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M Elizabeth Snow, Katherine Tweedie, Ann Pederson
BACKGROUND: Recently, patient engagement has been identified as a promising strategy for supporting healthcare planning. However, the context and structure of universalistic, "one-size-fits-all" approaches often used for patient engagement may not enable diverse patients to participate in decision-making about programs intended to meet their needs. Specifically, standard patient engagement approaches are gender-blind and might not facilitate the engagement of those marginalized by, for example, substance use, low income, experiences of violence, homelessness, and/or mental health challenges-highly gendered health and social experiences...
March 15, 2018: BMC Health Services Research
Mathieu Bonneau, Régis Sabbadin, Fred A Johnson, Bradley Stith
Conversion of wild habitats to human dominated landscape is a major cause of biodiversity loss. An approach to mitigate the impact of habitat loss consists of designating reserves where habitat is preserved and managed. Determining the most valuable areas to preserve in a landscape is called the reserve design problem. There exists several possible formulations of the reserve design problem, depending on the objectives and the constraints. In this article, we considered the dynamic problem of designing a reserve that contains a desired area of several key habitats...
2018: PloS One
Evgeny A Kuzmin
The article presents data on the corporate survival rate in Russia in 1991-2014. The empirical survey was based on a random sample with the average number of non-repeated observations (number of companies) for the survey each year equal to 75,958 (24,236 minimum and 126,953 maximum). The actual limiting mean error ∆ p was 2.24% with 99% integrity. The survey methodology was based on a cross joining of various formal periods in the corporate life cycles (legal and business), which makes it possible to talk about a conventionally active time life of companies' existence with a number of assumptions...
February 2018: Data in Brief
Sana B Ali, Juana Romero, Kevin Morrison, Baria Hafeez, Jessica S Ancker
OBJECTIVES:  Although electronic patient portals are offered by most health care organizations, poor usability and poor fit to patient needs may pose barriers to adoption. We collaborated with an academic hospital to conduct iterative user evaluation of a newly deployed portal designed to deliver inpatient data upon hospital discharge. METHODS:  Three evaluators applied heuristic usability evaluation and conducted 23 individual user testing sessions with patients with chronic disease or managing the care of family members with chronic disease...
January 2018: Applied Clinical Informatics
Lindsay L Juriga, David J Murray, John R Boulet, James J Fehr
BACKGROUND: Simulation is frequently used to recreate many of the crises encountered in patient care settings. Teams learn to manage these crises in an environment that maximizes their learning experiences and eliminates the potential for patient harm. By designing simulation scenarios that include conditions associated with diagnostic errors, teams can experience how their decisions can lead to errors. The purpose of this study was to assess how trauma teams (TrT) and pediatric rapid response teams (RRT) managed scenarios that included a diagnostic error...
November 27, 2017: Diagnosis
Audrey Rutherford, Stephen Erickson, Emily Keimig, Heather Wickless
No abstract text is available yet for this article.
March 10, 2018: Journal of the American Academy of Dermatology
Sandra Monteiro, Geoff Norman, Jonathan Sherbino
There is general consensus that clinical reasoning involves 2 stages: a rapid stage where 1 or more diagnostic hypotheses are advanced and a slower stage where these hypotheses are tested or confirmed. The rapid hypothesis generation stage is considered inaccessible for analysis or observation. Consequently, recent research on clinical reasoning has focused specifically on improving the accuracy of the slower, hypothesis confirmation stage. Three perspectives have developed in this line of research, and each proposes different error reduction strategies for clinical reasoning...
March 13, 2018: Journal of Evaluation in Clinical Practice
Pranjal Vachaspati, Tandy Warnow
Species tree estimation from multi-locus datasets is complicated by processes such as incomplete lineage sorting (ILS) that result in different loci having different trees. Summary methods, which estimate species trees by combining gene trees, are popular but their accuracy is impaired by gene tree estimation error. Other approaches have been developed that only use the site patterns to estimate the species tree, and so are not impacted by gene tree estimation issues. In particular, PAUP∗ provides a method in which SVDquartets is used to compute a set Q of quartet trees (i...
March 9, 2018: Molecular Phylogenetics and Evolution
Katherine M Malan, I Moser
The notion and characterisation of fitness landscapes has helped understand the performance of heuristic algorithms on complex optimisation problems. Many practical problems, however, are constrained, and when significant areas of the search space are infeasible, researchers have intuitively resorted to a variety of constraint-handling techniques intended to help the algorithm manoeuvre through infeasible areas and towards feasible regions of better fitness. It is clear that providing constraint-related feedback to the algorithm to influence its choice of solutions overlays the violation landscape with the fitness landscape in unpredictable ways whose effects on the algorithm cannot be directly measured...
March 12, 2018: Evolutionary Computation
Jason N Itri, Sohil H Patel
OBJECTIVE: The field of cognitive science has provided important insights into mental processes underlying the interpretation of imaging examinations. Despite these insights, diagnostic error remains a major obstacle in the goal to improve quality in radiology. In this article, we describe several types of cognitive bias that lead to diagnostic errors in imaging and discuss approaches to mitigate cognitive biases and diagnostic error. CONCLUSION: Radiologists rely on heuristic principles to reduce complex tasks of assessing probabilities and predicting values into simpler judgmental operations...
March 12, 2018: AJR. American Journal of Roentgenology
Nikolaos Floros, Marios Papadakis, Hubert Schelzig, Alexander Oberhuber
Over the last three decades, the development of systematic and protocol-based algorithms, and advances in available diagnostic tests have become the indispensable parts of practising medicine. Naturally, despite the implementation of meticulous protocols involving diagnostic tests or even trials of empirical therapies, the cause of one's symptoms may still not be obvious. We herein report a case of chronic back pain, which took about 5 years to get accurately diagnosed. The case challenges the diagnostic assumptions and sets ground of discussion for the diagnostic reasoning pitfalls and heuristic biases that mislead the caring physicians and cost years of low quality of life to our patient...
March 10, 2018: BMJ Case Reports
Serge W Wiltshire
An agent-based computer model that builds representative regional U.S. hog production networks was developed and employed to assess the potential impact of the ongoing trend towards increased producer specialization upon network-level resilience to catastrophic disease outbreaks. Empirical analyses suggest that the spatial distribution and connectivity patterns of contact networks often predict epidemic spreading dynamics. Our model heuristically generates realistic systems composed of hog producer, feed mill, and slaughter plant agents...
2018: PloS One
Sofía S Villar
In a rare life-threatening disease setting the number of patients in the trial is a high proportion of all patients with the condition (if not all of them). Further, this number is usually not enough to guarantee the required statistical power to detect a treatment effect of a meaningful size. In such a context, the idea of prioritizing patient benefit over hypothesis testing as the goal of the trial can lead to a trial design that produces useful information to guide treatment, even if it does not do so with the standard levels of statistical confidence...
April 2018: Probability in the Engineering and Informational Sciences
L Appolloni, R Sandulli, G Vetrano, G F Russo
Marine Protected Areas are considered key tools for conservation of coastal ecosystems. However, many reserves are characterized by several problems mainly related to inadequate zonings that often do not protect high biodiversity and propagule supply areas precluding, at the same time, economic important zones for local interests. The Gulf of Naples is here employed as a study area to assess the effects of inclusion of different conservation features and costs in reserve design process. In particular eight scenarios are developed using graph theory to identify propagule source patches and fishing and exploitation activities as costs-in-use for local population...
March 5, 2018: Journal of Environmental Management
Dingqiao Wen, Yun Yu, Jiafan Zhu, Luay Nakhleh
PhyloNet was released in 2008 as a software package for representing and analyzing phylogenetic networks. At the time of its release, the main functionalities in PhyloNet consisted of measures for comparing network topologies and a single heuristic for reconciling gene trees with a species tree. Since then, PhyloNet has grown significantly. The software package now includes a wide array of methods for inferring phylogenetic networks from data sets of unlinked loci while accounting for both reticulation (e.g...
March 5, 2018: Systematic Biology
Bronwyn K Clark, Elisabeth A Winkler, Charlotte L Brakenridge, Stewart G Trost, Genevieve N Healy
BACKGROUND: Most wearable devices that measure movement in workplaces cannot determine the context in which people spend time. This study examined the accuracy of Bluetooth sensing (10-second intervals) via the ActiGraph GT9X Link monitor to determine location in an office setting, using two simple, bespoke algorithms. METHODS: For one work day (mean±SD 6.2±1.1 hours), 30 office workers (30% men, aged 38±11 years) simultaneously wore chest-mounted cameras (video recording) and Bluetooth-enabled monitors (initialised as receivers) on the wrist and thigh...
2018: PloS One
Maryam Etemadi, Mehri Bagherian, Zhi-Zhong Chen, Lusheng Wang
BACKGROUND: The haplotype assembly problem for diploid is to find a pair of haplotypes from a given set of aligned Single Nucleotide Polymorphism (SNP) fragments (reads). It has many applications in association studies, drug design, and genetic research. Since this problem is computationally hard, both heuristic and exact algorithms have been designed for it. Although exact algorithms are much slower, they are still of great interest because they usually output significantly better solutions than heuristic algorithms in terms of popular measures such as the Minimum Error Correction (MEC) score, the number of switch errors, and the QAN50 score...
February 19, 2018: BMC Bioinformatics
Alessandro Baldini, Lucio Ciabattoni, Riccardo Felicetti, Francesco Ferracuti, Alessandro Freddi, Andrea Monteriù
In this paper, we present a two stages actuator Fault Tolerant Control (FTC) strategy for the trajectory tracking of a Remotely Operated Vehicle (ROV). Dynamic Surface Control (DSC) is used to generate the moment and forces required by the vehicle to perform the desired motion. In the second stage of the control system, a fault tolerant thruster allocation policy is employed to distribute moment and forces among the thrusters. Exhaustive simulations have been carried out in order to compare the performance of the proposed solution with respect to different control techniques (i...
March 1, 2018: ISA Transactions
Paula Parpart, Matt Jones, Bradley C Love
Simple heuristics are often regarded as tractable decision strategies because they ignore a great deal of information in the input data. One puzzle is why heuristics can outperform full-information models, such as linear regression, which make full use of the available information. These "less-is-more" effects, in which a relatively simpler model outperforms a more complex model, are prevalent throughout cognitive science, and are frequently argued to demonstrate an inherent advantage of simplifying computation or ignoring information...
February 28, 2018: Cognitive Psychology
Guido Giunti, Vasiliki Mylonopoulou, Octavio Rivera Romero
BACKGROUND: Multiple sclerosis (MS) is one of the world's most common neurologic disorders. Fatigue is one of most common symptoms that persons with MS experience, having significant impact on their quality of life and limiting their activity levels. Self-management strategies are used to support them in the care of their health. Mobile health (mHealth) solutions are a way to offer persons with chronic conditions tools to successfully manage their symptoms and problems. Gamification is a current trend among mHealth apps used to create engaging user experiences and is suggested to be effective for behavioral change...
March 2, 2018: JMIR MHealth and UHealth
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