Michael Milosevic1, Crystal Angers2, Brian Liszewski3, C Suzanne Drodge4, Eve-Lyne Marchand5, Jean Pierre Bissonnette6, Erika Brown7, Peter Dunscombe8, Jordan Hunt9, Haiyan Jiang6, Krista Louie9, Gunita Mitera10, Kathryn Moran11, Tony Panzarella6, Matthew Parliament12, Spencer Ross9, Michael Brundage13. 1. University Health Network and Princess Margaret Cancer Center, Toronto, Canada; University of Toronto, Toronto, Canada. Electronic address: mike.milosevic@rmp.uhn.ca. 2. The Ottawa Hospital Cancer Center, Ottawa, Canada. 3. Odette Cancer Center and Sunnybrook Hospital, Toronto, Canada. 4. Dr. H. Bliss Murphy Cancer Center, St. John's, Canada. 5. Hopital Maisonneuve Rosemont, Montreal, Canada. 6. University Health Network and Princess Margaret Cancer Center, Toronto, Canada. 7. Canadian Partnership for Quality Radiotherapy (CPQR), Red Deer, Canada. 8. University of Calgary, Calgary, Canada. 9. Canadian Institute for Health Information, Ottawa, Canada. 10. Canadian Partnership Against Cancer, Toronto, Canada. 11. Nova Scotia Cancer Center, Halifax, Canada. 12. Cross Cancer Institute and University of Alberta, Edmonton, Canada. 13. Cancer Center of Southeastern Ontario and Queen's University, Kingston, Canada.
Abstract
PURPOSE: Incident investigation, reporting, and learning are core elements of quality improvement in radiation treatment. This report describes the development of a Canadian National System for Incident Reporting in Radiation Treatment (NSIR-RT), focusing especially on the taxonomy. METHODS AND MATERIALS: The NSIR-RT was developed to provide a framework in Canada for reporting and analyzing radiation treatment incidents. A key objective was to assure compatibility with other international reporting systems to facilitate future information exchange. The Canadian community was engaged at every step of the development process through Delphi consensus building and inter-user agreement testing to promote awareness of the system and motivate broad-based utilization across the country. RESULTS: The final taxonomy was comprised of 6 data groups (impact, discovery, patient, details, treatment delivery, and investigation) and 33 data categories with predefined menu options. There was a high level agreement within the Canadian community about the final suite of data categories, and broad alignment of these categories with the World Health Organization and other American and European radiation treatment incident classifications. CONCLUSIONS: The Canadian NSIR-RT taxonomy will be implemented as an online, web-based reporting and analysis system. It is expected that the taxonomy will evolve and mature over time to meet the changing needs of the Canadian radiation treatment community and support radiation treatment incident learning on a global scale.
PURPOSE: Incident investigation, reporting, and learning are core elements of quality improvement in radiation treatment. This report describes the development of a Canadian National System for Incident Reporting in Radiation Treatment (NSIR-RT), focusing especially on the taxonomy. METHODS AND MATERIALS: The NSIR-RT was developed to provide a framework in Canada for reporting and analyzing radiation treatment incidents. A key objective was to assure compatibility with other international reporting systems to facilitate future information exchange. The Canadian community was engaged at every step of the development process through Delphi consensus building and inter-user agreement testing to promote awareness of the system and motivate broad-based utilization across the country. RESULTS: The final taxonomy was comprised of 6 data groups (impact, discovery, patient, details, treatment delivery, and investigation) and 33 data categories with predefined menu options. There was a high level agreement within the Canadian community about the final suite of data categories, and broad alignment of these categories with the World Health Organization and other American and European radiation treatment incident classifications. CONCLUSIONS: The Canadian NSIR-RT taxonomy will be implemented as an online, web-based reporting and analysis system. It is expected that the taxonomy will evolve and mature over time to meet the changing needs of the Canadian radiation treatment community and support radiation treatment incident learning on a global scale.
Authors: Stuart Greenham; Stephen Manley; Kirsty Turnbull; Matthew Hoffmann; Amara Fonseca; Justin Westhuyzen; Andrew Last; Noel J Aherne; Thomas P Shakespeare Journal: Rep Pract Oncol Radiother Date: 2018-05-10