Abstract

BackgroundPostgraduate medical education and training (PGMET) is a complex social process which happens predominantly during the delivery of patient care. The clinical learning environment (CLE), the context for PGMET, shapes the development of the doctors who learn and work within it, ultimately impacting the quality and safety of patient care. Clinical workplaces are complex, dynamic systems in which learning emerges from non-linear interactions within a network of related factors and activities. Those tasked with the design and delivery of postgraduate medical education and training need to understand the relationship between the processes of medical workplace learning and these contextual elements in order to optimise conditions for learning. We propose to conduct a realist synthesis of the literature to address the overarching questions; how, why and in what circumstances do doctors learn in clinical environments? This review is part of a funded projected with the overall aim of producing guidelines and recommendations for the design of high quality clinical learning environments for postgraduate medical education and training.MethodsWe have chosen realist synthesis as a methodology because of its suitability for researching complexity and producing answers useful to policymakers and practitioners. This realist synthesis will follow the steps and procedures outlined by Wong et al. in the RAMESES Publication Standards for Realist Synthesis and the Realist Synthesis RAMESES Training Materials. The core research team is a multi-disciplinary group of researchers, clinicians and health professions educators. The wider research group includes experts in organisational behaviour and human resources management as well as the key stakeholders; doctors in training, patient representatives and providers of PGMET.DiscussionThis study will draw from the published literature and programme, and substantive, theories of workplace learning, to describe context, mechanism and outcome configurations for PGMET. This information will be useful to policymakers and practitioners in PGMET, who will be able to apply our findings within their own contexts. Improving the quality of clinical learning environments can improve the performance, humanism and wellbeing of learners and improve the quality and safety of patient care.Systematic review registrationThe review is not registered with the PROSPERO International Prospective Register of Systematic Reviews as the review objectives relate solely to education outcomes.

Highlights

  • Postgraduate medical education and training (PGMET) is a complex social process which happens predominantly during the delivery of patient care

  • There is evidence that learners and learning are shaped by clinical learning environments; their performance [3,4,5,6,7], humanism [8, 9] and psychological health [10,11,12,13] are supported in high quality environments

  • Our overarching aim is to produce guidelines and recommendations for the design of high quality clinical learning environments for postgraduate medical education and training. As part of this project, we propose to conduct a realist synthesis of the literature to explore the overarching questions; how, why and in what circumstances do doctors learn in clinical environments? Realist review will build and refine a theory of postgraduate medical education and training to address these questions

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Summary

Introduction

Postgraduate medical education and training (PGMET) is a complex social process which happens predominantly during the delivery of patient care. The clinical learning environment (CLE), the context for PGMET, shapes the development of the doctors who learn and work within it, impacting the quality and safety of patient care. Dynamic systems in which learning emerges from non-linear interactions within a network of related factors and activities Those tasked with the design and delivery of postgraduate medical education and training need to understand the relationship between the processes of medical workplace learning and these contextual elements in order to optimise conditions for learning. These are important drivers to understand how and why doctors’ learning is supported in clinical environments

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