Keypad mobile phones are associated with a significant increased risk of microbial contamination compared to touch screen phones

The use of mobile phones in the clinical environment by healthcare workers has become widespread. Despite evidence that these devices can harbour pathogenic micro-organisms there is little guidance on how to reduce contamination. Recently touchscreen phones with a single flat surface have been introduced. We hypothesise that bacterial contamination of phones used in hospitals will be lower on touchscreen devices compared to keypad devices. Sixty seven mobile phones belonging to health care workers were sampled. The median colony count for touchscreen phones and keypad devices was 0·09 colony forming units (cfu)/cm2 (interquartile range (IQR) 0.05–0·14) and 0·77 cfu/cm2 (IQR range 0·45–3.52) respectively. Colony counts were significantly higher on the keypad phones (Fisher’s exact test p<0.001). Multivariate analysis showed the type of phone (keypad vs. touch screen) was associated with increased colony counts (F-statistic 14.13: p<0.001). Overall, nine (13%) phones grew either meticillin resistant Staphylococcus aureus or vancomycin resistant enterococci. Eight (24%) keypad phones were contaminated with these organisms compared with one touch screen phone (3%). Our data indicate that touchscreen mobile phones are less contaminated than their keypad counterparts, and they are less likely to harbour pathogenic bacteria in the clinical setting

Improving Information Literacy Through Embedding

How do you reach and assist students who are halfway around the world? How can we ensure they are receiving library training that increases their information literacy skills? Join us for this presentation and conversation about how one university used embedding to reach the “unreachable,” and then expanded to reach online domestic students, and eventually those on the home campus. What began as a project between two librarians on five online courses has now grown to include additional librarians and tripled the number of classes over a few months. We will discuss the reasoning behind embedding in the Canvas Learning Management System, the steps we took to reach out to students, what worked well, what issues or limitations we faced, lessons learned, and the overall evolution of our embedding. To conclude our presentation, we will allot time to converse with the attendees and share ideas. We welcome your comments and opinions

Working at the interface in Aboriginal and Torres Strait Islander health: focussing on the individual health professional and their organisation as a means to address health equity

Background: Aboriginal and Torres Strait Islander people experience inequity in health outcomes in Australia. Health care interactions are an important starting place to seek to address this inequity. The majority of health professionals in Australia do not identify as Aboriginal and/or Torres Strait Islander people and the health care interaction therefore becomes an example of working in an intercultural space (or interface). It is therefore critical to consider how health professionals may maximise the positive impact within the health care interaction by skilfully working at the interface. Methods: Thirty-five health professionals working in South Australia were interviewed about their experiences working with Aboriginal people. Recruitment was through purposive sampling. The research was guided by the National Health and Medical Research Council Values and Ethics for undertaking research with Aboriginal communities. Critical social research was used to analyse data. Results: Interviews revealed two main types of factors influencing the experience of non-Aboriginal health professionals working with Aboriginal people at the interface: the organisation and the individual. Within these two factors, a number of sub-factors were found to be important including organisational culture, organisational support, accessibility of health services and responding to expectations of the wider health system (organisation) and personal ideology and awareness of colonisation (individual). Conclusions: A health professional’s practice at the interface cannot be considered in isolation from individual and organisational contexts. It is critical to consider how the organisational and individual factors identified in this research will be addressed in health professional training and practice, in order to maximise the ability of health professionals to work with Aboriginal and Torres Strait Islander people and therefore contribute to addressing health equity.Annabelle M. Wilson, Janet Kelly, Anthea Magarey, Michelle Jones and Tamara Mackea

Multimodal Approach for Assessing Neuromotor Coordination in Schizophrenia Using Convolutional Neural Networks

This study investigates the speech articulatory coordination in schizophrenia subjects exhibiting strong positive symptoms (e.g. hallucinations and delusions), using two distinct channel-delay correlation methods. We show that the schizophrenic subjects with strong positive symptoms and who are markedly ill pose complex articulatory coordination pattern in facial and speech gestures than what is observed in healthy subjects. This distinction in speech coordination pattern is used to train a multimodal convolutional neural network (CNN) which uses video and audio data during speech to distinguish schizophrenic patients with strong positive symptoms from healthy subjects. We also show that the vocal tract variables (TVs) which correspond to place of articulation and glottal source outperform the Mel-frequency Cepstral Coefficients (MFCCs) when fused with Facial Action Units (FAUs) in the proposed multimodal network. For the clinical dataset we collected, our best performing multimodal network improves the mean F1 score for detecting schizophrenia by around 18% with respect to the full vocal tract coordination (FVTC) baseline method implemented with fusing FAUs and MFCCs.Comment: 5 pages. arXiv admin note: text overlap with arXiv:2102.0705

Learning Robust Features for Gait Recognition by Maximum Margin Criterion

Extended abstract. The full research paper "Learning Robust Features for Gait Recognition by Maximum Margin Criterion" has been accepted for publication at the 23rd IEEE/IAPR International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016

In-situ measurements of total reactive nitrogen, total water vapor, and aerosols in polar stratospheric clouds in the Antarctic stratosphere

Measurements of total reactive nitrogen, NOy, total water vapor, and aerosols were made as part of the Airborne Antarctic Ozone Experiment. The measurements were made using instruments located onboard the NASA ER-2 aircrafts which conducted twelve flights over the Antarctic continent reaching altitudes of 18 km at 72 S latitude. Each instrument utilized an ambient air sample and provided a measurement up to 1 Hz or every 200 m of flight path. The data presented focus on the flights of Aug. 17th and 18th during which Polar Stratospheric Clouds (PSCs) were encountered containing concentrations of 0.5 to 1.0 micron diameter aerosols greater than 1 cm/cu. The temperature pressure during these events ranged as low as 184 K near 75 mb pressure, with water values near 3.5 ppm by volume (ppmv). With the exception of two short periods, the PSC activity was observed at temperatures above the frost point of water over ice. The data gathered during these flights are analyzed and presented

Validation of a Stochastic Discrete Event Model Predicting Virus Concentration on Nurse Hands

Understanding healthcare viral disease transmission and the effect of infection control interventions will inform current and future infection control protocols. In this study, a model was developed to predict virus concentration on nurses' hands using data from a bacteriophage tracer study conducted in Tucson, Arizona, in an urgent care facility. Surfaces were swabbed 2 hours, 3.5 hours, and 6 hours postseeding to measure virus spread over time. To estimate the full viral load that would have been present on hands without sampling, virus concentrations were summed across time points for 3.5- and 6-hour measurements. A stochastic discrete event model was developed to predict virus concentrations on nurses' hands, given a distribution of virus concentrations on surfaces and expected frequencies of hand-to-surface and orifice contacts and handwashing. Box plots and statistical hypothesis testing were used to compare the model-predicted and experimentally measured virus concentrations on nurses' hands. The model was validated with the experimental bacteriophage tracer data because the distribution for model-predicted virus concentrations on hands captured all observed value ranges, and interquartile ranges for model and experimental values overlapped for all comparison time points. Wilcoxon rank sum tests showed no significant differences in distributions of model-predicted and experimentally measured virus concentrations on hands. However, limitations in the tracer study indicate that more data are needed to instill more confidence in this validation. Next model development steps include addressing viral concentrations that would be found naturally in healthcare environments and measuring the risk reductions predicted for various infection control interventions.GOJO Industries, Inc.; Western Alliance to Expand Student Opportunities (WAESO) Louis Stokes Alliance for Minority Participation (LSAMP) Bridge to Doctorate (BD) National Science Foundation (NSF) [1608928]12 month embargo; published online: 13 February 2019This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]