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just in time training

Claire Humphries, Suganthi Jaganathan, Jeemon Panniyammakal, Sanjeev Singh, Shifalika Goenka, Prabhakaran Dorairaj, Paramjit Gill, Sheila Greenfield, Richard Lilford, Semira Manaseki-Holland
OBJECTIVES: Research concentrating on continuity of care for chronic, non-communicable disease (NCD) patients in resource-constrained settings is currently limited and focusses on inpatients. Outpatient care requires attention as this is where NCD patients often seek treatment and optimal handover of information is essential. We investigated handover, healthcare communication and barriers to continuity of care for chronic NCD outpatients in India. We also explored potential interventions for improving storage and exchange of healthcare information...
2018: PloS One
Hadi Hadizadeh, Ahmad Reza Heravi, Ivan V Bajic, Parastoo Karami
Just noticeable difference (JND) models are widely used for perceptual redundancy estimation in images and videos. A common method for measuring the accuracy of a JND model is to inject random noise in an image based on the JND model, and check whether the JND-noise-contaminated image is perceptually distinguishable from the original image or not. Also, when comparing the accuracy of two different JND models, the model that produces the JND-noise-contaminated image with better quality at the same level of noise energy is the better model...
December 3, 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Thomaz Bittencourt Couto, Joyce Kelly Silva Barreto, Francielly Cesco Marcon, Ana Carolina Cintra Nunes Mafra, Tarso Augusto Duenhas Accorsi
Background: During in situ simulation, interprofessional care teams practice in an area where clinical care occurs. This study aimed to detect latent safety threats (LST) in a training program, which combined in situ simulation scenarios with just-in-time and just-in-place self-directed task training in an emergency department. We hypothesized this simulation-based training in actual care areas allows the detection of at least one LST per simulation scenario. Methods: This prospective observational study (April 2015-March 2016) involved 135 physicians, nurses, and nurse technicians...
2018: Advances in Simulation
Shao-Chun Chen, Hung-Wen Chiu, Chun-Chen Chen, Lin-Chung Woung, Chung-Ming Lo
PURPOSE: Artificial neural networks (ANNs) are one type of artificial intelligence. Here, we use an ANN-based machine learning algorithm to automatically predict visual outcomes after ranibizumab treatment in diabetic macular edema. METHODS: Patient data were used to optimize ANNs for regression calculation. The target was established as the final visual acuity at 52, 78, or 104 weeks. The input baseline variables were sex, age, diabetes type or condition, systemic diseases, eye status and treatment time tables...
November 24, 2018: Journal of Clinical Medicine
Lloyd D Balbuena
With the high cost of the research assessment exercises in the UK, many have called for simpler and less time-consuming alternatives. In this work, we gathered publicly available REF data, combined them with library-subscribed data, and used machine learning to examine whether the overall result of the Research Excellence Framework 2014 could be replicated. A Bayesian additive regression tree model predicting university grade point average (GPA) from an initial set of 18 candidate explanatory variables was developed...
2018: PloS One
Emma James, M Gareth Gaskell, Lisa M Henderson
Prior linguistic knowledge is proposed to support the acquisition and consolidation of new words. Adults typically have larger vocabularies to support word learning than children, but the developing brain shows enhanced neural processes that are associated with offline memory consolidation. This study investigated contributions of prior knowledge to initial word acquisition and consolidation at different points in development, by teaching children and adults novel words (e.g., ballow) that varied in the number of English word-form "neighbours" (e...
November 24, 2018: Developmental Science
Dustin A Bruening, Riley E Reynolds, Chris W Adair, Peter Zapalo, Sarah T Ridge
Advancements in wearable technology have facilitated performance monitoring in a number of sports. Figure skating may also benefit from this technology, but the inherent movements present some unique challenges. The purpose of this study was to evaluate the feasibility of using an inertial measurement unit (IMU) to monitor three aspects of figure skating jumping performance: jump count, jump height, and rotation speed. Seven competitive figure skaters, outfitted with a waist-mounted IMU, performed a total of 59 isolated multi-revolution jumps and their competition routines, which consisted of 41 multi-revolution jumps along with spins, footwork, and other skills...
