keyword
MENU ▼
Read by QxMD icon Read
search

Decision fatigue

keyword
https://www.readbyqxmd.com/read/28432593/talking-about-breast-cancer-which-symptoms-and-treatment-side-effects-are-important-to-patients-with-advanced-disease
#1
Anna Niklasson, Jean Paty, Anna Rydén
BACKGROUND: Patients' experience of symptoms and associated treatment is an increasingly important consideration in both regulatory and health technology assessments, and can inform treatment decisions. OBJECTIVE: This study aimed to gain insight directly from patients with advanced breast cancer about which symptoms and treatment side effects are important to them. METHODS: Women with locally advanced or metastatic breast cancer were interviewed individually by trained interviewers, using a semi-structured interview guide...
April 21, 2017: Patient
https://www.readbyqxmd.com/read/28420352/assessing-the-reliability-of-self-reported-weight-for-the-management-of-heart-failure-application-of-fraud-detection-methods-to-a-randomised-trial-of-telemonitoring
#2
Adam Steventon, Sarwat I Chaudhry, Zhenqiu Lin, Jennifer A Mattera, Harlan M Krumholz
BACKGROUND: Since clinical management of heart failure relies on weights that are self-reported by the patient, errors in reporting will negatively impact the ability of health care professionals to offer timely and effective preventive care. Errors might often result from rounding, or more generally from individual preferences for numbers ending in certain digits, such as 0 or 5. We apply fraud detection methods to assess preferences for numbers ending in these digits in order to inform medical decision making...
April 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28400716/evaluation-of-the-display-of-cognitive-state-feedback-to-drive-adaptive-task-sharing
#3
Michael C Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D Whitlow, Martijn Beekhuyzen
This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28395667/effects-of-workload-work-complexity-and-repeated-alerts-on-alert-fatigue-in-a-clinical-decision-support-system
#4
Jessica S Ancker, Alison Edwards, Sarah Nosal, Diane Hauser, Elizabeth Mauer, Rainu Kaushal
BACKGROUND: Although alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time. METHODS: Retrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians...
April 10, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28388975/psychosocial-work-stressors-work-fatigue-and-musculoskeletal-disorders-comparison-between-emergency-and-critical-care-nurses-in-brunei-public-hospitals
#5
Hanif Abdul Rahman, Khadizah Abdul-Mumin, Lin Naing
PURPOSE: Little evidence estimated the exposure of psychosocial work stressors, work-related fatigue, and musculoskeletal disorders for nurses working in South-East Asian region, and research on this subject is almost nonexistent in Brunei. The main aim of our study was to provide a comprehensive exploration and estimate exposure of the study variables amongst emergency (ER) and critical care (CC) nurses in Brunei. The study also aims to compare whether experiences of ER nurses differ from those of CC nurses...
March 2017: Asian Nursing Research
https://www.readbyqxmd.com/read/28383991/measuring-and-filtering-reactive-inhibition-is-essential-for-assessing-serial-decision-making-and-learning
#6
Balázs Török, Karolina Janacsek, Dávid G Nagy, Gergő Orbán, Dezso Nemeth
Learning complex structures from stimuli requires extended exposure and often repeated observation of the same stimuli. Learning induces stimulus-dependent changes in specific performance measures. The same performance measures, however, can also be affected by processes that arise because of extended training (e.g., fatigue) but are otherwise independent from learning. Thus, a thorough assessment of the properties of learning can only be achieved by identifying and accounting for the effects of such processes...
April 2017: Journal of Experimental Psychology. General
https://www.readbyqxmd.com/read/28373651/fatigue-modulates-dopamine-availability-and-promotes-flexible-choice-reversals-during-decision-making
#7
Pierpaolo Iodice, Claudio Ferrante, Luigi Brunetti, Simona Cabib, Feliciano Protasi, Mark E Walton, Giovanni Pezzulo
During decisions, animals balance goal achievement and effort management. Despite physical exercise and fatigue significantly affecting the levels of effort that an animal exerts to obtain a reward, their role in effort-based choice and the underlying neurochemistry are incompletely known. In particular, it is unclear whether fatigue influences decision (cost-benefit) strategies flexibly or only post-decision action execution and learning. To answer this question, we trained mice on a T-maze task in which they chose between a high-cost, high-reward arm (HR), which included a barrier, and a low-cost, low-reward arm (LR), with no barrier...
April 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28366592/patients-preferences-for-the-treatment-of-metastatic-castrate-resistant-prostate-cancer-a-discrete-choice-experiment
#8
Lina Eliasson, Hayley M de Freitas, Lindsay Dearden, Brian Calimlim, Andrew J Lloyd
PURPOSE: Patient treatment preferences are increasingly being used to inform health care decision making. This discrete choice experiment assessed how men perceive the risks and benefits of hypothetical treatment options for metastatic castrate-resistant prostate cancer (mCRPC). METHODS: Treatment attributes for inclusion were identified through a review of the literature and product labels. Expert interviews confirmed clinical appropriateness and patient relevance of the attributes, which included effectiveness (delay in months before chemotherapy), steroid use, possible drug interactions (additional hospital visits for monitoring), fogginess (effects on cognition and memory), fatigue (extreme tiredness), food restrictions, and bone pain...
