Breast cancer poses a global burden, with thousands of women undergoing surgery annually. Recently, there’s a growing acknowledgment of the importance of developing a patient-centered care, leading to increased interest in Patient-Reported Outcome Measures (PROMs): this, in the oncology setting, translates into the distribution of validated tools like the BREAST-Q survey, that is specifically designed for breast cancer patients. Using data collected through the BREAST-Q survey in the University Hospital of Pisa (Italy) between 2018 and 2022, this research explores the causal relationship between the quality of pre-operative information provided by the surgeon to the patient and the post-surgery patient satisfaction with the results after surgery. We employ Item Response Theory (IRT) models to estimate patient-level fulfillment with pre-surgery information and post-surgery overall satisfaction. Then, using estimated traits, we assess the causal effect of information quality on post-surgery breast satisfaction through an Exposure Response Curve (ERC), accounting for various individual pre-exposure characteristics.