Effects of the growing prevalence in oncology: A real-world study on the estimated workload.
e14148 Background: The increasing prevalence of cancer patients due to new effective treatments is leading to a growing demand in oncology activities, thus requiring a re-modelling towards more sustainable systems. The aim of this study is to estimate the workload generated by each new cancer patient referred to the Oncology Department of the Academic Cancer Center of Udine, Italy, within the two years from first consultation. Methods: We have utilised our electronic “Data Warehouse” accountability system to retrieve anonymous aggregate data of the 2-year oncology workload generated by each new diagnosis, leading to an initial consultation, occurring between 01.01.2012 and 31.12.2017. Initial consultations with no clinical episode in the following 12 months were excluded. Mean value per patient and standard deviations were calculated for the following clinical activities: treatment sessions, unplanned presentations, hospitalisations, re-assessments, follow-up visits and inpatient oncology advices. The total number of patients treated and of episodes were recorded. Follow-up data was collected up to 31.12.2019. Results: During the observation period, 7,454 newly diagnosed patients were referred to our Oncology Unit, resulting in a total of 92,830 clinical activities occurring over an 8-year period. In 1,788 pts (24.0%) only follow-up was needed; 3,152 pts (42.3%) were referred for adjuvant treatment and 2,514 (33.7%) for advanced disease management. Overall, the mean number of clinical activities per patient within the first 2 years was: 6.04 pre-treatment evaluations (52.9%; SD 8.81; 45,003 total episodes), 2.00 follow-up visits (17.5%; SD 1.89; 14,922 total episodes), 0.42 hospitalisations (3.7%; SD 1.21; 3,141 total episodes), 0.36 inpatient oncology advices (3.2%; SD 0.83; 2,705 total episodes), 1.57 re-assessments (13.8%; SD 2.28; 11,723 total episodes) and 1.02 unplanned presentations (8.9%; SD 2.17; 7,601 total episodes). Subgroup analysis in the different tumors and settings are ongoing. Conclusions: The landscape of cancer care is changing due to the growing prevalence of cancer patients that experience longer overall survival. Trying to estimate the amount of clinical activities generated by any new diagnosis is crucial for implementing new models of oncology management and for programming an adequate workforce supply.