Serious Games and Gamification: Health Care Workers' Experience, Attitudes, and Knowledge.

OBJECTIVE: With the rapid advancement of digital technology due to COVID-19, the health care field is embracing the use of digital technologies for learning, which presents an opportunity for teaching methods such as serious games to be developed and improved. Technology offers more options for these educational approaches. The goal of this study was to assess health care workers' experiences, attitudes, and knowledge regarding serious games in training. METHODS: The convenience sample consisted of 223 participants from the specialties of internal medicine and psychiatry who responded to questions regarding sociodemographic data, experience, attitudes, and knowledge regarding serious games. This study used an ordinal regression model to analyze the relationship between knowledge, attitudes, and experiences and the idea or wish to implement serious games. RESULTS: The majority of healthcare workers were not familiar with serious games or gamification. The results show gender and age differences regarding familiarity and willingness to use serious games. With increasing age, the respondents preferred conventional and traditional learning methods to playful teaching elements; younger generations were significantly more motivated than older generations when envisioning using elements of serious games in the future. CONCLUSIONS: The COVID-19 pandemic has encouraged the use of new technologies and digitalization. This study describes positive attitudes toward serious games, mainly in younger people working in health care. Serious games present an opportunity to develop new approaches for postgraduate medical teachings and continuing medical education.

A Novel Form of Compensation in the Tg2576 Amyloid Mouse Model of Alzheimer's Disease.

One century after its first description, pathology of Alzheimer's disease (AD) is still poorly understood. Amyloid-related dendritic atrophy and membrane alterations of susceptible brain neurons in AD, and in animal models of AD are widely recognized. However, little effort has been made to study the potential effects of combined morphological and membrane alterations on signal transfer and synaptic integration in neurons that build up affected neural networks in AD. In this study spatial reconstructions and electrophysiological measurements of layer II/III pyramidal neurons of the somatosensory cortex from wild-type (WT) and transgenic (TG) human amyloid precursor protein (hAPP) overexpressing Tg2576 mice were used to build faithful segmental cable models of these neurons. Local synaptic activities were simulated in various points of the dendritic arbors and properties of subthreshold dendritic impulse propagation and predictors of synaptic input pattern recognition ability were quantified and compared in modeled WT and TG neurons. Despite the widespread dendritic degeneration and membrane alterations in mutant mouse neurons, surprisingly little, or no change was detected in steady-state and 50 Hz sinusoidal voltage transfers, current transfers, and local and propagation delays of PSPs traveling along dendrites of TG neurons. Synaptic input pattern recognition ability was also predicted to be unaltered in TG neurons in two different soma-dendritic membrane models investigated. Our simulations predict the way how subthreshold dendritic signaling and pattern recognition are preserved in TG neurons: amyloid-related membrane alterations compensate for the pathological effects that dendritic atrophy has on subthreshold dendritic signal transfer and integration in layer II/III somatosensory neurons of this hAPP mouse model for AD. Since neither propagation of single PSPs nor integration of multiple PSPs (pattern recognition) changes in TG neurons, we conclude that AD-related neuronal hyperexcitability cannot be accounted for by altered subthreshold dendritic signaling in these neurons but hyperexcitability is related to changes in active membrane properties and network connectivity.