Nurses' perceptions of online continuing education

<p>Abstract</p> <p>Background</p> <p>There is increasing attention to online learning as a convenient way of getting professional training. The number and popularity of online nursing continuing education programs are increasing rapidly in many countries. Understanding these may contribute to designing these programs to maximize success. Also, knowing the perceptions and preferences in online learning aids development and orientation of online programs. The aims of this study are to show nurses' perceptions of online continuing education and to determine perceptions of various groups; area groups, working companies, frequency of computer usage and age.</p> <p>Methods</p> <p>The survey method was used in this quantitative study to reveal perception levels and relationship with related variables. Data were collected through an online instrument from a convenience sample of 1041 Registered Nurses (RNs) at an online bachelor's degree program. Descriptive and inferential analysis techniques were performed.</p> <p>Results</p> <p>Nurses generally have positive perceptions about online learning (<it>X </it>= 3.86; SD = 0.48). A significant difference was seen between nurses who used computers least and those with the highest computer usage [<it>F </it>(3, 1033) = 3.040; <it>P </it>< .05]. Neither nurses' ages nor lengths of working experience are significantly related to perceptions of online programs (<it>r </it>= -.013; <it>P </it>> .05 and <it>r </it>= -.036; <it>P </it>> .05, respectively). Nurses' perceptions are significantly different depending on the settings where they work [<it>F </it>(3,989) = 3.193; <it>P </it>< .05]. The difference between perceptions of nurses living in urban areas (<it>X </it>= 3.82; SD = .51) and those living in rural areas (<it>X </it>= 3.88; SD = .47) was not significant [<it>t </it>(994) = -1.570, <it>P </it>> .05].</p> <p>Conclusions</p> <p>We found that nurses regard online learning opportunities as suitable for their working conditions and needs. Nurses should be provided with continued training through online learning alternatives, regardless of age, working experience or area of residence.</p

More Than Smell - COVID-19 Is Associated With Severe Impairment of Smell,Taste, and Chemesthesis

Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments, such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, and generally lacked quantitative measurements. Here, we report the development, implementation, and initial results of a multilingual, international questionnaire to assess self-reported quantity and quality of perception in 3 distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, and 8 others, aged 19-79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste, and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change +/- 100) revealed a mean reduction of smell (-79.7 +/- 28.7, mean +/- standard deviation), taste (-69.0 +/- 32.6), and chemesthetic (-37.3 +/- 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell but also affects taste and chemesthesis.The multimodal impact of COVID-19 and the lack of perceived nasal obstruction suggest that severe acute respiratory syndrome coronavirus strain 2 (SARS-CoV-2) infection may disrupt sensory-neural mechanisms

25th Annual Computational Neuroscience Meeting: CNS-2016

Abstracts of the 25th Annual Computational Neuroscience Meeting: CNS-2016 Seogwipo City, Jeju-do, South Korea. 2–7 July 201