• Peter T Gilchrist, Neil St M Beaton, Jodie N Atkin, and Lindy J Roberts.
• Flinders and Upper North Local Health Network, Whyalla, Australia.
• Anaesth Intensive Care. 2024 Jan 1; 52 (1): 6156-15.

AbstractIn 2023, a Diploma of Rural Generalist Anaesthesia (DipRGA) was implemented across Australia. Developed collaboratively by the Australian and New Zealand College of Anaesthetists (ANZCA), the Australian College of Rural and Remote Medicine (ACRRM) and the Royal Australian College of General Practitioners (RACGP), the 12-month qualification is completed during or following ACRRM or RACGP Rural Generalist Fellowship training. Focused on the needs of rural and remote communities for elective and emergency surgery, maternity care, resuscitative care for medical illness or injury, and stabilisation for retrieval, the DipRGA supports rural generalist anaesthetists working within collaborative teams in geographically isolated settings. The goal is a graduate who can anaesthetise American Society of Anesthesiologists physical status class 1, 2 and stable 3 patients for elective surgery, provide obstetric anaesthesia and analgesia, anaesthetise paediatric patients and undertake advanced crisis care within their scope of practice. Crucially, they also recognise both limitations of their skills and local resources available when considering whether to provide care, defer, refer or transfer patients. DipRGA curriculum design commenced by adapting the ANZCA specialist training curriculum with consideration of the training approach of both the ACRRM and the RACGP, particularly the rural and remote context. Curriculum content is addressed in seven entrustable professional activities supported by workplace-based assessments and multisource feedback. Trainees are supervised by rural generalist anaesthetists and specialist anaesthetists, and complete flexible learning activities to accommodate geographical dispersion. Standardised summative assessments include an early test of knowledge and an examination, adapted from the ACRRM structured assessment using multiple patient scenarios.

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