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Title: Radiation therapy staffing model 2014.
Austin Authors: Smith, Leigh J;Kearvell, Rachel;Arnold, Anthony J;Choma, Kevina;Cooper, Aniko;Young, Michael R;Matthews, Donna L;Hilder, Bronwyn;Howson, Debbie;Fox, Katherine;Churcher, Katheryn
Affiliation: Department of Radiation Oncology, The Alfred, Prahran, Victoria, Australia
Radiation Therapy Advisory Panel, Australian Society of Medical Imaging and Radiation Therapy (formerly Australian Institute of Radiography), Melbourne, Victoria, Australia
Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
Illawarra Shoalhaven Cancer & Haematology Network, Wollongong, New South Wales, Australia
Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
Townsville Cancer Centre, Townsville Hospital, Douglas, Queensland, Australia
WP Holman Clinic, Royal Hobart Hospital, Hobart, Tasmania, Australia
School of Health Sciences, International Centre for Allied Health Evidence (iCAHE), University of South Australia, Adelaide, Australia
Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Victoria, Australia
Issue Date: Dec-2016
Publication information: Journal of medical radiation sciences 2016; 63(4): 209-216
Abstract: In 2001, the Radiation Therapy Advisory PanelĀ (RTAP) of the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) (formerly known as Australian Institute of Radiography) published a model for radiation therapist staffing in Australian radiation oncology departments. Between 2012-2013, the model was reviewed to ensure it reflected current radiation therapy practice, technology, and to facilitate forward planning of the radiation therapy workforce. Twenty-four sites from all states participated and provided data on megavoltage simulation, planning and treatment delivery. For simulation and planning activity, the length of time to complete was collected against relevant Medicare Benefits Schedule (MBS) items. For treatment delivery, time to complete activities was collected against a common set of activities. Modelling assumptions are clearly identified in the methodology. A new model was developed retaining the essential model parameter of full-time equivalent (FTE) radiation therapists (RTs) per linear accelerator operating hour as in the 2001 model but based on contemporary practice and data. The model also includes significant refinements that improve the model's overall utility and flexibility for both workforce planning purposes and for individual services to use the model according to their own organisational needs and service delivery profiles. The ASMIRT believes that the 2014 RT staffing model provides the utility and flexibility for radiation oncology services to best plan RT staffing establishments according to their needs and reflecting the diversity between services and within the sector. It should also provide a robust and valid basis for governments and service planners to use as a guide in workforce planning into the future.
DOI: 10.1002/jmrs.198
Journal: Journal of medical radiation sciences
PubMed URL: 27910290
Type: Journal Article
Subjects: Planning
radiation therapy
staffing model
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