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Models of remote professional supervision for psychologists in rural and remote locations: A systematic review
Sharon M Varela1, Catherine Hays1, Sabina Knight1
1Centre for Rural and Remote Health, James Cook University, Mount Isa, QLD, Australia.
Introduction:
Psychology workforce shortages in geographically rural or remote contexts have highlighted the need to understand the supervisory experiences of psychologists practising in these locations, and the models of supervision employed to support their practice and improve client safety.
Objective:
To review the models of remote professional supervision and the supervisory experiences of psychologists practising in rural and remote locations.
Design:
Using the Joanna Briggs Institute methodology for mixed-methods systematic review, 8 health and education databases were searched using keyword and subject heading searches.
Findings:
The initial search identified 413 studies. A full-text review identified 4 papers that met the inclusion criteria and were subjected to a methodological appraisal by 2 reviewers. Three studies included qualitative data, with 2 using transcribed interviews. Two studies reported quantitative data, with only one study including a statistical analysis of the outcomes.
Discussion:
The results for the efficacy of the current models of remote supervision being used within the allied health and psychology professions are limited, with methodological limitations cautioning generalisability of results. The experiences of psychologists engaged in remote supervision do not appear to have changed over the past decade despite technological advances.
Conclusions:
Quality professional supervision is critical for the sustainability of the psychology workforce in rural and remote locations, reducing professional isolation, and for improved patient outcomes. This review identified a need for improved evidence for remote supervision models for psychologists working in geographically rural and remote locations. Lessons can be learned from other health professions' models of remote supervision.
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