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https://www.readbyqxmd.com/read/28430978/culture-matters-indigenizing-patient-safety-in-bhutan
#1
Rinchen Pelzang, Megan-Jane Johnstone, Alison M Hutchinson
Studies show that if quality of healthcare in a country is to be achieved, due consideration must be given to the importance of the core cultural values as a critical factor in improving patient safety outcomes. The influence of Bhutan's traditional (core) cultural values on the attitudes and behaviours of healthcare professionals regarding patient care are not known. This study aimed to explore the possible influence of Bhutan's traditional cultural values on staff attitudes towards patient safety and quality care...
April 17, 2017: Health Policy and Planning
https://www.readbyqxmd.com/read/28430545/effects-of-motivation-rewarding-hackers-for-undetected-attacks-cause-analysts-to-perform-poorly
#2
Zahid Maqbool, Nidhi Makhijani, V S Chandrasekhar Pammi, Varun Dutt
OBJECTIVE: The aim of this study was to determine how monetary motivations influence decision making of humans performing as security analysts and hackers in a cybersecurity game. BACKGROUND: Cyberattacks are increasing at an alarming rate. As cyberattacks often cause damage to existing cyber infrastructures, it is important to understand how monetary rewards may influence decision making of hackers and analysts in the cyber world. Currently, only limited attention has been given to this area...
May 2017: Human Factors
https://www.readbyqxmd.com/read/28429830/establishment-and-evaluation-of-a-novel-biomarker-based-nomogram-for-malignant-phaeochromocytomas-and-paragangliomas
#3
Xu Zhong, Lei Ye, TingWei Su, Jing Xie, Weiwei Zhou, Yiran Jiang, Lei Jiang, Guang Ning, Weiqing Wang
OBJECTIVE: No single histological or molecular marker is diagnostic for malignant phaeochromocytomas and paragangliomas (PPGLs). This study aimed to establish and evaluate a prognostic nomogram to improve the prediction of metastatic probability in individual PPGL patients. METHODS: Three hundred and forty-seven consecutive PPGL patients from January 2002 through December 2014 were randomly divided into a training set (n=208) and a validation set (n=139). A multivariate logistic regression analysis of selected prognostic features was performed, and a nomogram to predict metastasis was constructed...
April 21, 2017: Clinical Endocrinology
https://www.readbyqxmd.com/read/28429056/prognostic-significance-of-supradiaphragmatic-lymph-nodes-at-initial-presentation-in-patients-with-stage-iii-high-grade-serous-ovarian-cancer
#4
L J McIntosh, A C O'Neill, S Bhanusupriya, S A Matalon, A D Van den Abbeele, N H Ramaiya, A B Shinagare
PURPOSE: To identify the optimal size threshold and to assess the prognostic significance of supradiaphragmatic lymph nodes at initial presentation of patients with high-grade serous ovarian cancer (HGSC). METHODS: This IRB-approved, HIPAA-compliant retrospective study included baseline pretreatment staging abdominal CTs of 88 women (mean age 62 years, SD 10.4, range 29-85) with FIGO stage III HGSC. Patients with stage IV disease were excluded due to worse prognosis and management guided by distant metastases...
April 20, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28428140/automated-annotation-and-classification-of-bi-rads-assessment-from-radiology-reports
#5
Sergio M Castro, Eugene Tseytlin, Olga Medvedeva, Kevin Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S Jacobson
The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities. The objective of this study is to develop a natural language processing (NLP) system for automated BI-RADS categories extraction from breast radiology reports. We evaluated an existing rule-based NLP algorithm, and then we developed and evaluated our own method using a supervised machine learning approach...
April 17, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28427338/-working-is-out-of-the-question-a-qualitative-text-analysis-of-medical-certificates-of-disability
#6
Guri Aarseth, Bård Natvig, Eivind Engebretsen, Anne Kveim Lie
BACKGROUND: Medical certificates influence the distribution of economic benefits in welfare states; however, the qualitative aspects of these texts remain largely unexplored. The present study is the first systematic investigation done of these texts. Our aim was to investigate how GPs select and mediate information about their patients' health and how they support their conclusions about illness, functioning and fitness for work in medical certificates. METHODS: We performed a textual analysis of thirty-three medical certificates produced by general practitioners (GP) in Norway at the request of the Norwegian Labour and Welfare Administration (NAV)...
April 20, 2017: BMC Family Practice
https://www.readbyqxmd.com/read/28426597/accommodating-immigrant-women-s-preferences-for-female-health-care-providers
#7
Christa Aubrey, Zubia Mumtaz, Patrick B Patterson, Radha Chari, B F Peter Mitchell
OBJECTIVE: To investigate obstetricians' perspectives of the importance, effect, and challenges of providing intrapartum care to immigrant women who request a female obstetrician. METHODS: A focused ethnography was conducted at a large teaching hospital, which serves a high proportion of immigrant clientele (predominantly North or East African, Middle Eastern, and South Asian) in Edmonton, Alberta, Canada. Data collection comprised single, semistructured interviews with a purposive sample of 20 obstetric health care providers (10 resident and 10 staff obstetricians)...