March 30, 2017: Clinical Therapeutics
https://www.readbyqxmd.com/read/28356145/adoption-of-innovative-and-evidence-based-practices-for-children-and-adolescents-in-state-supported-mental-health-clinics-a-qualitative-study
#9
Lawrence A Palinkas, Mee Young Um, Chung Hyeon Jeong, Ka Ho Brian Chor, Serene Olin, Sarah M Horwitz, Kimberly E Hoagwood
BACKGROUND: This study examined how mental health clinic administrators decided whether or not to adopt evidence-based and other innovative practices by exploring their views of implementation barriers and facilitators and operation of these views in assessment of implementation costs and benefits. METHODS: Semi-structured interviews were conducted with 75 agency chief executive officers and program directors of 34 New York State-licensed mental health clinics serving children and adolescents...
March 29, 2017: Health Research Policy and Systems
https://www.readbyqxmd.com/read/28353684/posture-detection-based-on-smart-cushion-for-wheelchair-users
#10
Congcong Ma, Wenfeng Li, Raffaele Gravina, Giancarlo Fortino
The postures of wheelchair users can reveal their sitting habit, mood, and even predict health risks such as pressure ulcers or lower back pain. Mining the hidden information of the postures can reveal their wellness and general health conditions. In this paper, a cushion-based posture recognition system is used to process pressure sensor signals for the detection of user's posture in the wheelchair. The proposed posture detection method is composed of three main steps: data level classification for posture detection, backward selection of sensor configuration, and recognition results compared with previous literature...
March 29, 2017: Sensors
https://www.readbyqxmd.com/read/28339900/electronic-clinical-decision-support-for-blood-product-ordering-reduces-unnecessary-transfusion-but-may-induce-alert-fatigue
#11
Jeffrey Papiernik, Ji Won Ahn, Ronald Jackups
No abstract text is available yet for this article.
March 1, 2017: American Journal of Clinical Pathology
https://www.readbyqxmd.com/read/28330787/acute-impact-of-caffeinated-alcoholic-beverages-on-cognition-a-systematic-review
#12
REVIEW
Laurence Lalanne, Pierre-Eric Lutz, François Paille
INTRODUCTION: Energy drinks are popular beverages that are supposed to counteract sleepiness, increase energy, maintain alertness and reduce symptoms of hangover. Cognitive enhancing seems to be related to many compounds such as caffeine, taurine and vitamins. Currently, users mostly combine psychostimulant effects of energy drinks to counteract sedative effects of alcohol. However, recent literature suggests that this combination conducts to feel less intoxicated but still impaired. The goal of the present article is to review cognitive impact and subjective awareness in case of caffeinated alcoholic beverage (CAB) intoxication...
March 19, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28296272/ergonomic-analysis-of-the-surgical-position-in-functional-endoscopic-sinus-surgery
#13
Vijay R Ramakrishnan, Benjamin M Milam
BACKGROUND: Ergonomics is the methodologic study of people's efficiency in their work environment and is based on anatomy, physiology, psychology, and engineering. Although highly studied in other work environments, little attention has been paid to surgeons until the landmark survey by Park et al in 2010. Many unique aspects of endoscopic surgery amplify task-related physical discomfort, and, because of these issues, we aimed to study the physical fatigue effects of functional endoscopic sinus surgery (FESS) performed in the standing and sitting positions...
March 15, 2017: International Forum of Allergy & Rhinology
https://www.readbyqxmd.com/read/28268447/eeg-based-driver-fatigue-detection-using-hybrid-deep-generic-model
#14
Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen
Classification of electroencephalography (EEG)-based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent decades. In this paper, a hybrid deep generic model (DGM)-based support vector machine is proposed for accurate detection of driver fatigue. Traditionally, a probabilistic DGM with deep architecture is quite good at learning invariant features, but it is not always optimal for classification due to its trainable parameters are in the middle layer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28257094/online-detection-of-driver-fatigue-using-steering-wheel-angles-for-real-driving-conditions
#15
Zuojin Li, Shengbo Eben Li, Renjie Li, Bo Cheng, Jinliang Shi
This paper presents a drowsiness on-line detection system for monitoring driver fatigue level under real driving conditions, based on the data of steering wheel angles (SWA) collected from sensors mounted on the steering lever. The proposed system firstly extracts approximate entropy (ApEn)featuresfromfixedslidingwindowsonreal-timesteeringwheelanglestimeseries. Afterthat, this system linearizes the ApEn features series through an adaptive piecewise linear fitting using a given deviation. Then, the detection system calculates the warping distance between the linear features series of the sample data...
