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https://www.readbyqxmd.com/read/28935225/heart-rate-variability-biofeedback-and-other-psychophysiological-procedures-as-important-elements-in-psychotherapy
#1
REVIEW
Paul Lehrer
Lang's distinction of psychophysiological, behavioral, and cognitive domains in psychological problems and therapies provides a useful heuristic for guiding psychotherapy. Much psychotherapy practice emphasizes the cognitive domain, but behavioral and psychophysiological interventions show at least equivalent effectiveness for some kinds of problems. Most descriptions of cognitive behavior therapy emphasize cognitive procedures, although most CBT approaches also incorporate behavioral interventions such as social skills training, exposure, and behavior activation...
September 18, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28922133/aligning-event-logs-to-task-time-matrix-clinical-pathways-in-bpmn-for-variance-analysis
#2
Hui Yan, Pieter Van Gorp, Uzay Kaymak, Xudong Lu, Lei Ji, Choo Chiap Chiau, Hendriks H M Korsten, Huilong Duan
Clinical pathways (CPs) are popular healthcare management tools to standardise care and ensure quality. Analysing CP compliance levels and variances is known to be useful for training and CP redesign purposes. Flexible semantics of the Business Process Model and Notation (BPMN) language has been shown to be useful for the modeling and analysis of complex protocols. However, in practical cases one may want to exploit that CPs often have the form of Task-Time matrices. This paper presents a new method parsing complex BPMN models and aligning traces to the models heuristically...
September 18, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28919539/the-nexus-between-the-documentation-of-end-of-life-wishes-and-awareness-of-dying-a-model-for-research-education-and-care
#3
Deborah P Waldrop, Jacqueline M McGinley, Brian Clemency
The convergence of medical treatment that can extend life with written medical orders that make it possible to refuse such treatment brings the differential dynamics of contemporary end-of-life decision-making into sharp focus. Communication between families and clinicians can be confusing, uncertain and pressured when death is imminent. These situations create distress that ultimately influences the end-of-life experience for people who are dying and those who care for them. This paper presents the analysis of the decisional dynamics that emerge from the intersection of the patient-family-provider awareness that death is near with the presence or absence of documentation of expressed wishes for end-of-life care...
September 14, 2017: Journal of Pain and Symptom Management
https://www.readbyqxmd.com/read/28841894/an-exploration-of-group-based-hiv-aids-treatment-and-care-models-in-sub-saharan-africa-using-a-realist-evaluation-intervention-context-actor-mechanism-outcome-heuristic-tool-a-systematic-review
#4
REVIEW
Ferdinand C Mukumbang, Sara Van Belle, Bruno Marchal, Brian van Wyk
INTRODUCTION: It is increasingly acknowledged that differentiated care models hold potential to manage large volumes of patients on antiretroviral therapy (ART). Various group-based models of ART service delivery aimed at decongesting local health facilities, encouraging patient retention in care, and enhancing adherence to medication have been implemented across sub-Saharan Africa. Evidence from the literature suggests that these models of ART service delivery are more effective than corresponding facility-based care and superior to individual-based models...
August 25, 2017: Implementation Science: IS
https://www.readbyqxmd.com/read/28816837/individualizing-thresholds-of-cerebral-perfusion-pressure-using-estimated-limits-of-autoregulation
#5
Joseph Donnelly, Marek Czosnyka, Hadie Adams, Chiara Robba, Luzius A Steiner, Danilo Cardim, Brenno Cabella, Xiuyun Liu, Ari Ercole, Peter John Hutchinson, David Krishna Menon, Marcel J H Aries, Peter Smielewski
OBJECTIVES: In severe traumatic brain injury, cerebral perfusion pressure management based on cerebrovascular pressure reactivity index has the potential to provide a personalized treatment target to improve patient outcomes. So far, the methods have focused on identifying "one" autoregulation-guided cerebral perfusion pressure target-called "cerebral perfusion pressure optimal". We investigated whether a cerebral perfusion pressure autoregulation range-which uses a continuous estimation of the "lower" and "upper" cerebral perfusion pressure limits of cerebrovascular pressure autoregulation (assessed with pressure reactivity index)-has prognostic value...
