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https://www.readbyqxmd.com/read/28101815/developing-a-crowdsourcing-approach-and-tool-for-pharmacovigilance-education-material-delivery
#1
Andrew Bate, Jürgen Beckmann, Alexander Dodoo, Linda Härmark, Kenneth Hartigan-Go, Anna Hegerius, Marie Lindquist, Eugène van Puijenbroek, Marco Tuccori, Ulrich Hagemann
The number of pharmacovigilance professionals worldwide is increasing with a high staff turnover. There is a constant stream of new colleagues with an interest or need to learn about the discipline. Consequently, there is an increasing need for training in pharmacovigilance. An important step towards this has been made through developing and publishing the World Health Organization (WHO)-International Society of Pharmacovigilance (ISoP) Pharmacovigilance Curriculum. Using the Pharmacovigilance Curriculum effectively, it should be supplemented by providing comprehensive training material from various sources, and making the Pharmacovigilance Curriculum attractive and a high-utility product...
January 18, 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
https://www.readbyqxmd.com/read/28100440/it-s-about-me-patients-experiences-of-patient-participation-in-the-web-behavior-change-program-for-activity-in-combination-with-multimodal-pain-rehabilitation
#2
Catharina Nordin, Peter Michaelson, Margareta K Eriksson, Gunvor Gard
BACKGROUND: Patients' participation in their health care is recognized as a key component in high-quality health care. Persons with persistent pain are recommended treatments with a cognitive approach from a biopsychosocial explanation of pain, in which a patient's active participation in their rehabilitation is in focus. Web-based interventions for pain management have the potential to increase patient participation by enabling persons to play a more active role in rehabilitation. However, little is known about patients' experiences of patient participation in Web-based interventions in clinical practice...
January 18, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28099326/implementation-of-a-needs-based-online-feedback-tool-for-anesthesia-residents-with-subsequent-mapping-of-the-feedback-to-the-acgme-milestones
#3
Pedro Tanaka, Sylvia Bereknyei Merrell, Kim Walker, Jennifer Zocca, Lena Scotto, Alyssa L Bogetz, Alex Macario
BACKGROUND: Optimizing feedback that residents receive from faculty is important for learning. The goals of this study were to (1) conduct focus groups of anesthesia residents to define what constitutes optimal feedback; (2) develop, test, and implement a web-based feedback tool; and (3) then map the contents of the written comments collected on the feedback tool to the Accreditation Council for Graduate Medical Education (ACGME) anesthesiology milestones. METHODS: All 72 anesthesia residents in the program were invited to participate in 1 of 5 focus groups scheduled over a 2-month period...
February 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28098951/lessons-learned-from-a-practice-based-multisite-intervention-study-with-nurse-participants
#4
Christopher R Friese, Kari Mendelsohn-Victor, Pamela Ginex, Carol M McMahon, Alex J Fauer, Marjorie C McCullagh
PURPOSE: To identify challenges and solutions to the efficient conduct of a multisite, practice-based randomized controlled trial to improve nurses' adherence to personal protective equipment use in ambulatory oncology settings. DESIGN: The Drug Exposure Feedback and Education for Nurses' Safety (DEFENS) study is a clustered, randomized, controlled trial. Participating sites are randomized to Web-based feedback on hazardous drug exposures in the sites plus tailored messages to address barriers versus a control intervention of a Web-based continuing education video...
January 18, 2017: Journal of Nursing Scholarship
https://www.readbyqxmd.com/read/28095585/clinical-nursing-leadership-education-in-long-term-care-intervention-design-and-evaluation
#5
Valerie Fiset, Tracy Luciani, Alyssa Hurtubise, Theresa L Grant
The main objective of the current case study was to investigate the perceived leadership learning needs and feasibility of delivering leadership education to registered staff involved in direct care in long-term care (LTC) homes. The study was conducted in Ontario, Canada, and participants included RNs, registered practical nurses, and nursing administrators. Phase 1 bilingual web-based survey and bilingual focus group needs assessment data supported a preference for external training along with in-house mentoring to support sustainability...
January 17, 2017: Journal of Gerontological Nursing
https://www.readbyqxmd.com/read/28095281/nurses-attitudes-toward-intervening-with-smokers-their-knowledge-opinion-and-e-learning-impact
#6
Eva Králíková, Vladislava Felbrová, Stanislava Kulovaná, Kateřina Malá, Iveta Nohavová, Eva Roubíčková, Alexandra Pánková, Stella A Bialous, Marjorie J Wells, Jenny Brook, Linda Sarna
BACKGROUND: Numbering about 90,000, nurses represent the largest group of health care providers in the Czech Republic. Therefore, nurses can make a significant impact in the treatment of tobacco dependence, particularly in applying brief interventions to smokers. METHODS: During 2014, 279 nurses from the Czech Republic participated in an e-learning education programme consisting of two Webcasts with additional web-based resources about smoking cessation in relation to health and treatment options in daily clinical practice, particularly regarding brief intervention methods...
