: Based on available EHR data, patients will be eligible for Activities 1 and 2 if they: * Are referred to one of the following locations for surgical consult following a new diagnosis of operable (Stage 0-III) breast cancer: the Hospital of the University of Pennsylvania (HUP), Penn Presbyterian Medical Center (PPMC), Pennsylvania Hospital (PAH), and Penn Medicine Radnor * Are female * Are 18 years of age or older, and * Are able to read and speak English or Spanish Clinicians and clinical leaders will be eligible for participation in Activity 2 if they: * Presently work as a clinician or clinical leader in breast surgery or oncology * Access PennChart as an aspect of their clinical duties * Are 18 years of age or older * Are able to read and speak English or Spanish Exclusion Criteria: Based on available EHR data, patients will be ineligible if they: * Are listed as not wanting to be contacted or solicited for research; * Have known metastatic disease at time of enrollment; and/or * Do not otherwise meet all of the enrollment criteria Clinicians and clinical leaders will be ineligible for participation in Activity 2 if they: * Are not presently engaged in clinical duties or * Do not otherwise meet all of the enrollment criteria This study will not exclude men or nonbinary people who may be diagnosed with breast cancer, but investigators anticipate the sample size for these characteristics will be too small to support meaningful analysis.