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https://www.readbyqxmd.com/read/29235133/operating-on-the-self-transforming-agency-through-obesity-surgery-and-treatment
#1
Else Vogel
In this article, I describe the processes through which patients diagnosed with 'morbid obesity' become active subjects through undergoing obesity surgery and an empowerment lifestyle programme in a Dutch obesity clinic. Following work in actor-network theory and material semiotics that complicates the distinction between active and passive subjects, I trace how agency is configured and re-distributed throughout the treatment trajectory. In the clinic's elaborate care assemblage - consisting of dieticians, exercise coaches and psychologists - the person is not only actively involved in his/her own change, the subject of intervention is the self as 'actor': his/her material constitution, inclinations and feelings...
December 12, 2017: Sociology of Health & Illness
https://www.readbyqxmd.com/read/29233605/measuring-vaccine-acceptance-among-canadian-parents-a-survey-of-the-canadian-immunization-research-network
#2
Eve Dubé, Dominique Gagnon, Manale Ouakki, Julie A Bettinger, Holly O Witteman, Shannon MacDonald, William Fisher, Vineet Saini, Devon Greyson
Parental decision making about childhood vaccinations is complex and multidimensional. There is a perception that the number of parents having concerns regarding childhood vaccinations has been increasing in Canada. The aim of this study was to explore vaccine hesitancy among Canadian parents and to examine factors associated with a parent's intention to vaccinate his/her child. Informed by the Theory of Planned Behaviour (TPB) this study assesses potential associations between parents' knowledge, attitudes and beliefs toward vaccination and their intention to vaccinate their child in the future...
December 9, 2017: Vaccine
https://www.readbyqxmd.com/read/29233120/prediction-of-5-year-overall-survival-in-cervical-cancer-patients-treated-with-radical-hysterectomy-using-computational-intelligence-methods
#3
Bogdan Obrzut, Maciej Kusy, Andrzej Semczuk, Marzanna Obrzut, Jacek Kluska
BACKGROUND: Computational intelligence methods, including non-linear classification algorithms, can be used in medical research and practice as a decision making tool. This study aimed to evaluate the usefulness of artificial intelligence models for 5-year overall survival prediction in patients with cervical cancer treated by radical hysterectomy. METHODS: The data set was collected from 102 patients with cervical cancer FIGO stage IA2-IIB, that underwent primary surgical treatment...
December 12, 2017: BMC Cancer
https://www.readbyqxmd.com/read/29232249/clinical-trials-in-valvular-surgery-a-2018-update
#4
Bobby Yanagawa, Amine Mazine, Derrick Y Tam, Subodh Verma
PURPOSE OF REVIEW: There is a growing emphasis on the conduct of large-scale, multicenter randomized controlled trials (RCTs) to guide decision-making in cardiac surgery. Here we review recent landmark RCTs in cardiac valvular surgery. RECENT FINDINGS: RCTs are the gold-standard level of data in medicine. However, there are unique challenges of conducting large-scale surgical trials including funding, blinding, generalizability, nonstandardization of the surgical technique, crossover, among others...
December 11, 2017: Current Opinion in Cardiology
https://www.readbyqxmd.com/read/29227419/lessons-learned-from-the-environmental-public-health-tracking-sub-county-data-pilot-project
#5
Angela K Werner, Heather Strosnider, Craig Kassinger, Mikyong Shin
OBJECTIVE: Small area data are key to better understanding the complex relationships between environmental health, health outcomes, and risk factors at a local level. In 2014, the Centers for Disease Control and Prevention's National Environmental Public Health Tracking Program (Tracking Program) conducted the Sub-County Data Pilot Project with grantees to consider integration of sub-county data into the National Environmental Public Health Tracking Network (Tracking Network). DESIGN: The Tracking Program and grantees developed sub-county-level data for several data sets during this pilot project, working to standardize processes for submitting data and creating required geographies...
December 7, 2017: Journal of Public Health Management and Practice: JPHMP
https://www.readbyqxmd.com/read/29227155/using-mobile-health-to-improve-social-support-for-low-income-latino-patients-with-diabetes-a-mixed-methods-analysis-of-the-feasibility-trial-of-text-med%C3%A2-%C3%A2-fans
#6
Elizabeth Burner, Chun Nok Lam, Rebecca DeRoss, Marjorie Kagawa Singer, Michael Menchine, Sanjay Arora
BACKGROUND: Social support interventions can improve diabetes self-care, particularly for Latinos, but are time and resource intensive. Mobile health may overcome these barriers by engaging and training supporters remotely. METHODS: We conducted a randomized controlled feasibility trial of emergency department patients with diabetes to determine the feasibility of enrolling patients and supporters, acceptability of the intervention, and preliminary efficacy results to power a larger trial...
December 11, 2017: Diabetes Technology & Therapeutics
https://www.readbyqxmd.com/read/29226224/an-application-of-programmatic-assessment-for-learning-pal-system-for-general-practice-training
#7
Lambert Schuwirth, Nyoli Valentine, Paul Dilena
Aim: Programmatic assessment for learning (PAL) is becoming more and more popular as a concept but its implementation is not without problems. In this paper we describe the design principles behind a PAL program in a general practice training context. Design principles: The PAL program was designed to optimise the meaningfulness of assessment information for the registrar and to make him/her use that information to self regulate their learning. The main principles in the program were cognitivist and transformative...
