ESTRO 2024 - Abstract Book

S2820

Interdisciplinary - Health economics & health services research

ESTRO 2024

Results:

45,450 patients were included in the study, median ages 72, 63 and 70 years for lung, breast and prostate patients, respectively. Median travel time for all patients was 28 minutes (interquartile range 20 to 39 minutes), maximum 176 minutes. Patients with shorter travel times were more likely to receive radiotherapy for lung and breast cancers. For lung cancer, radiotherapy treatment rates were highest for patients with travel times of 0 to <15 minutes (40.9%, 95%CI 38.6-43.3%) and lower with travel times of 30 minutes or more (35.2%, 95%CI 34.1-36.2%) (p<0.001). For breast cancer, radiotherapy treatment rates were lower for patients who travelled 30 to <60 minutes (64.3% 95%CI 63.1-65.4%) compared to those who travelled 15 to <30 (68.4%, 95%CI 67.3-69.5%) minutes (p<0.001), although they were not clearly higher for those with travel times shorter than 15 minutes (68.6%, 95%CI 66.1-70.9%) (p=0.91). There was no clear relationship between travel time and receipt of radiotherapy among patients with prostate cancer although radiotherapy use was higher in those who had travelled 75 or more minutes (38.2%, 95%CI 29.8-47.1%) compared with 15 to <30 minutes (29.5%, 95%CI 28.1-30.7% ) (p=0.031). Adjustment for age, socio-economic circumstances and sex (for lung cancer, only) did not significantly alter these observations.

Conclusion:

We found that increasing distance from patients’ homes to radiotherapy centres was associated with lower use of radiotherapy for lung and breast cancer. While it seems unlikely that other clinical indications for radiotherapy would explain this finding, further work is needed to describe cancer stage and comorbidities. Since radiotherapy facilities cannot readily be distributed in multiple geographic locations, interventions should be trialled to assess and meet the transport needs of cancer patients eligible for radiotherapy.

Keywords: access, travel, uptake

1656

Digital Poster

Process Mining as benchmark for Efficiency and Optimization in a high-volume radiation oncology

Federico Mastroleo 1,2 , Roberto Gatta 3 , Mariagrazia Lorusso 3 , Stefania Volpe 1,4 , Stefania Orini 3 , Mattia Zaffaroni 1 , Maria Giulia Vincini 1 , Giulia Corrao 1 , Massimo Sarra Fiore 1 , Elena Rondi 5 , Anna Maria Ferrari 1 , Federica Cattani 5 , Pierfrancesco Franco 2 , Roberto Orecchia 6 , Giulia Marvaso 1,4 , Barbara Alicja Jereczek-Fossa 1,4 1 IEO European Institute of Oncology IRCCS, Division of Radiation Oncology, Milan, Italy. 2 University of Piemonte Orientale, Department of Translational Medicine, Novara, Italy. 3 University of Study of Brescia, Clinical and experimental sciences, Brescia, Italy. 4 University of Milan, Department of Oncology and Hemato-Oncology, Milan, Italy. 5 IEO European Institute of Oncology IRCCS, Unit of Medical Physics, Milan, Italy. 6 IEO European Institute of Oncology IRCCS, Scientific Direction, Milan, Italy

Purpose/Objective: