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How can systems engineering inform the methods of programme evaluation in health professions education?
Author(s) -
Rojas David,
Grierson Lawrence,
Mylopoulos Maria,
Trbovich Patricia,
Bagli Darius,
Brydges Ryan
Publication year - 2018
Publication title -
medical education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 138
eISSN - 1365-2923
pISSN - 0308-0110
DOI - 10.1111/medu.13460
Subject(s) - computer science , value (mathematics) , reductionism , management science , engineering ethics , knowledge management , engineering , epistemology , philosophy , machine learning
Context We evaluate programmes in health professions education ( HPE ) to determine their effectiveness and value. Programme evaluation has evolved from use of reductionist frameworks to those addressing the complex interactions between programme factors. Researchers in HPE have recently suggested a ‘holistic programme evaluation’ aiming to better describe and understand the implications of ‘emergent processes and outcomes’. Framework We propose a programme evaluation framework informed by principles and tools from systems engineering. Systems engineers conceptualise complexity and emergent elements in unique ways that may complement and extend contemporary programme evaluations in HPE . We demonstrate how the abstract decomposition space ( ADS ), an engineering knowledge elicitation tool, provides the foundation for a systems engineering informed programme evaluation designed to capture both planned and emergent programme elements. Methods We translate the ADS tool to use education‐oriented language, and describe how evaluators can use it to create a programme‐specific ADS through iterative refinement. We provide a conceptualisation of emergent elements and an equation that evaluators can use to identify the emergent elements in their programme. Using our framework, evaluators can analyse programmes not as isolated units with planned processes and planned outcomes, but as unfolding, complex interactive systems that will exhibit emergent processes and emergent outcomes. Subsequent analysis of these emergent elements will inform the evaluator as they seek to optimise and improve the programme. Conclusion Our proposed systems engineering informed programme evaluation framework provides principles and tools for analysing the implications of planned and emergent elements, as well as their potential interactions. We acknowledge that our framework is preliminary and will require application and constant refinement. We suggest that our framework will also advance our understanding of the construct of ‘emergence’ in HPE research.