Access My Breast Cancer Care App

Background: This App has been developed by stakeholders engaged in breast cancer reconstruction, including patients, physicians, allied health workers, hospital administration, and hospital leadership. Its development and evaluation follow the Cancer Care Research framework to ensure its utility and integration are optimized for impact in cancer care

Purpose: To evaluate whether a centralized breast cancer care app can improve patient navigation, empowerment, and decision-making, while also reducing the number of in person clinic visits, and time from symptom onset to specialist review. The investigators will also evaluate app usability and usage.

Hypothesis: Providing patients with access to the "Access my Breast Cancer Care" app will improve patient care satisfaction and patient outcomes compared to usual standard care, resulting in fewer in person clinic visits, high satisfaction of care, earlier detection of complications, and greater patient confidence in managing their care.

Justification: Breast cancer patients often face fragmented care and difficulty accessing timely resources. A centralized app may provide consistent support, improve communication, and enhance efficiency in care delivery. Evaluating its impact is necessary to determine the benefits to patients and potential cost savings for the healthcare system.

Objectives: 1) To evaluate, from the patient perspective, the impact of a centralized breast cancer app on navigation of the breast cancer journey when undergoing reconstruction; 2) To evaluate the impact of a centralized breast cancer app on the delivery of care, including number of in-person specialist visits and time from symptom onset to specialist review; 3) To evaluate the app usability and usage during the breast cancer journey.

Research design: A mixed methods approach will be utilized. A randomized control trial with both quantitative and qualitative data will be collected and analyzed. Quantitative outcomes include BREAST-Q scores, MARS scores, SUS scores, and delivery of care quality indicators.

Statistical analysis: Qualitative analysis will be completed using constant comparison and retrieval of themes. Primary analysis of patient care satisfaction using the BREAST-Q will be conducted using ANCOVA. For secondary outcomes, the investigators will apply negative binomial regression for number of in person visits, survival analysis using Kaplan-Meier curves, and log-rank test for time to specialist review, gamma regression with log link to assess information seeking time, and wilcoxon sum for app usability using the MARS and/or SUS scale. The investigators will use measures of central tendency to evaluate app usage (# of logins and # of education resources accessed).