View clinical trials related to Decision Making.
Filter by:This research was conducted to evaluate the impact of the Problem Solving and Decision Making Training program, which was developed to enhance the problem-solving and decision-making skills of nurse managers at the lower, middle, and upper levels, by the subordinates and superiors of nurse managers. To assess the problem-solving and decision-making skills of nurse managers as perceived by their subordinates, the Problem-Solving Inventory-Managerial Version (PSI-MV) and Decision-Making Styles Scale-Managerial Version (DMSS-MV) underwent adaptation, validity, and reliability studies. These studies aimed to enable the evaluation of nurse managers' problem-solving and decision-making abilities from the perspective of their subordinates.
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.
The aim is to investigate potential barriers to informed decision making in a breast cancer screening context. This is a necessary step prior to developing and investigating improved information or decision aids in a Danish breast cancer screening context.
The primary goal of this study is to assess real-world effectiveness and implementation of an evidence-based multi-component strategy to achieve equity in the allocation rate of advanced heart failure therapies, heart transplants and ventricular assist devices. This study proposes to implement evidence-based strategies that reduce bias, replace subjective evaluations with objective criteria, and improve group dynamics in a randomized cluster trial. This rigorously designed trial may inform national guidelines for advanced heart failure therapy allocation, and data are likely to be generalizable to other organ replacement treatments and advanced chronic disease decision-making processes.
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.
Imagine that a dermatologist spends the morning seeing patients who have been referred for suspicion of skin cancer. Many of them do, in fact, have skin lesions that require treatment. For this set of patients, disease 'prevalence' would be high. Suppose that the next task is to spend the afternoon giving annual screening exams to members of the general population. Here disease prevalence will be low. Would the morning's work influence decisions about patients in the afternoon? It is known from other contexts that recent history can influence current decisions and that target prevalence has an impact on decisions. In this study, decisions were decisions about skin lesions from individuals with varying degrees of expertise, using an online, medical imaging labelling app (DiagnosUs). This allowed examination of the effects of feedback history and prevalence in a single study. Blocks of trials could be of low or high prevalence, with or without feedback. Over 300,000 individual judgements were collected. (taken from Wolfe, J. M. (2022). How one block of trials influences the next: Persistent effects of disease prevalence and feedback on decisions about images of skin lesions in a large online study. . Cognitive Research: Principles and Implications (CRPI), 7, 10. doi: https://doi.org/10.1186/s41235-022-00362-0
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.