ArticleBMC medical education2022
Title-blended supervision models for post-graduate rural generalist medical training in Australia: an interview study.
Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Retention of doctors in remote, rural and First Nations communities using distributed general practice education: a scalable solution.Frontiers in medicine · 2025Article
- Australian rural service learning student placements: a national survey.BMC medical education · 2024Article
- Characteristics of perceived effective telesupervision practices: A case study of supervisees and supervisors.PloS one · 2023Article
- A Novel Interprofessional Education and Supervision Student Placement Model: Student and Clinical Educator Perspectives and Experiences.International journal of environmental research and public health · 2022Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExpanding 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.
methodsData 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.
resultsFifteen 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.
conclusionsUnderstanding 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.
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Registered trials
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