Title-blended supervision models for post-graduate rural generalist medical training in Australia: an interview study

Abstract

Background: Expanding rural training is a priority for growing the rural medical workforce, but this relies on building supervision capacity in small towns where workforce shortages are common. This study explored factors which support the use of blended supervision models (consisting of on- and offsite components) for postgraduate rural generalist medical training (broad scope of work) in small rural communities. Methods: Data were collected between June and August 2021 through semi-structured, in-depth interviews with medical training stakeholders experienced in blended supervision models for rural generalist training. Interviews were audio-recorded, transcribed verbatim and analysed using an inductive thematic analysis process. Results: Fifteen participant interviews provided almost 13 h of audio-recorded data. Four themes were developed: governance, setting, the right supervisor and the right supervisee. Blended supervision models may be effective if selectively applied including where the model is well-planned, the setting has local team supports and supervisor and supervisee characteristics are appropriate. Conclusions: Understanding factors involved in the application of blended supervision models can help with expanding rural generalist training places in distributed communities. Blended supervision models can be effective for rural generalist training if the model is planned, and the context is suitable.