December 2016: Central European Journal of Public Health
https://www.readbyqxmd.com/read/28092429/residents-understanding-of-adult-congenital-heart-disease
#7
Paul Cooper, Morgan Hindes, Timothy M Maul, Stephen C Cook
OBJECTIVE: Medical residents are exposed to increasing numbers of adults with congenital heart disease (ACHD). While inadequate ACHD knowledge may lead to inappropriate practice, this educational deficit has not been investigated. Our aim was to analyze residents' attitudes, perceived ability, and knowledge of ACHD medicine. DESIGN, METHODS, OUTCOME MEASURES: A single center, multiprogram cross-sectional study was conducted in 2015 using an electronic survey to assess 472 medical residents' perceived knowledge and self-assessed skills related to ACHD medicine...
January 16, 2017: Congenital Heart Disease
https://www.readbyqxmd.com/read/28090732/high-engagement-high-quality-a-guiding-framework-for-developing-empirically-informed-asynchronous-e-learning-programs-for-health-professional-educators
#8
Peter M Sinclair, Tracey Levett-Jones, Amanda Morris, Ben Carter, Paul N Bennett, Ashley Kable
E-learning involves the transfer of skills and knowledge via technology so that learners can access meaningful and authentic educational materials. While learner engagement is important, in the context of healthcare education, pedagogy must not be sacrificed for edu-tainment style instructional design. Consequently, health professional educators need to be competent in the use of current web-based educational technologies so that learners are able to access relevant and engaging e-learning materials without restriction...
January 16, 2017: Nursing & Health Sciences
https://www.readbyqxmd.com/read/28088356/advancing-the-prediction-accuracy-of-protein-protein-interactions-by-utilizing-evolutionary-information-from-position-specific-scoring-matrix-and-ensemble-classifier
#9
Lei Wang, Zhu-Hong You, Shi-Xiong Xia, Feng Liu, Xing Chen, Xin Yan, Yong Zhou
Protein-Protein Interactions (PPIs) are essential to most biological processes and play a critical role in most cellular functions. With the development of high-throughput biological techniques and in silico methods, a large number of PPI data have been generated for various organisms, but many problems remain unsolved. These factors promoted the development of the in silico methods based on machine learning to predict PPIs. In this study, we propose a novel method by combining ensemble Rotation Forest (RF) classifier and Discrete Cosine Transform (DCT) algorithm to predict the interactions among proteins...
January 11, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28086747/microrna-based-pan-cancer-diagnosis-and-treatment-recommendation
#10
Nikhil Cheerla, Olivier Gevaert
BACKGROUND: The current state-of-the-art in cancer diagnosis and treatment is not ideal; diagnostic tests are accurate but invasive, and treatments are "one-size fits-all" instead of being personalized. Recently, miRNA's have garnered significant attention as cancer biomarkers, owing to their ease of access (circulating miRNA in the blood) and stability. There have been many studies showing the effectiveness of miRNA data in diagnosing specific cancer types, but few studies explore the role of miRNA in predicting treatment outcome...
January 13, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28078729/achieving-full-scope-of-practice-readiness-using-evidence-for-psychotherapy-teaching-in-web-and-hybrid-approaches-in-psychiatric-mental-health-advanced-practice-nursing-education
#11
Kathleen T McCoy
: Radical changes in role, education, and practice have affected how education of advance practice nurses and practice deliverables occur. PURPOSE: This article examines the effects of distance education upon the teaching/learning of psychotherapy in integrating Web-based technology and platforms. DESIGN AND METHODS: With the advent and proliferation of online programs of study, the question begs: How do distance-linked programs successfully introduce, practice, and supervise one-to-one and group psychotherapy training? FINDINGS: By employing evidence-based education strategies, technology, and strong interpersonal skills and evidence-based therapies, a charter Psychiatric Mental Health Nurse Practitioner Doctor of Nursing Practice program paved an innovative and successful path...
January 12, 2017: Perspectives in Psychiatric Care
https://www.readbyqxmd.com/read/28067221/quantum-chemical-insights-from-deep-tensor-neural-networks
#12
Kristof T Schütt, Farhad Arbabzadah, Stefan Chmiela, Klaus R Müller, Alexandre Tkatchenko
Learning from data has led to paradigm shifts in a multitude of disciplines, including web, text and image search, speech recognition, as well as bioinformatics. Can machine learning enable similar breakthroughs in understanding quantum many-body systems? Here we develop an efficient deep learning approach that enables spatially and chemically resolved insights into quantum-mechanical observables of molecular systems. We unify concepts from many-body Hamiltonians with purpose-designed deep tensor neural networks, which leads to size-extensive and uniformly accurate (1 kcal mol(-1)) predictions in compositional and configurational chemical space for molecules of intermediate size...
