This paper considers the problem in aggregate data meta-analysis of studies reporting multiple competing binary outcomes and of studies using different summary formats for those outcomes. For example, some may report numbers of patients with at least one of each outcome while others may report the total number of such outcomes. We develop a shared…

There are many examples of hybrid simulation models in healthcare education which are designed to simulate specific scenarios. However, there appears to be a need for a cost effective and configurable hybrid simulation platform which can be used by educators of various healthcare disciplines to simulate different scenarios. The purpose of this…

Background: Individual patient data (IPD) meta-analysis allows for the exploration of heterogeneity and can identify subgroups that most benefit from an intervention (or exposure), much more successfully than meta-analysis of aggregate data. One-stage or two-stage IPD meta-analysis is possible, with the former using mixed-effects regression models…

Graduate nurses are being employed to provide care in high acuity care areas, and this becomes a problem of significance as the literature suggests that graduate nurse's experience a deficit in integrating theoretical concepts in the clinical environment, described as the theory-practice gap; which can result in a risk to patient safety and the…

The use of individual patient data (IPD) in network meta-analysis (NMA) is becoming increasingly popular. However, as most studies do not report IPD, most NMAs are performed using aggregate data for at least some, if not all, of the studies. We investigate the benefits of including varying proportions of IPD studies in an NMA. Several models have…

Thousands of children are diagnosed with hearing loss every year in the United States (U.S.) and worldwide. The advanced technology and the growing body of research support the early identification, diagnosis, and intervention of these children, so training audiology students and other healthcare students (e.g., nursing students) is important.…

The COVID-19 pandemic has led to an unprecedented shift in how health science education is delivered (Sandars et al., 2020). With face-to-face learning, such as lab and classroom interactions, largely unavailable during the pandemic, institutions have been required to quickly shift the learning environment to a fully virtual format. While…

This study aims to explore the factors in a patient's rehabilitation achievement after a total knee replacement (TKR) patient exercises, using a PCA-ANFIS emotion model-based game rehabilitation system, which combines virtual reality (VR) and motion capture technology. The researchers combine a principal component analysis (PCA) and an adaptive…

Simulation games are games for learning based on a reference in the real world. We propose a model for authenticity in this context as a result of a compromise among learning, playing and realism. In the health game used to apply this model, students interact with characters in the game through phone messages, mail messages, SMS and video.…

School leaders make countless decisions but do not receive adequate preparation for communicating their decisions to parents, students, and teachers. Building on the need to prepare school leaders for a variety of complex professional situations, this article introduces the medical education pedagogy of standardized patients to the field of school…

Most existing models of dopamine and learning in Parkinson disease (PD) focus on simulating the role of basal ganglia dopamine in reinforcement learning. Much data argue, however, for a critical role for prefrontal cortex (PFC) dopamine in stimulus selection in attentional learning. Here, we present a new computational model that simulates…

Although screening, brief intervention, and referral to treatment (SBIRT) has been a popular model to address potential substance abuse issues in primary care, there is a need for innovative approaches for training providers and staff on SBIRT protocols. An interdisciplinary approach to SBIRT training, named ICARE, was implemented at 3 different…

The connectionist triangle model of reading aloud proposes that semantic activation of phonology is particularly important for correct pronunciation of low-frequency exception words. Our consideration of this issue (Woollams, Lambon Ralph, Plaut, & Patterson, 2007) (see record 2007-05396-004) reported computational simulations demonstrating that…

This dissertation proposes and tests a theory explaining how people make decisions to achieve a goal in a specific task environment. The theory is represented as a computational model and implemented as a computer program. The task studied was primary care physicians treating patients with type 2 diabetes. Some physicians succeed in achieving…

The logistic person response function (PRF) models the probability of a correct response as a function of the item locations. Reise (2000) proposed to use the slope parameter of the logistic PRF as a person-fit measure. He reformulated the logistic PRF model as a multilevel logistic regression model and estimated the PRF parameters from this…