2018: PloS One
Pontus B Persson, Anja Bondke Persson
Clinical medicine can, at countless times, be ranked high among the most rewarding careers. However, in a profession where both internal and external quality standards are outstandingly high, noticing how you start making mistakes and, at the same time, being unable to take appropriate measures to prevent that, holds potential for personal despair (1). Nevertheless, it is the reality for the majority of shift workers, i.e. approximately 20% of the workforce in developed economies, among them numerous healthcare providers and first responders...
November 20, 2018: Acta Physiologica
Marco Altini, Oliver Amft
In this work, we use data acquired longitudinally, in free-living, to provide accurate estimates of running performance. In particular, we used the HRV4Training app and integrated APIs (e.g. Strava and TrainingPeaks) to acquire different sets of parameters, either via user input, morning measurements of resting physiology, or running workouts to estimate running 10 km running time. Our unique dataset comprises data on 2113 individuals, from world class triathletes to individuals just getting started with running, and it spans over 2 years...
July 2018: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Birhane Alem Berihu, Abadi Leul Welderufael, Yibrah Berhe, Tony Magana, Afework Mulugeta, Selemawit Asfaw, Kibrom Gebreselassie
INTRODUCTION: Neural tube defects are the major causes of fetal loss and considerable disabilities in infants. Currently, there is no significant research on the incidence of Neural tube defects in the Tigray region of Ethiopia. OBJECTIVE: To determine the incidence and clinical pattern of the Neural Tube Defects. METHODS: A hospital-based cross-sectional study was conducted from October 2016 to June 2017. All pregnancy outcomes were examined for any externally visible birth defects and neurological integrity by trained midwives under the supervision of senior obstetrics and gynecology and a neurosurgeon...
2018: PloS One
Amanda L Ager, Jean-Sébastien Roy, France Gamache, Luc J Hébert
Introduction: Shoulder pain, a leading reason to consult a physician or physiotherapist, continues to be a challenge to rehabilitate, particularly with a military population. A rotator cuff (RC) tendinopathy, the most important source of shoulder pain, is one of the leading reasons for sick leave or a discharge from active military service. Research encourages the use of exercise prescription for the management of a RC tendinopathy, however the ideal method of delivery (group setting versus one-on-one) remains uncertain...
November 13, 2018: Military Medicine
Anh Son Le, Hirofumi Aoki, Fumihiko Murase, Kenji Ishida
Driver cognitive distraction is a critical factor in road safety, and its evaluation, especially under real conditions, presents challenges to researchers and engineers. In this study, we considered mental workload from a secondary task as a potential source of cognitive distraction and aimed to estimate the increased cognitive load on the driver with a four-channel near-infrared spectroscopy (NIRS) device by introducing a machine-learning method for hemodynamic data. To produce added cognitive workload in a driver beyond just driving, two levels of an auditory presentation n-back task were used...
2018: Frontiers in Human Neuroscience
Alexis Foster, Liz Croot, John Brazier, Janet Harris, Alicia O'Cathain
Background: There is increasing interest in using Patient Reported Outcome Measures (PROMs) within organisations delivering health related services. However, organisations have had mixed success in implementing PROMs and there is little understanding about why this may be. Thus, the purpose of this study was to identify the facilitators and barriers to implementing PROMs in organisations. Method: A systematic review of reviews was undertaken. Searches were conducted of five electronic databases: MEDLINE, EMBASE, CINAHL, PsycINFO and the Cochrane Database of Systematic Reviews, during the week of the 20th February 2017...
December 2018: Journal of patient-reported outcomes
Itamar Lerner, Mark A Gluck
Accumulating evidence suggests that sleep, and particularly Slow-Wave-Sleep (SWS), helps the implicit and explicit extraction of regularities within memories that were encoded in a previous wake period. Sleep following training on virtual navigation was also shown to improve performance in subsequent navigation tests. Some studies propose that this sleep-effect on navigation is based on explicit recognition of landmarks; however, it is possible that SWS-dependent extraction of implicit spatiotemporal regularities contributes as well...
