ESTRO 2021 Abstract Book

S226

ESTRO 2021

Conclusion RTTs spIGRT experience their role positively. Their knowledge confidence seems to rely on the training received. For the majority of the participants the RTT spIGRT role has an influence on the quality of patient’s treatments. However, there are some concerns especially about the need of continuous follow up and training. Role improvement strategies with focus on visibility, regular meetings and training should be considered. This study might represent an example of proof of concept in the Belgian RTT context, hence representing the urgent need of a legal framework to encourage formal RTT training and continuous education. OC-0316 Knowledge and skills for MRI in radiotherapy practice: An international modified Delphi study M. Campbell 1 , L. D'Alimonte 2 , K. Porter 3 , D. Erler 1 , S. Morassaei 4 , J. Croke 5 1 Sunnybrook Health Sciences Centre, Radiation Therapy, Toronto, Canada; 2 Windsor Regional Hospital, Radiation Therapy, Windsor, Canada; 3 Public Health Scotland, Clinical and Protecting Health Directorate, Edinburgh, United Kingdom; 4 Sunnybrook Health Sciences Centre, Practice-Based Research & Innovation, Toronto, Canada; 5 Princess Margaret Cancer Centre, Radiation Oncology, Toronto, Canada Purpose or Objective To develop an inventory of requisite knowledge and skills for Radiation Therapists (RTTs) to use and operate magnetic resonance imaging (MRI) in radiation therapy (RT) practice. Materials and Methods A preliminary list of candidate knowledge and skills statements was refined through a review of public and professional resources, published materials and semi-structured one-on-one interviews with experts. A modified 2-round Delphi process was then used to obtain expert consensus. The panel included RTTs, RTTs certified in MRI, MRI technologists, medical physicists and radiation oncologists. Round 1 consisted of an e- survey in which experts independently rated the candidate knowledge and skills statements on a 9-point Likert scale (1 = strongly disagree, 9 = strongly agree) indicating the appropriateness for inclusion in an MRI in RT competency profile. Clarity of each statement was assessed using a 3-point Likert scale and experts could provide commentary and recommend additions. Statement means and standard deviations were calculated using the responses. A thematic analysis of experts’ comments and recommendations was completed. In the Round 2a e-survey, a smaller group of experts scored statements that were significantly reworded and new statements that were generated based on the Round 1 thematic analysis on the same 9-point Likert scale. Statement means were order ranked and quartiles were calculated to assess the spread of agreement on items within a domain. Statements in the lowest quartile were dropped, while statements in the highest quartile were included in the final inventory. Statements in the intermediate quartile were rescored using a binary system in the Round 2b online survey by the same experts, with only the statements ranked for inclusion by