January 9, 2017: Nature Communications
https://www.readbyqxmd.com/read/28062516/systems-thinking-in-public-health-a-bibliographic-contribution-to-a-meta-narrative-review
#13
Saad Chughtai, Karl Blanchet
BACKGROUND: Research across the formal, natural and social sciences has greatly expanded our knowledge about complex systems in recent decades, informing a broadly inclusive, cross-disciplinary conceptual framework referred to as Systems Thinking (ST). Its use in public health is rapidly increasing, although there remains a poor understanding of how these ideas have been imported, adapted and elaborated by public health research networks worldwide. METHOD: This review employed a mixed methods approach to narrate the development of ST in public health...
January 6, 2017: Health Policy and Planning
https://www.readbyqxmd.com/read/28060704/segnet-a-deep-convolutional-encoder-decoder-architecture-for-scene-segmentation
#14
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder network, a corresponding decoder network followed by a pixel-wise classification layer. The architecture of the encoder network is topologically identical to the 13 convolutional layers in the VGG16 network [1]. The role of the decoder network is to map the low resolution encoder feature maps to full input resolution feature maps for pixel-wise classification...
January 2, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28059689/an-integrated-health-neighbourhood-framework-to-optimise-the-use-of-ehr-data
#15
Siaw-Teng Liaw, Simon De Lusignan
 General practice should become the hub of integrated health neighbourhoods (IHNs), which involves sharing of information to ensure that medical homes are also part of learning organisations that use electronic health record (EHR) data for care, decision making, teaching and learning, quality improvement and research. The IHN is defined as the primary and ambulatory care services in a locality that relates largely to a single hospital-based secondary care service provider and is the logical denominator and unit of comparison for the optimal use of EHR data and health information exchange (HIE) to facilitate integration and coordination of care...
October 4, 2016: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28057002/prediction-of-anti-inflammatory-proteins-peptides-an-insilico-approach
#16
Sudheer Gupta, Ashok K Sharma, Vibhuti Shastri, Midhun K Madhu, Vineet K Sharma
BACKGROUND: The current therapy for inflammatory and autoimmune disorders involves the use of nonspecific anti-inflammatory drugs and other immunosuppressant, which are often accompanied with potential side effects. As an alternative therapy, anti-inflammatory peptides are recently being exploited as anti-inflammatory agents for treatment of various inflammatory diseases such as Alzheimer's disease and rheumatoid arthritis. Thus, understanding the correlation between amino acid sequence and its potential anti-inflammatory property is of great importance for the discovery of novel and efficient anti-inflammatory peptide-based therapeutics...
January 6, 2017: Journal of Translational Medicine
https://www.readbyqxmd.com/read/28056090/accurate-de-novo-prediction-of-protein-contact-map-by-ultra-deep-learning-model
#17
Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang, Jinbo Xu
MOTIVATION: Protein contacts contain key information for the understanding of protein structure and function and thus, contact prediction from sequence is an important problem. Recently exciting progress has been made on this problem, but the predicted contacts for proteins without many sequence homologs is still of low quality and not very useful for de novo structure prediction. METHOD: This paper presents a new deep learning method that predicts contacts by integrating both evolutionary coupling (EC) and sequence conservation information through an ultra-deep neural network formed by two deep residual neural networks...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28052320/reliability-in-cardiotocography-interpretation-impact-of-extended-on-site-education-in-addition-to-web-based-learning-an-observational-study
#18
Erika Gyllencreutz, Ingela Hulthén Varli, Pelle G Lindqvist, Malin Holzmann
INTRODUCTION: Previous studies have shown poor reproducibility in cardiotocography (CTG) interpretation. Studies evaluating the Swedish web-based CTG-education program have not proven to increase accurate CTG assessments. The aim of this study was to evaluate whether an extended education can improve inter- and intra-observer reliability in CTG interpretation. MATERIAL AND METHODS: Six obstetricians from two different departments interpreted 106 CTG tracings at two occasions...
January 4, 2017: Acta Obstetricia et Gynecologica Scandinavica
https://www.readbyqxmd.com/read/28051850/bioblocks-programming-protocols-in-biology-made-easier
#19
Vishal Gupta, Jesus Irimia, Ivan Pau, Alfonso Rodriguez-Paton
The methods to execute biological experiments are evolving. Affordable fluid handling robots and on-demand biology enterprises are making automating entire experiments a reality. Automation offers the benefit of high-throughput experimentation, rapid prototyping and improved reproducibility of results. However, learning to automate and codify experiments is a difficult task as it requires programming expertise. Here, we present a web-based visual development environment called BioBlocks for describing experimental protocols in biology...
January 4, 2017: ACS Synthetic Biology
https://www.readbyqxmd.com/read/28048404/we-h-201-03-enthusiasm-and-generosity-of-spirit-necessitate-a-volunteering-structure-to-make-them-more-meaningful
#20
Y Pipman
: The desperate need for radiotherapy in low and mid-income countries (LMICs) has been well documented. Roughly 60 % of the worldwide incidence of cancer occurs in these resource-limited settings and the international community alongside governmental and non-profit agencies have begun publishing reports and seeking help from qualified volunteers. However, the focus of several reports has been on how dire the situation is and the magnitude of the problem, leaving most to feel overwhelmed and unsure as to how to help and why to get involved...
June 2016: Medical Physics
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