2017: GMS Journal for Medical Education
https://www.readbyqxmd.com/read/29223432/contemporary-risk-model-for-inhospital-major-bleeding-for-patients-with-acute-myocardial-infarction-the-acute-coronary-treatment-and-intervention-outcomes-network-action-registry%C3%A2-get-with-the-guidelines-gwtg-%C3%A2
#8
Nihar R Desai, Kevin F Kennedy, David J Cohen, Traci Connolly, Deborah B Diercks, Mauro Moscucci, Stephen Ramee, John Spertus, Tracy Y Wang, Robert L McNamara
BACKGROUND: Major bleeding is a frequent complication for patients with acute myocardial infarction (AMI) and is associated with significant morbidity and mortality. OBJECTIVE: To develop a contemporary model for inhospital major bleeding that can both support clinical decision-making and serve as a foundation for assessing hospital quality. METHODS: An inhospital major bleeding model was developed using the Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With the Guidelines (ACTION Registry-GWTG) database...
December 2017: American Heart Journal
https://www.readbyqxmd.com/read/29218265/the-role-of-imaging-and-radiation-oncology-core-for-precision-medicine-era-of-clinical-trial
#9
Ying Xiao, Mark Rosen
Imaging and Radiation Oncology Core (IROC) services have been established for the quality assurance (QA) of imaging and radiotherapy (RT) for NCI's Clinical Trial Network (NCTN) for any trials that contain imaging or RT. The randomized clinical trial is the gold standard for evidence-based medicine. QA ensures data quality, preventing noise from inferior treatments obscuring clinical trial outcome. QA is also found to be cost-effective. IROC has made great progress in multi-institution standardization and is expected to lead QA standardization, QA science in imaging and RT and to advance quality data analysis with big data in the future...
December 2017: Translational Lung Cancer Research
https://www.readbyqxmd.com/read/29216594/indicators-to-support-healthy-urban-gardening-in-urban-management
#10
Dieneke Schram-Bijkerk, Piet Otte, Liesbet Dirven, Anton M Breure
Urban gardening is part of a trend towards more parks and green areas in cities, consumption of organic, locally grown products, and a closer relationship with one's own living environment. Our literature review shows that urban gardens provide opportunities for physical activity and allow people to consume homegrown fruit and vegetables. Urban gardens may also reduce stress levels of gardeners and improve social cohesion. In this way, they can help to prevent health problems. Good quality of urban soil and the functioning of soil ecosystems are indispensable prerequisites for these...
December 4, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/29214409/strategies-to-implement-pre-exposure-prophylaxis-with-men-who-have-sex-with-men-in-ukraine
#11
Alex Dubov, Liana Fraenkel, Roman Yorick, Adedotun Ogunbajo, Frederick L Altice
Ukrainian men who have sex with men (MSM) remain highly stigmatized group with HIV prevalence as high as 23%. Despite documented effectiveness of pre-exposure prophylaxis (PrEP), PrEP remains unavailable in Ukraine. The aim of this study was to elicit MSM preferences in order to inform program development to facilitate successful delivery of PrEP to Ukrainian MSM. 1184 MSM were recruited through social networking applications to complete a stated preference (choice-based conjoint) survey. Respondents completed 14 choice tasks presenting experimentally-varied combinations of five attributes related to PrEP administration (dosing frequency, dispensing venue, prescription practices, adherence support, and costs)...
December 6, 2017: AIDS and Behavior
https://www.readbyqxmd.com/read/29210978/heterogeneous-data-fusion-method-to-estimate-travel-time-distributions-in-congested-road-networks
#12
Chaoyang Shi, Bi Yu Chen, William H K Lam, Qingquan Li
Travel times in congested urban road networks are highly stochastic. Provision of travel time distribution information, including both mean and variance, can be very useful for travelers to make reliable path choice decisions to ensure higher probability of on-time arrival. To this end, a heterogeneous data fusion method is proposed to estimate travel time distributions by fusing heterogeneous data from point and interval detectors. In the proposed method, link travel time distributions are first estimated from point detector observations...
December 6, 2017: Sensors
https://www.readbyqxmd.com/read/29206159/energy-management-in-smart-cities-based-on-internet-of-things-peak-demand-reduction-and-energy-savings
#13
Chinmaya Mahapatra, Akshaya Kumar Moharana, Victor C M Leung
Around the globe, innovation with integrating information and communication technologies (ICT) with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future...
December 5, 2017: Sensors
https://www.readbyqxmd.com/read/29205406/systematic-review-and-network-meta-analysis-first-and-second-line-pharmacotherapy-for-moderate-severe-ulcerative-colitis
#14
S Singh, M Fumery, W J Sandborn, M H Murad
BACKGROUND: There are limited data to inform positioning of agents for treating moderate-severe ulcerative colitis (UC). AIM: To assess comparative efficacy and safety of different therapies as first-line (biologic-naïve) and second-line (prior exposure to anti-tumour necrosis factor(TNF)-α) agents for moderate-severe UC, through a systematic review and network meta-analysis, and appraise quality of evidence (QoE) using grading of recommendations, assessment, development and evaluation (GRADE) approach...
December 4, 2017: Alimentary Pharmacology & Therapeutics
https://www.readbyqxmd.com/read/29205242/refining-tools-to-bridge-the-gap-between-academia-and-chemical-regulation-perspectives-for-wikireach
#15
Marlene Ågerstrand, Mattheus Brenig, Martin Führ, Julian Schenten
Regulatory hazard and risk assessments of chemical substances have to include all reliable and relevant data to be credible and complete. However, screening the literature for appropriate studies and extracting data is burdensome. Therefore, reducing impediments by making data easily and readily accessible to risk assessors could result in more comprehensive hazard and risk assessments. In this paper, we study WikiPharma, a database that aggregates ecotoxicity data for pharmaceuticals, extracted from peer-reviewed studies...
December 5, 2017: Environmental Science. Processes & Impacts
https://www.readbyqxmd.com/read/29205105/epidemiology-past-present-and-future-impacts-on-understanding-disease-dynamics-and-improving-plant-disease-management-a-summary-of-focus-issue-articles
#16
P S Ojiambo, J Yuen, F van den Bosch, L V Madden
Epidemiology has made significant contributions to plant pathology by elucidating the general principles underlying the development of disease epidemics. This has resulted in a greatly improved theoretical and empirical understanding of the dynamics of disease epidemics in time and space, predictions of disease outbreaks or the need for disease control in real-time basis, and tactical and strategic solutions to disease problems. Availability of high-resolution experimental data at multiple temporal and spatial scales has now provided a platform to test and validate theories on the spread of diseases at a wide range of spatial scales ranging from the local to the landscape level...
October 2017: Phytopathology
https://www.readbyqxmd.com/read/29203205/effects-of-intentionality-and-subliminal-information-in-free-choices-to-inhibit
#17
Tommaso Dall'Acqua, Chiara Begliomini, Raffaella Motta, Diego Miotto, Umberto Castiello
Stopping an action at the very last moment is an important feature of human behavioural flexibility. Intentional inhibition has been defined as the ability to inhibit an action on the basis of an internal decision process. Without this ability, actions would be impulsive and would leave little space to correct misguided decisions. Previous research suggests that making a choice between action alternatives activates a specific "choice network" that includes the rostral cingulate zone (RCZ), the anterior insula (AI), the dorsolateral prefrontal cortex (DLPFC) and the inferior parietal lobe (IPL)...
December 1, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/29202321/quantitative-analysis-of-breast-cancer-diagnosis-using-a-probabilistic-modelling-approach
#18
Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam Maguire, Xuemei Ding
BACKGROUND: Breast cancer is the most prevalent cancer in women in most countries of the world. Many computer-aided diagnostic methods have been proposed, but there are few studies on quantitative discovery of probabilistic dependencies among breast cancer data features and identification of the contribution of each feature to breast cancer diagnosis. METHODS: This study aims to fill this void by utilizing a Bayesian network (BN) modelling approach. A K2 learning algorithm and statistical computation methods are used to construct BN structure and assess the obtained BN model...
November 21, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29200435/a-model-of-individualized-canonical-microcircuits-supporting-cognitive-operations
#19
Tim Kunze, Andre D H Peterson, Jens Haueisen, Thomas R Knösche
Major cognitive functions such as language, memory, and decision-making are thought to rely on distributed networks of a large number of basic elements, called canonical microcircuits. In this theoretical study we propose a novel canonical microcircuit model and find that it supports two basic computational operations: a gating mechanism and working memory. By means of bifurcation analysis we systematically investigate the dynamical behavior of the canonical microcircuit with respect to parameters that govern the local network balance, that is, the relationship between excitation and inhibition, and key intrinsic feedback architectures of canonical microcircuits...
2017: PloS One
https://www.readbyqxmd.com/read/29196094/-fregat-french-clinico-biological-database-dedicated-to-esogastric-cancers
#20
Florence Renaud, Frédéric Bibeau, Emmanuelle Leteurtre, Christine Delaeter, Malek Dib, Valentin Harter, Antoine Adenis, Guillaume Piessen, Christophe Mariette
Even though esogastric cancers are estimated at 1.5 million new cases worldwide with an expected 2.11 million new cases by 2025, prognosis remains poor and research is unsatisfactory compared to other cancers. There is an urgent need to intensify research via innovative and ambitious programs to improve patient's survival and quality of life. Incidence of esogastric cancers is particularly high in France, and the creation of a national clinicobiological database prospectively collecting epidemiological, human and social, clinical, pathological, biological data, sustained by biobanks of blood and tissues, is a critical point to improve research and care for these cancers considering all determinants of the disease with a more integrated approach...
November 28, 2017: Annales de Pathologie
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