May 2017: Obstetrics and Gynecology
https://www.readbyqxmd.com/read/28426438/perceptions-and-attitudes-of-romanian-people-toward-autopsy-procedures-according-to-the-level-of-knowledge
#8
Daniela Marinescu, Gellért Attila Gyurka, Roxana Miclăuş, Codruţa Nemet, Liliana Rogozea
In the last decade, Romanian hospitals have been facing a decline in autopsy rates. This has had a negative impact on medical education and the training of young doctors. Quite a number of caregivers strongly oppose the carrying out of autopsies on their deceased loved ones who have died in hospital. Hence, this study was designed to evaluate how autopsies are perceived by an average person and whether improved knowledge about autopsies would help reduce people's reluctance toward them. The study involved 216 willing participants who had either never had a loved one die in hospital or had never had the power to make a decision about their dead loved ones' body...
April 20, 2017: American Journal of Forensic Medicine and Pathology
https://www.readbyqxmd.com/read/28425947/deep-count-fruit-counting-based-on-deep-simulated-learning
#9
Maryam Rahnemoonfar, Clay Sheppard
Recent years have witnessed significant advancement in computer vision research based on deep learning. Success of these tasks largely depends on the availability of a large amount of training samples. Labeling the training samples is an expensive process. In this paper, we present a simulated deep convolutional neural network for yield estimation. Knowing the exact number of fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, and the size of harvest labor force...
April 20, 2017: Sensors
https://www.readbyqxmd.com/read/28424788/fully-automated-robust-system-to-detect-retinal-edema-central-serous-chorioretinopathy-and-age-related-macular-degeneration-from-optical-coherence-tomography-images
#10
Samina Khalid, M Usman Akram, Taimur Hassan, Ammara Nasim, Amina Jameel
Maculopathy is the excessive damage to macula that leads to blindness. It mostly occurs due to retinal edema (RE), central serous chorioretinopathy (CSCR), or age related macular degeneration (ARMD). Optical coherence tomography (OCT) imaging is the latest eye testing technique that can detect these syndromes in early stages. Many researchers have used OCT images to detect retinal abnormalities. However, to the best of our knowledge, no research that presents a fully automated system to detect all of these macular syndromes is reported...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28424766/the-need-for-hematology-nurse-education-in-low-and-middle-income-countries-a-community-case-study-in-tanzania
#11
Julie M Buser
Hematology-related diseases, such as anemia, malaria, sickle cell disease (SCD), and blood cancers, have differing rates of survival between high-income and low- and middle-income countries (LMICs). Nurses in LMICs have an unmet need for specialty training and education to address hematology and hemato-oncology disorders. A gap in the literature exists about hematology nurse education and clinical service demands in LMICs. This community case study documents a collaborative hematology and basic hemato-oncology education program to sustainably strengthen nurse capacity at a national referral hospital and university in Tanzania...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28422666/efficient-knn-classification-with-different-numbers-of-nearest-neighbors
#12
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang
k nearest neighbor (kNN) method is a popular classification method in data mining and statistics because of its simple implementation and significant classification performance. However, it is impractical for traditional kNN methods to assign a fixed k value (even though set by experts) to all test samples. Previous solutions assign different k values to different test samples by the cross validation method but are usually time-consuming. This paper proposes a kTree method to learn different optimal k values for different test/new samples, by involving a training stage in the kNN classification...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28421566/precision-global-health-in-the-digital-age
#13
Antoine Flahault, Antoine Geissbuhler, Idris Guessous, Philippe Guérin, Isabelle Bolon, Marcel Salathé, Gérard Escher
Precision global health is an approach similar to precision medicine, which facilitates, through innovation and technology, better targeting of public health interventions on a global scale, for the purpose of maximising their effectiveness and relevance. Illustrative examples include: the use of remote sensing data to fight vector-borne diseases; large databases of genomic sequences of foodborne pathogens helping to identify origins of outbreaks; social networks and internet search engines for tracking communicable diseases; cell phone data in humanitarian actions; drones to deliver healthcare services in remote and secluded areas...
April 19, 2017: Swiss Medical Weekly
https://www.readbyqxmd.com/read/28421298/dog-rivalry-impacts-following-behavior-in-a-decision-making-task-involving-food
#14
Christy L Hoffman, Malini Suchak
Dogs learn a great deal from humans and other dogs. Previous studies of socially influenced learning between dogs have typically used a highly trained demonstrator dog who is unfamiliar to the observer. Because of this, it is unknown how dynamics between familiar dogs may influence their likelihood of learning from each other. In this study, we tested dogs living together in two-dog households on whether individual dogs' rivalry scores were associated with performance on a local enhancement task. Specifically, we wanted to know whether dog rivalry impacted whether an observer dog would approach a plate from which a demonstrator dog had eaten all available food, or whether the observer dog would approach the adjacent plate that still contained food...
