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Optimising professional support for doctors who experience work performance issues: a realist evaluation.

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  • 1Centre for Applied Medical Education and Healthcare Workforce Research (CAMERa), Faculty of Health, University of Plymouth, Plymouth, UK nicola.brennan@plymouth.ac.uk.

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Summary
This summary is machine-generated.

Effective professional support for doctors relies on a supportive workplace culture, trust, and psychological safety. Empowering doctors to grow and reframe challenges enhances performance and healthcare quality.

Keywords:
Evaluation methodologyMedical educationQualitative research

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Area of Science:

  • Healthcare Management
  • Medical Education
  • Organizational Psychology

Background:

  • Optimal doctor performance is crucial for safe, high-quality healthcare delivery.
  • A significant percentage of doctors face challenges impacting their work performance.
  • Professional support services for doctors vary in quality and practice across different organizations.

Purpose of the Study:

  • To understand the mechanisms, contexts, and beneficiaries of effective professional support for doctors.
  • To develop a practical guide for healthcare organizations to optimize professional support services.

Main Methods:

  • A realist evaluation adhering to RAMESES II standards was conducted.
  • Data were gathered through 45 interviews with support staff and doctors across seven English sites.
  • A guide was developed through six workshops involving participants and a patient/public involvement group.

Main Results:

  • Six core principles of effective professional support were identified, based on 47 context-mechanism-outcome configurations.
  • Key factors include workplace culture, trust, psychological safety, self-awareness, positive framing, and empowerment.
  • Supportive cultures that normalize help-seeking and model vulnerability enhance positive outcomes.

Conclusions:

  • The study produced a guide offering step-by-step advice for optimizing professional support delivery.
  • The realist approach's focus on principles and causal explanations suggests findings are transferable to diverse settings and countries.