Postgraduate GPs’ experience of attending medical uncertainty training during the standardised training of residents: a qualitative process evaluation
摘要
Uncertainty is a pervasive aspect of primary healthcare, significantly impacting clinical decision-making and patient outcomes. Medical Uncertainty Training (MUT) courses aim to equip healthcare providers with the skills needed to manage this uncertainty effectively.
ObjectiveTo explore post-graduate General Practitioners’ (GPs) experiences and perspectives on attending MUT courses during standardized residency training in China, focusing on the potential mechanism of such courses in handling uncertainty and identified areas for improvement.
MethodsA qualitative study was conducted using semi-structured interviews with postgraduate GPs who attended the MUT course. Participants were selected through purposive sampling, and recruitment continued until data saturation was reached. Interviews were conducted between January and March 2024, transcribed verbatim, and analyzed thematically using the Donabedian structure-process-outcome framework. NVivo 14 software was used to support data coding and theme development.
ResultsThree principal themes emerged from the process evaluation interviews, categorized according to the Donabedian structure-process-outcome framework as teaching structure, teaching process, and teaching outcome. These themes were further subdivided into specific sub-themes including necessity of the course, comprehensive curriculum design, flexibility and accessibility, continuous feedback and reflection, cognitive, emotional, and behavioral transformation, Real-World application challenges.
ConclusionThe process evaluation provided deeper insight into GPs’ experiences with the MUT course. Rather than merely increasing tolerance for uncertainty, participants emphasized the development of practical competence in uncertain clinical scenarios. By integrating cognitive, emotional, and behavioral elements, the training enhanced their confidence and skills in managing complex cases. Future research should explore the generalizability and long-term impact of these outcomes across diverse clinical contexts.