April 18, 2017: Animal Cognition
https://www.readbyqxmd.com/read/28420365/social-determinants-of-antibiotic-misuse-a-qualitative-study-of-community-members-in-haryana-india
#15
Anna K Barker, Kelli Brown, Muneeb Ahsan, Sharmila Sengupta, Nasia Safdar
BACKGROUND: Antibiotic resistance is a global public health crisis. In India alone, multi-drug resistant organisms are responsible for over 58,000 infant deaths each year. A major driver of drug resistance is antibiotic misuse, which is a pervasive phenomenon worldwide. Due to a shortage of trained doctors, access to licensed allopathic doctors is limited in India's villages. Pharmacists and unlicensed medical providers are commonly the primary sources of healthcare. Patients themselves are also key participants in the decision to treat an illness with antibiotics...
April 19, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28420250/the-european-association-of-preventive-cardiology-exercise-prescription-in-everyday-practice-and-rehabilitative-training-expert-tool-a-digital-training-and-decision-support-system-for-optimized-exercise-prescription-in-cardiovascular-disease-concept-definitions
#16
Dominique Hansen, Paul Dendale, Karin Coninx, Luc Vanhees, Massimo F Piepoli, Josef Niebauer, Veronique Cornelissen, Roberto Pedretti, Eva Geurts, Gustavo R Ruiz, Ugo Corrà, Jean-Paul Schmid, Eugenio Greco, Constantinos H Davos, Frank Edelmann, Ana Abreu, Bernhard Rauch, Marco Ambrosetti, Simona S Braga, Olga Barna, Paul Beckers, Maurizio Bussotti, Robert Fagard, Pompilio Faggiano, Esteban Garcia-Porrero, Evangelia Kouidi, Michel Lamotte, Daniel Neunhäuserer, Rona Reibis, Martijn A Spruit, Christoph Stettler, Tim Takken, Cajsa Tonoli, Carlo Vigorito, Heinz Völler, Patrick Doherty
Background Exercise rehabilitation is highly recommended by current guidelines on prevention of cardiovascular disease, but its implementation is still poor. Many clinicians experience difficulties in prescribing exercise in the presence of different concomitant cardiovascular diseases and risk factors within the same patient. It was aimed to develop a digital training and decision support system for exercise prescription in cardiovascular disease patients in clinical practice: the European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool...
January 1, 2017: European Journal of Preventive Cardiology
https://www.readbyqxmd.com/read/28420194/multiple-objects-fusion-tracker-using-a-matching-network-for-adaptively-represented-instance-pairs
#17
Sang-Il Oh, Hang-Bong Kang
Multiple-object tracking is affected by various sources of distortion, such as occlusion, illumination variations and motion changes. Overcoming these distortions by tracking on RGB frames, such as shifting, has limitations because of material distortions caused by RGB frames. To overcome these distortions, we propose a multiple-object fusion tracker (MOFT), which uses a combination of 3D point clouds and corresponding RGB frames. The MOFT uses a matching function initialized on large-scale external sequences to determine which candidates in the current frame match with the target object in the previous frame...
April 18, 2017: Sensors
https://www.readbyqxmd.com/read/28419461/assent-in-pediatric-patients
#18
Jean C Self, Jennifer A Coddington, Karen J Foli, Melanie L Braswell
AIM: To report an analysis of the concept of pediatric assent. BACKGROUND: The concept of assent is poorly defined in current literature which may lead to potentially flawed practices in obtaining pediatric assent. DESIGN: The Walker and Avant (2011) method is used to provide clarity to the concept of pediatric assent. DATA SOURCES: Data were collected from PubMed, Academic Search Premier, PhilPapers, Wikipedia, and Google...
April 17, 2017: Nursing Forum
https://www.readbyqxmd.com/read/28419287/prediction-algorithm-for-surgical-intervention-in-neonatal-brachial-plexus-palsy
#19
Thomas J Wilson, Kate W C Chang, Lynda J S Yang
BACKGROUND: Neonatal brachial plexus palsy (NBPP) results in reduced function of the affected arm with profound ramifications on quality of life. Advances in surgical technique have shown improvements in outcomes for appropriately selected patients. Patient selection, however, remains difficult. OBJECTIVE: To develop a decision algorithm that could be applied at the individual patient level, early in life, to reliably predict persistent NBPP that would benefit from surgery...
April 17, 2017: Neurosurgery
https://www.readbyqxmd.com/read/28419025/ensemble-methods-for-classification-of-physical-activities-from-wrist-accelerometry
#20
Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, Stewart G Trost
PURPOSE: To investigate whether the use of ensemble learning algorithms improve physical activity recognition accuracy compared to the single classifier algorithms, and to compare the classification accuracy achieved by three conventional ensemble machine learning methods (bagging, boosting, random forest) and a custom ensemble model comprising four algorithms commonly used for activity recognition (binary decision tree, k nearest neighbour, support vector machine, and neural network)...
April 18, 2017: Medicine and Science in Sports and Exercise
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