September 2017: Critical Care Medicine
https://www.readbyqxmd.com/read/28802837/development-of-simulation-optimization-methods-for-solving-patient-referral-problems-in-the-hospital-collaboration-environment
#6
Ping-Shun Chen, Ming-Han Lin
This research studied a patient referral problem among multiple cooperative hospitals for sharing imaging services' referrals. The proposed problem consisted of many types of patients and the uncertainty associated with the number of patients of each type, patients' arrival time, and patients' medical operation time, leading to a difficulty in finding solutions due to the uncertain environment. This research used system simulation to construct a model and develop a simulation optimization method, combining the heuristic algorithm (patient referral mechanism) with the particle swarm optimization (PSO) method, to determine a better way to refer patients from one hospital (referring hospital) to another (recipient hospital) to receive certain imaging services...
August 9, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28753613/adaptive-swarm-balancing-algorithms-for-rare-event-prediction-in-imbalanced-healthcare-data
#7
Jinyan Li, Lian-Sheng Liu, Simon Fong, Raymond K Wong, Sabah Mohammed, Jinan Fiaidhi, Yunsick Sung, Kelvin K L Wong
Clinical data analysis and forecasting have made substantial contributions to disease control, prevention and detection. However, such data usually suffer from highly imbalanced samples in class distributions. In this paper, we aim to formulate effective methods to rebalance binary imbalanced dataset, where the positive samples take up only the minority. We investigate two different meta-heuristic algorithms, particle swarm optimization and bat algorithm, and apply them to empower the effects of synthetic minority over-sampling technique (SMOTE) for pre-processing the datasets...
2017: PloS One
https://www.readbyqxmd.com/read/28753383/quantifying-heuristic-bias-anchoring-availability-and-representativeness
#8
Megan Richie, S Andrew Josephson
Construct: Authors examined whether a new vignette-based instrument could isolate and quantify heuristic bias. BACKGROUND: Heuristics are cognitive shortcuts that may introduce bias and contribute to error. There is no standardized instrument available to quantify heuristic bias in clinical decision making, limiting future study of educational interventions designed to improve calibration of medical decisions. This study presents validity data to support a vignette-based instrument quantifying bias due to the anchoring, availability, and representativeness heuristics...
July 28, 2017: Teaching and Learning in Medicine
https://www.readbyqxmd.com/read/28748429/admission-control-policies-for-surgery-patients
#9
Li Luo, Yong Luo, Chunrong Qin
In China, day surgery has been promoted because its operation time and post-operative hospital stay are shorter than those of elective surgery. Day surgery can speed up the turnover of beds and operation rooms. Usually, the conditions of elective surgery patients are more complicated than those of day surgery patients. The development of the discipline, which means that the hospital has improved the skills of the doctors and the ability of doctors to cope with serious diseases and has increased the overall medical level of the hospital, requires surgeons to operate in some complicated elective surgeries...
August 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28718079/symptom-self-management-strategies-reported-by-adolescents-and-young-adults-with-cancer-receiving-chemotherapy
#10
Lauri A Linder, Jeanne M Erickson, Kristin Stegenga, Catherine Fiona Macpherson, Sarah Wawrzynski, Christina Wilson, Suzanne Ameringer
PURPOSE: Adolescents and young adults (AYAs) with cancer experience multiple symptoms related to their cancer and its treatment which can negatively impact their development and quality of life. An understanding of the strategies AYAs use to self-manage their symptoms is limited. This study described symptom self-management strategies reported by AYAs with cancer using an iPad-based symptom heuristics tool, the Computerized Symptom Capture Tool. METHODS: The study used a cross-sectional, descriptive design...
July 17, 2017: Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer
https://www.readbyqxmd.com/read/28682268/assessment-of-homomorphic-analysis-for-human-activity-recognition-from-acceleration-signals
#11
Sebastian Rodrigo Vanrell, Diego Humberto Milone, Hugo Leonardo Rufiner
Unobtrusive activity monitoring can provide valuable information for medical and sports applications. In recent years, human activity recognition has moved to wearable sensors to deal with unconstrained scenarios. Accelerometers are the preferred sensors due to their simplicity and availability. Previous studies have examined several \azul{classic} techniques for extracting features from acceleration signals, including time-domain, time-frequency, frequency-domain, and other heuristic features. Spectral and temporal features are the preferred ones and they are generally computed from acceleration components, leaving the acceleration magnitude potential unexplored...
