Background: Uncertainty is pervasive throughout healthcare practice. Uncertainty tolerance (i.e. adaptively responding to perceived uncertainty) is considered to benefit practitioner wellbeing, encourage person-centred care, and support judicious healthcare resource utilisation. Accordingly, uncertainty tolerance development is increasingly referenced within training frameworks. Practical approaches to support healthcare learners' uncertainty tolerance development, however, are lacking.
Aims: Drawing on findings across the literature, and the authors' educational experiences, twelve tips for promoting healthcare learners' uncertainty tolerance were developed.
Results: Tips are divided into 1. Tips for Learners, 2. Tips for Educators and Supervisors, and 3. Tips for Healthcare Education Institutions and Systems. Each tip summarises relevant research findings, alongside applications to educational practice.
Conclusions: Approaches to developing uncertainty tolerance balance factors supporting learners through uncertain experiences, with introducing challenges for learners to further develop uncertainty tolerance. These tips can reassure healthcare education stakeholders that developing learner uncertainty tolerance, alongside core knowledge, is achievable.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/0142159X.2024.2307500 | DOI Listing |
Sci Total Environ
January 2025
Institute of Environmental Engineering, RWTH Aachen University, Mies-van-der-Rohe Strasse 1, 52066 Aachen, Germany.
In 2020, the European Union published ordinance EU 2020/741, establishing minimum requirements for water reuse in agriculture. The ordinance differentiates between several water quality classes. For the highest water quality class (Class A), the ordinance mandates analytical validation of the treatment performance of new water reuse treatment plants (WRTP) related to the removal of microbial indicators for viral, bacterial, and parasitic pathogens.
View Article and Find Full Text PDFMed Educ
January 2025
Heisenberg Chair for Medical Risk Literacy and Evidence-Based Decisions, Charité Universitätsmedizin Berlin, Berlin, Germany.
Background: In 1962, the idea emerged that medical students' tolerance of uncertainty could determine their specialty choice. While some studies supported this claim, others refuted it, often using independently developed instruments. We explored whether the reported link between specialty choice and uncertainty tolerance is more myth than evidence by employing established instruments to investigate whether specialty choice could be explained by variance in uncertainty tolerance.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.
Objectives: The COVID-19 pandemic gave rise to uncertainty concerning potential sequelae related to a severe acute respiratory syndrome coronavirus 2 infection. This landscape is currently unfolding with studies reporting sequelae on various domains (physical, cognitive, and psychosocial), although most studies focus on adults or only one domain. We sought to investigate concurrent sequelae on multiple domains 1 year after PICU admission for Multisystem Inflammatory Syndrome in Children (MIS-C).
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Engineering, Helwan University, Cairo, Egypt.
Frequency regulation in isolated microgrids is challenging due to system uncertainties and varying load demands. This study presents an optimal µ-synthesis robust control strategy that regulates microgrid frequency while enhancing system performance and stability-a proposed fixed-structure approach for selecting performance and robustness weights, informed by subsystem frequency analysis. The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions.
View Article and Find Full Text PDFSci Rep
January 2025
Radiological Techniques Department, College of Health and Medical Techniques, AL-Mustaqbal University, Hillah, Babil, 51001, Iraq.
This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse strategy (IGDT-RA). The hybrid framework integrates the strengths of UT for scenario generation and IGDT-RA (hybrid UT-IGDT-RA) for optimizing the system robustness and maximum uncertainty radius (MRU) of building energy demand and renewable resource generation. The deterministic model focuses on minimizing the cost of energy production over the project's lifespan (CEPLS) and considers a reliability constraint defined as the demand shortage probability (DSHP).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!