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An Innovative Learning Tool for Radiation Therapy Treatment Plan Evaluation: Implementation and Evaluation.
Winter, Jeff D; Adleman, Jenna; Purdie, Thomas G; Heaton, Jacqueline; McNiven, Andrea; Croke, Jennifer.
Affiliation
  • Winter JD; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
  • Adleman J; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Purdie TG; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Heaton J; School of Computing, Queens University, Kingston, Ontario, Canada.
  • McNiven A; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Croke J; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada. Electronic address: jennifer.croke@rmp.uhn.ca.
Int J Radiat Oncol Biol Phys ; 107(4): 844-849, 2020 07 15.
Article in En | MEDLINE | ID: mdl-32259570
ABSTRACT

PURPOSE:

To design, develop, and evaluate an interactive simulation-based learning tool for treatment plan evaluation for radiation oncology and medical physics residents to address gaps in learning. METHODS AND MATERIALS We first conducted a needs assessment for optimal learning tool design and case selection. Next, we generated a curated database of cases with clinically unacceptable treatment plans accessible through an in-house developed interactive web-based digital imaging and communications in medicine-radiation therapy viewer. We then developed an interactive user module that allows case selection, learner participation, and immediate feedback, including the final clinically acceptable plan. We pilot tested this case bank learning tool with current radiation oncology and medical physics residents within our institution. Afterward, residents completed an evaluation of tool design, content, and perceived impact on learning and provided suggestions for improvement.

RESULTS:

We generated 70 cases and learning modules for the case bank, encompassing various clinical sites, levels of difficulty, and classified errors. Residents positively endorsed the learning tool, including design, content, and perceived impact on learning. The learning tool's interactivity was perceived to provide increased educational value compared with other current learning methods.

CONCLUSIONS:

We created a high-fidelity simulation platform for treatment plan evaluation linked to a curated case bank. Evaluation of the pilot deployment demonstrated a benefit for resident learning and competency attainment. Future directions include external validation and expansion.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Education, Medical / Inventions / Learning Type of study: Evaluation_studies / Sysrev_observational_studies Aspects: Implementation_research Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2020 Document type: Article Affiliation country: Canada

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Education, Medical / Inventions / Learning Type of study: Evaluation_studies / Sysrev_observational_studies Aspects: Implementation_research Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2020 Document type: Article Affiliation country: Canada