2018: Frontiers in Human Neuroscience
Jaime Cadena-Valencia, Otto García-Garibay, Hugo Merchant, Mehrdad Jazayeri, Victor de Lafuente
To prepare timely motor actions, we constantly predict future events. Regularly repeating events are often perceived as a rhythm to which we can readily synchronize our movements, just as in dancing to music. However, the neuronal mechanisms underlying the capacity to encode and maintain rhythms are not understood. We trained nonhuman primates to maintain the rhythm of a visual metronome of diverse tempos and recorded neural activity in the supplementary motor area (SMA). SMA exhibited rhythmic bursts of gamma band (30-40 Hz) reflecting an internal tempo that matched the extinguished visual metronome...
October 22, 2018: ELife
Jason Moran, Rodrigo Ramirez-Campillo, Urs Granacher
BACKGROUND: Jump training (JT) can be used to enhance the ability of skeletal muscle to exert maximal force in as short a time as possible. Despite its usefulness as a method of performance enhancement in athletes, only a small number of studies have investigated its effects on muscle power in older adults. OBJECTIVES: The aims of this meta-analysis were to measure the effect of JT on muscular power in older adults (≥ 50 years), and to establish appropriate programming guidelines for this population...
December 2018: Sports Medicine
Jasmine L Jacobs-Wingo, Jeffrey Schlegelmilch, Maegan Berliner, Gloria Airall-Simon, William Lang
PURPOSE: Many nurses are trained inadequately in emergency preparedness (EP), preventing them from effectively executing response roles during disasters, such as chemical, biological, radiological, nuclear, and explosive (CBRNE) events. Nurses also indicate lacking confidence in their abilities to perform EP activities. The purpose of this article is to describe the phased development of, and delivery strategies for, a CBRNE curriculum to enhance EP among nursing professionals. The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) and the National Center for Disaster Preparedness at Columbia University's Earth Institute led the initiative...
September 17, 2018: Journal of Nursing Scholarship
Susan P Proctor, Matthew M Scarpaci, Alexis L Maule, Kristin J Heaton, Kathryn Taylor, Caitlin C Haven, Jennifer Rood, Maria Ospina, Antonia M Calafat
Wearing of permethrin treated clothing is becoming more prevalent in military and outdoor occupational and recreational settings, as a personal protection measure against vector borne diseases transmitted through arthropods (e.g., malaria, Lyme disease). The goal of the study was to prospectively examine permethrin exposure among new U.S. Army recruits who had just been issued permethrin-treated uniforms over a 10-week military training period and whether individual body composition (percent body fat, %BF) and physical workload (total energy expenditure, TEE) influenced the exposure...
December 15, 2018: Toxicology Letters
Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
BACKGROUND: Clinical tests for diagnosis of any disease may be expensive, uncomfortable, time consuming and can have side effects e.g. barium swallow test for esophageal cancer. Although we can predict non-existence of esophageal cancer with near 100% certainty just using demographics, lifestyle, medical history information, and a few basic clinical tests but our objective is to devise a general methodology for customizing tests with user preferences to avoid expensive or uncomfortable tests...
September 29, 2018: Artificial Intelligence in Medicine
Katie Waine, Rachel S Dean, Chris Hudson, Jonathan Huxley, Marnie L Brennan
Clinical audit is a quality improvement tool used to assess and improve the clinical services provided to patients. This is the first study to investigate the extent to which clinical audit is understood and utilised in farm animal veterinary practice. A cross-sectional study to collect experiences and attitudes of farm animal veterinary surgeons in the UK towards clinical audit was conducted using an online nationwide survey. The survey revealed that whilst just under three-quarters ( n = 237/325; 73%) of responding veterinary surgeons had heard of clinical audit, nearly 50% ( n = 148/301) had never been involved in a clinical audit of any species...
September 28, 2018: Veterinary Sciences
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