The overall goal is to develop and assess the impact of standardized and generalizable simulation-based training (specific aim #1), and user interface and cognitive workflows enhancements (specific aim #2) on radiation therapy (RT) providers'performance and mental workload. Rationale: Errors in Radiation Therapy (RT) are estimated to occur in up to H 5% of the >H600,000 patients receiving RT per year in the US;with serious/lethal events occurring H 1 of 1,000-10,000 patents. The relatively high error rates and the potential for catastrophic events in RT is very concerning, and highlights underlying systematic challenges with performance and mental workload that need to be addressed. Thus, the findings from this study will have direct implications for a large number of patients. Methods: Subjects, randomized to receive (vs. not receive) simulation-based training and to 'current'vs. 'enhanced'user interfaces and cognitive workflows, will have pre- and post- assessments to quantify the impact of these interventions on a RT providers'performance and mental workload. Using a 2 x 2 balanced randomization design, we will use analysis of variance (ANOVA) to evaluate main and interaction effects from the four groups (+/-simulation-based training, and 'current'vs. 'enhanced'user interface and cognitive workflow). Research areas: Patient safety, mental workload, individual performance, simulation. Scientific disciplines: Cognitive and Behavioral Sciences;Human Factors.

Public Health Relevance

Errors in Radiation Therapy (RT) are estimated to occur in up to H 5% of the >H600,000 patients receiving RT per year in the US;with serious/lethal events occurring H 1 of 1,000- 10,000 patents. The overall goal is to develop and assess the impact of standardized and generalizable simulation-based training, and user interface and cognitive workflows enhancements on RT providers'performance and mental workload. The resulting knowledge from this study will help to enhance RT providers'ability to detect and manage uncommon but potentially lethal events, and thus maximize patient safety.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Research Demonstration and Dissemination Projects (R18)
Project #
1R18HS023458-01
Application #
8793989
Study Section
Special Emphasis Panel (HSQR)
Program Officer
Henriksen, Kerm
Project Start
2014-09-30
Project End
2017-09-29
Budget Start
2014-09-30
Budget End
2017-09-29
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Mazur, Lukasz M; Marks, Lawrence B; McLeod, Ron et al. (2018) Promoting safety mindfulness: Recommendations for the design and use of simulation-based training in radiation therapy. Adv Radiat Oncol 3:197-204
Mazur, Lukasz M; Mosaly, Prithima R; Moore, Carlton et al. (2016) Toward a better understanding of task demands, workload, and performance during physician-computer interactions. J Am Med Inform Assoc 23:1113-1120