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Becoming virtually real: using the Virtual Environment for Radiotherapy Training (VERT™) platform for the summative assessment of performance in a palliative radiotherapy treatment technique

Published online by Cambridge University Press:  03 March 2022

Andrew Williams*
Affiliation:
AECC University College, Bournemouth, UK
Shelley Blane
Affiliation:
AECC University College, Bournemouth, UK
*
Author for correspondence: Andrew Williams, AECC University College, Parkwood Campus, Parkwood Rd., Bournemouth BH5 2DF, UK. E-mail: awilliams@aecc.ac.uk

Abstract

Introduction:

Direct observation in the radiotherapy clinic remains the primary method for the assessment of procedural skills. But with increasing automation and reductions in clinical placement time during the recent pandemic, the role of summative, simulation-based assessment is being revisited. The aim of this article is to share early experiences of using Virtual Environment for Radiotherapy Training (VERT) in the assessment of a palliative, parallel pair, external beam treatment delivery technique in a new pre-registration undergraduate programme.

Methods:

Eight first-year students completed a campus-based individual virtual assessment using virtual patient plans representing metastatic disease in the brain and pelvis and late-stage primary lung tumours. Performance was logged on a 25-item checklist for pre and post-procedure checks and treatment delivery tasks.

Results:

All eight students participated in the assessment with seven students (87·5%) achieving a pass grade at first attempt. The course team observed that participants demonstrated a range of skills and abilities and were able to compare and contrast individual approaches to patient positioning. Specific feed-forward action points were also highlighted as areas for students’ to focus on during their second placement. The project also identified logistical benefits for assessment teams.

Conclusions:

While these experiences are a single snapshot, a VERT simulation-based summative assessment is feasible and identified benefits included controlled observation and structured feedback on individual performance and scheduling pressure reductions for clinical teams. However, more work is needed to determine the psychometric qualities and predictability of performance in more complex techniques.

Type
Educational Note
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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