March 2, 2017: Sensors
https://www.readbyqxmd.com/read/28247220/what-quality-of-life-issues-do-women-with-ductal-carcinoma-in-situ-dcis-consider-important-when-making-treatment-decisions
#16
Rebecca Mercieca-Bebber, Madeleine T King, Miriam M Boxer, Andrew Spillane, Zoë E Winters, Phyllis N Butow, Joan McPherson, Claudia Rutherford
PURPOSE: To explore quality-of-life (QOL) issues considered important when deciding on treatment for ductal carcinoma in situ (DCIS). METHODS: Breast Cancer Network of Australia members diagnosed with DCIS in the past 5 years (self-identified) participated in an online survey (Sep-Nov 2015). From a list of 74 QOL issues, participants selected all issues they experienced during DCIS diagnosis, treatment or recovery, then the issues they felt important to making a DCIS treatment decision, and completed the Health Literacy Questionnaire (HLQ)...
February 28, 2017: Breast Cancer: the Journal of the Japanese Breast Cancer Society
https://www.readbyqxmd.com/read/28244184/exploring-nurse-leader-fatigue-a-mixed-methods-study
#17
Linsey M Steege, Barbara J Pinekenstein, Élise Arsenault Knudsen, Jessica G Rainbow
AIM: To describe hospital nurse leaders' experiences of fatigue. BACKGROUND: Fatigue is a critical challenge in nursing. Existing literature focuses on staff nurse fatigue, yet nurse leaders are exposed to high demands that may contribute to fatigue and associated risks to patient, nurse and organisational outcomes. METHODS: A mixed method approach comprising semi-structured interviews and the Occupational Fatigue Exhaustion Recovery scale with 21 nurse administrators (10 nurse managers and 11 nurse executives) from hospitals in a Midwestern state...
February 27, 2017: Journal of Nursing Management
https://www.readbyqxmd.com/read/28238554/developing-a-set-of-core-outcomes-for-trials-in-hemodialysis-an-international-delphi-survey
#18
Nicole Evangelidis, Allison Tong, Braden Manns, Brenda Hemmelgarn, David C Wheeler, Peter Tugwell, Sally Crowe, Tess Harris, Wim Van Biesen, Wolfgang C Winkelmayer, Benedicte Sautenet, Donal O'Donoghue, Helen Tam-Tham, Sajeda Youssouf, Sreedhar Mandayam, Angela Ju, Carmel Hawley, Carol Pollock, David C Harris, David W Johnson, Dena E Rifkin, Francesca Tentori, John Agar, Kevan R Polkinghorne, Martin Gallagher, Peter G Kerr, Stephen P McDonald, Kirsten Howard, Martin Howell, Jonathan C Craig
BACKGROUND: Survival and quality of life for patients on hemodialysis therapy remain poor despite substantial research efforts. Existing trials often report surrogate outcomes that may not be relevant to patients and clinicians. The aim of this project was to generate a consensus-based prioritized list of core outcomes for trials in hemodialysis. STUDY DESIGN: In a Delphi survey, participants rated the importance of outcomes using a 9-point Likert scale in round 1 and then re-rated outcomes in rounds 2 and 3 after reviewing other respondents' scores...
February 23, 2017: American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation
https://www.readbyqxmd.com/read/28226618/eeg-based-driver-fatigue-detection-using-hybrid-deep-generic-model
#19
Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen, Phyo Phyo San, Sai Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung Nguyen, Ashley Craig, Sai Ho Ling, Hung Nguyen, Phyo Phyo San, Yvonne Tran, Rifai Chai
Classification of electroencephalography (EEG)-based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent decades. In this paper, a hybrid deep generic model (DGM)-based support vector machine is proposed for accurate detection of driver fatigue. Traditionally, a probabilistic DGM with deep architecture is quite good at learning invariant features, but it is not always optimal for classification due to its trainable parameters are in the middle layer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28210999/computational-cognitive-modeling-of-the-temporal-dynamics-of-fatigue-from-sleep-loss
#20
Matthew M Walsh, Glenn Gunzelmann, Hans P A Van Dongen
Computational models have become common tools in psychology. They provide quantitative instantiations of theories that seek to explain the functioning of the human mind. In this paper, we focus on identifying deep theoretical similarities between two very different models. Both models are concerned with how fatigue from sleep loss impacts cognitive processing. The first is based on the diffusion model and posits that fatigue decreases the drift rate of the diffusion process. The second is based on the Adaptive Control of Thought - Rational (ACT-R) cognitive architecture and posits that fatigue decreases the utility of candidate actions leading to microlapses in cognitive processing...
February 16, 2017: Psychonomic Bulletin & Review
keyword
keyword
103165
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"