• Emma Sellers, Sarah Craven-Staines, and Claire Vaughan.
• Department of Clinical and Health Psychology, Leeds Teaching Hospitals NHS Foundation Trust, Leeds, UK.
• J Eval Clin Pract. 2024 Oct 22.

ObjectivesThe study aimed to (1) determine if a variety of workplace and supervision factors predict clinical supervision effectiveness; and (2) establish if clinical supervision effectiveness predicts burnout, amongst a variety of mental health staff (medical, allied health, and nursing staff).DesignThe study adopted a multicentre cross-sectional online survey design.MethodsParticipants included 204 mental health staff (89 allied health staff, 81 nursing staff, and 34 medical staff). The Manchester Clinical Supervision Scale (MCSS-26) was used to measure clinical supervision effectiveness, and the Maslach Burnout Inventory (MBI-HSS) was used to measure burnout. Linear regression analyses and multiple regression analyses were conducted.ResultsThe main findings suggested that supervision frequency, supervision duration, choice of supervisor, workplace setting, and supervisee profession, were all significant predictors of clinical supervision effectiveness. Additionally, clinical supervision effectiveness was a significant negative predictor of burnout.ConclusionsWorkplace and supervision factors should be considered in supervision practice across professional groups. Policies need to promote effective clinical supervision practice.© 2024 The Author(s). Journal of Evaluation in Clinical Practice published by John Wiley & Sons Ltd.

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