The Unmet Needs and the Workplace Reintegration of Breast Cancer Patients: the NEW-BreCa Project

BC accounts for one of the highest worldwide public health burden, representing a population with increasing trends in Western countries. In Italy, BC is the most common diagnosis in female sex across all age groups, and the 50% were in their working age (between 20 and 64 years old). Although early diagnostic methods and effective treatments offer BC patients a longer lifespan, the effects of therapies negatively impact on patients' daily lives and quality of life. BC patients might perceive variable needs (e.g., information, psychological) related to the experience of cancer and the care process that are considered as necessary to achieve goals in everyday life and return to normalcy. Unmet needs may arise when a gap occurs between a person's experience of healthcare services and the actual services require. Thus, care models for this population should be planned in the light of the most recent evidences. Although the RTW is one of the necessities of BC patients, cancer survivors are more likely to be unemployed than healthy individuals and some difficulties may occur during the RTW process. Sociodemographic data, disease-related, and work-related factors might act as predictors of the unmet needs perceived by BC patients and the employment status from diagnosis onwards. In Italy, unmet needs and RTW of BC patients have been investigated only through cross-sectional studies. This type of study design does not allow to determine the causal relationship between potential determinants and unmet needs and occupational status, as well as the changes occurred from the diagnosis onwards. Prospective data regarding these topics have never been collected in Italian BC patients. Thus, the investigators aim (1) to investigate the factors that could predict job loss, work difficulties, and long-term sick leave in BC patients of working age and (2) to investigate the factors that could predict the daily life needs of BC patients. The investigators have planned a prospective data collection that will last 24 months. During the observations, the investigators will collect sociodemographic data, disease-related, and work-related factors.