View clinical trials related to Decision Making.
Filter by:The VASIS project aims to assess the impact of perceptual, executive and emotional factors on decision-making in the context of pedestrian crossing in an industrial environment involving autonomous vehicle traffic (forklift).
The goal of this cross-over randomized controlled study is to evaluate the effects of medical rounds with parents. The main questions it aims to answer are: - How feasible the protocol of this study is to include parents in the medical round? - Does the Family Round promote the quality of family centered care in the NICU perceived by parents and healthcare staff? - Does the Family Round promote parent-infant bonding? - Does the Family Round reduce parents' anxiety? - Does the Family Round increase parents' satisfaction? - Does the Family Round improve staff's communication skills to integrate parents in the discussion of medical rounds? Participants will participate in the Family Round for two weeks, which is organized by healthcare staff following a protocol aiming to integrate parents into the discussion. They will be compared to the two-week period without the Family Round.
Different renal replacement therapy methods will cause significant impacts on the physical, mental, and social for patients with end-stage renal disease. Application shared decision-making should be able to effectively assist patients in choosing suitable renal replacement therapy. Currently, most of the patient decision aid of renal replacement therapy are written health education leaflets, which have problems such as too many words, more difficult content, and inconvenience. In shared decision-making, even though different treatment options are communicated to patients, there is still a gap between "understanding" and "real experience", it will be creating uncertainty of decision, and emphasizing true situational learning strategies should be a viable auxiliary method. Therefore, this study aims to develop a web-based patient decision aid of renal replacement therapy and integrates situational learning strategies into it. First, investigators have conducted a qualitative study to explore the related experience of patients with end-stage renal disease the decision-making needs in renal replacement therapy choice, and the experience and barrier of reading paper patient decision aid. Next, based on the results of the pilot study, the modified Delphi method will be used to collect the opinions of experts, and the situational learning theory will be integrated into the patient decision aid to develop the web-based situation renal replacement therapies patient decision aid. After completion, investigators will apply quasi-experimental, a repeated measurement that will be adopted to analyze the effectiveness of web-based patient decision aid of renal replacement therapy in shared decision-making in patients with end-stage renal disease.
Except for exaggerated situations in which aspiration risk seems obvious (or absent), the choice of a rapid sequence induction protocol for general anesthesia is often made under uncertainty, according to the individual assessment of the balance between the aspiration risk on one hand and the anaphylaxis risk induced by short-acting curares on the other hand. The impact of anxiety and impulsivity on the choice of induction protocols under uncertainty has never been studied before. In order to investigate this issue, an online anonymous survey has been designed and will be sent to the anesthesiologists of the Bourgogne Franche-Comté and Grand Est regions in France. The primary objective of this study is to assess the impact of trait-anxiety using the STAI-Y2 form on the decision-making process of anesthesiologists during the choice of an induction protocol for patients at risk of aspiration. The secondary objectives are to characterize decision-making profiles, to measure the implicit dimension of anxiety using an Implicit association test, to study the impact of impulsivity on decision-making processes under uncertainty using the short version of UPPS-P scale and to study the role of socio-demographic data and professional history in these decisions.
The study is one part of a "bundle" of experiments that constitute Project Three of a National Eye Institute grant. Project Three includes a series of experiments that investigate how changing the input from a simulated AI can affect the decisions made by human observers in a two-alternative forced choice task (like the decision to recall a woman for further examination in mammography). HAICT 7, the experiment described here, investigates how changing prevalence affects human performance when AI is used as a Second Reader.
The purpose of this study is to investigate neurocognitive mechanisms underlying response to intervention aimed at enhancing, and remediating weaknesses in, numerical skills in children, including those with mathematical learning disabilities (MLD).
In an online randomized trial of Safety in Dementia with national recruitment and longitudinal follow-up, we will recruit informal caregivers of community-dwelling adults with dementia who have firearm access.
The purpose of the research is to determine how the language used when discussing preferences about cardiopulmonary resuscitation (CPR) affects decisions regarding this (code status)
The aim of the present project is to elucidate the neuropharmacological mechanisms underlying value (choice preference) and attention (choice randomness) processing in humans. More specifically, the investigators test whether dopaminergic, noradrenergic and cholinergic interventions affect neural and behavioral processing of valuation and attention during decision-making. The investigators do this by up-regulating dopaminergic, noradrenergic or cholinergic neurotransmission pharmacologically through administration of methylphenidate, reboxetine, or nicotine. We test the hypothesis that methylphenidate, reboxetine, or nicotine reduce choice randomness and that this effect is underpinned by an effect on attention and/or value processing.
Developing theoretical, quantitative models of the basic cognitive mechanisms underlying human social decision-making, and understanding the influence of neuromodulators such as dopamine on these mechanisms, has important ramifications for both healthy and patient populations. In this proposal the investigators combine quantitative social measures, computational models, neuroimaging, and a pharmacological intervention to define the mechanisms of social decision-making.