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In this episode we talk to Professor Jane Gunn, chair of primary care research, Department of General Practice, Melbourne Medical School, University of Melbourne, Australia.
The paper is: Matching depression management to severity prognosis in primary care: results of the Target-D randomised controlled trial
Read the paper: https://doi.org/10.3399/BJGP.2020.0783
Depression is a leading contributor to the global burden of disease and a significant problem in primary care, where it is typically identified and managed. Stepped care approaches are recommended but difficult to implement in routine care, due in part to a lack of effective tools to guide GPs in matching intervention intensity to patient need. Therefore, a clinical prediction tool was developed, which was embedded into a person-centred e-health platform, that matches depression management options to symptom severity prognosis. This randomised controlled trial showed using this platform results in greater improvement in depressive symptoms at 3 months compared to usual care. This approach could be implemented in routine care to support more efficient and effective depression care without adding to GPs’ workload.
By The British Journal of General PracticeIn this episode we talk to Professor Jane Gunn, chair of primary care research, Department of General Practice, Melbourne Medical School, University of Melbourne, Australia.
The paper is: Matching depression management to severity prognosis in primary care: results of the Target-D randomised controlled trial
Read the paper: https://doi.org/10.3399/BJGP.2020.0783
Depression is a leading contributor to the global burden of disease and a significant problem in primary care, where it is typically identified and managed. Stepped care approaches are recommended but difficult to implement in routine care, due in part to a lack of effective tools to guide GPs in matching intervention intensity to patient need. Therefore, a clinical prediction tool was developed, which was embedded into a person-centred e-health platform, that matches depression management options to symptom severity prognosis. This randomised controlled trial showed using this platform results in greater improvement in depressive symptoms at 3 months compared to usual care. This approach could be implemented in routine care to support more efficient and effective depression care without adding to GPs’ workload.

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