International Survey on Frailty Assessment in Patients with Cancer

Abstract Background Frailty negatively affects the outcomes of patients with cancer, and its assessment might vary widely in the real world. The objective of this study was to explore awareness and use of frailty screening tools among the ONCOassist healthcare professionals (HCPs) users. Materials and Methods We sent 2 emails with a cross-sectional 15-item survey in a 3-week interval between April and May 2021. Differences in the awareness and use of tools according to respondents’ continents, country income, and job types were investigated. Results Seven hundred thirty-seven HCPs from 91 countries (81% physicians, 13% nurses, and 5% other HCPs) completed the survey. Three hundred and eighty-five (52%) reported assessing all or the majority of their patients; 518 (70%) at baseline and before starting a new treatment. Three hundred and four (43%) HCPs were aware of performance status (PS) scores only, 309 (42%) age/frailty/comorbidity (AFC) screening, and 102 (14%) chemotoxicity predictive tools. Five hundred and thirty-seven (73%) reported using tools; 423 (57%) just PS, 237 (32%) AFC, and 60 (8%) chemotoxicity ones. Reasons for tools non-use (485 responders) were awareness (70%), time constraints (28%), and uselessness (2%). There were significant differences in awareness and use of screening tools among different continents, country income, job types, and medical specialties (P < .001 for all comparisons). Conclusion Among selected oncology HCPs, there is still a worldwide lack of knowledge and usage of frailty screening tools, which may differ according to their geography, country income, and education. Targeted initiatives to raise awareness and education are needed to implement frailty assessment in managing patients with cancer. This article reports the results of an international survey investigating clinicians’ understanding of frailty screening tools. Significant differences in knowledge and usage of was found, with significant differences among continents, country income, job type, and medical specialty.