Incremental oncology workload generated by immunotherapy in the first-year of treatment.
e14143 Background: The rapid development of immunotherapy (IO) has transformed the cancer therapy landscape with growing impact on oncology workload. Given the few data on this topic, we conducted a study to estimate the shift in workload generated by any new metastatic cancer patient treated with IO and referred to the Oncology Department of the Academic Academic Cancer Center of Udine, Italy, within the 12 months of first consultation. Methods: We collected from our “Data Warehouse” electronic accountability system all new diagnosis of metastatic cancer between 01.01.2017 and 31.12.2018, resulting in a first consultation and leading to a second clinical episode during the following year, in order to assess the oncology workload. The population was divided into patients that received IO (anti-CTLA-4/PD-1/PDL1) versus patients treated with “other treatments”. Mean number per patient and standard deviation were calculated for clinical episodes (first consultations, treatment sessions, unplanned presentations, hospitalizations, re-evaluations, follow-up and inpatient oncology advices). The total number of patients treated and the number of episodes were recorded. Mean numbers of episodes in the IO group and “other treatments” group were compared using Student’s t-test (significance p < 0.005). Follow-up data was collected up to 31.12.2019. Results: A total number of 969 patients were considered (854 “other treatments” group and 115 IO group), resulting in a total of 12407 clinical episodes over the period of 12 months (first consultations excluded). Compared to “other treatments” group, patients in the IO group generated a greater workload in terms of treatment sessions (9.59 vs 6.83 per patient, p < 0.0001), re-evaluations (2.55 vs 1.88, p = 0.0002), and unplanned presentations (2.19 vs 1.51, p = 0.08). On the other hand, follow-up visits workload was greater for “other treatments” group (0.83 vs 0.63, p = 0.0002). No differences were found regarding hospitalizations and inpatient oncology advices. Further analysis will be presented. Conclusions: IO represents a new frontier in oncology landscape, leading to outcome’s improvement and longer lasting treatment periods. The estimate of oncology workload generated by new diagnosis of metastatic cancer requiring IO, is crucial for implementing more sustainable systems and for planning clinical activities.