Many patients attending general practice do not have an obvious diagnosis at presentation. Skills to deal with uncertainty are particularly important in general practice as undifferentiated and unorganised problems are a common challenge for general practitioners (GPs). This paper describes the management of uncertainty as an essential skill which should be included in educational programmes for both trainee and established GPs. Philosophers, psychologists and sociologists use different approaches to the conceptualisation of managing uncertainty. The literature on dealing with uncertainty focuses largely on identifying relevant evidence and decision making. Existing models of the consultation should be improved in order to understand consultations involving uncertainty. An alternative approach focusing on shared decision making and understanding the consultation from the patient's perspective is suggested. A good doctor-patient relationship is vital, creating trust and mutual respect, developed over time with good communication skills. Evidence-based medicine should be used, including discussion of probabilities where available. Trainers need to be aware of their own use of heuristics as they act as role models for trainees. Expression of feelings by trainees should be encouraged and acknowledged by trainers as a useful tool in dealing with uncertainty. Skills to deal with uncertainty should be regarded as quality improvement tools and included in educational programmes involving both trainee and established GPs.
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PLoS One
January 2025
Department of Care Ethics, University of Humanistic Studies, Utrecht, The Netherlands.
Background: People with the chronic disease Multiple Sclerosis are subjected to different degrees of profound uncertainty. Uncertainty has been linked to adverse psychological effects such as feelings of heightened vulnerability, avoidance of decision-making, fear, worry, anxiety disorders, and even depression. Research into Multiple Sclerosis has a predominant focus on the scientific, practical, and psychosocial issues of uncertainty.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mathematics and Statistics, Shaoguan University, Shaoguan, 512005, China.
Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. In this work, we further investigate the potential of Variational Autoencoders (VAEs) in addressing the uncertainty associated with missing data via a multiple importance sampling strategy. We propose a Missing data Multiple Importance Sampling Variational Auto-Encoder (MMISVAE) method to effectively model incomplete data.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium.
Irrigation rapidly expanded during the 20 century, affecting climate via water, energy, and biogeochemical changes. Previous assessments of these effects predominantly relied on a single Earth System Model, and therefore suffered from structural model uncertainties. Here we quantify the impacts of historical irrigation expansion on climate by analysing simulation results from six Earth system models participating in the Irrigation Model Intercomparison Project (IRRMIP).
View Article and Find Full Text PDFJ Pers Med
December 2024
Department of Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University, Jerusalem 9112102, Israel.
Different disciplines are developing various methods for determining and dealing with uncertainties in complex systems. The constrained disorder principle (CDP) accounts for the randomness, variability, and uncertainty that characterize biological systems and are essential for their proper function. Per the CDP, intrinsic unpredictability is mandatory for the dynamicity of biological systems under continuously changing internal and external perturbations.
View Article and Find Full Text PDFNed Tijdschr Geneeskd
January 2025
Radboudumc, Nijmegen. Afd. Medische Microbiologie en Radboudumc Community Infectieziekten.
This article is a reflection on the covid-19 pandemic and the policy on medical and non-medical e.g. (lock down) measures, and on how we can anticipate earlier on for example effects on education and wellbeing of young people.
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