July 3, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28682189/perspectives-of-young-chinese-singaporean-women-on-seeking-and-processing-information-to-decide-about-vaccinating-against-human-papillomavirus-hpv
#12
Iccha Basnyat, Cheryl Lim
Human papillomavirus (HPV) vaccination uptake in Singapore is low among young women. Low uptake has been found to be linked to low awareness. Thus, this study aimed to understand active and passive vaccine information-seeking behavior. Furthermore, guided by the Elaboration Likelihood Model (ELM), this study examined young women's (aged 21-26 years) processing of information they acquired in their decision to get vaccinated. ELM postulates that information processing could be through the central (i.e., logic-based) or peripheral (i...
July 6, 2017: Women & Health
https://www.readbyqxmd.com/read/28671914/assessment-of-automating-safety-surveillance-from-electronic-health-records-analysis-for-the-quality-and-safety-review-system
#13
Allan Fong, Katharine Adams, Anita Samarth, Laura McQueen, Manan Trivedi, Tahleah Chappel, Erin Grace, Susan Terrillion, Raj M Ratwani
BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event data, the Agency for Healthcare Research and Quality is developing and testing a patient safety surveillance system called the Quality and Safety Review System (QSRS). Its current abstraction from medical records is through manual human coders, taking an average of 75 minutes to complete the review and abstraction tasks for one patient record. With many healthcare systems across the country adopting electronic health record (EHR) technology, there is tremendous potential for more efficient abstraction by automatically populating QSRS...
June 30, 2017: Journal of Patient Safety
https://www.readbyqxmd.com/read/28616775/informing-reimbursement-decisions-using-cost-effectiveness-modelling-a-guide-to-the-process-of-generating-elicited-priors-to-capture-model-uncertainties
#14
Laura Bojke, Bogdan Grigore, Dina Jankovic, Jaime Peters, Marta Soares, Ken Stein
In informing decisions, utilising health technology assessment (HTA), expert elicitation can provide valuable information, particularly where there is a less-developed evidence-base at the point of market access. In these circumstances, formal methods to elicit expert judgements are preferred to improve the accountability and transparency of the decision-making process, help reduce bias and the use of heuristics, and also provide a structure that allows uncertainty to be expressed. Expert elicitation is the process of transforming the subjective and implicit knowledge of experts into their quantifiable expressions...
June 15, 2017: PharmacoEconomics
https://www.readbyqxmd.com/read/28558674/learning-rule-sets-from-survival-data
#15
Łukasz Wróbel, Adam Gudyś, Marek Sikora
BACKGROUND: Survival analysis is an important element of reasoning from data. Applied in a number of fields, it has become particularly useful in medicine to estimate the survival rate of patients on the basis of their condition, examination results, and undergoing treatment. The recent developments in the next generation sequencing open new opportunities in survival study as they allow vast amount of genome-, transcriptome-, and proteome-related features to be investigated. These include single nucleotide and structural variants, expressions of genes and microRNAs, DNA methylation, and many others...
May 30, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28557534/the-influence-of-information-appraisals-and-information-behaviors-on-the-acceptance-of-health-information-a-study-of-television-medical-talk-shows-in-south-korea
#16
Jae-Seon Jeong, Seungyoon Lee
As television medical talk shows have become an increasingly popular source of health information, it is important to understand the processes by which people come to accept, at times unconditionally, the information presented by these shows. Based on the heuristic-systematic model (HSM), this study explores the way by which individuals process health information from television medical talk shows. Specifically, this study examines the relationship between information exposure, information appraisals (e.g., appropriateness and incoherence), information behaviors (e...
May 30, 2017: Health Communication
https://www.readbyqxmd.com/read/28554209/real-world-evidence-and-the-behavioral-economics-of-physician-prescribing
#17
Bruce Feinberg
The projections for the rising cost of healthcare have spurred robust dialogue, and among the many targets for cost control are specialty drugs. An important question thus becomes: Are behavioral economic factors driving physician prescribing? This article presents a review of leading behavioral economic theories and their application to the results of an Oncology Medical Home pilot that reversed incentives from drug administration to patient care. A host of these theories may explain the irrational economic actors in regard to physician prescribing, including heuristics, framing, and defaults...
April 2017: American Journal of Managed Care
https://www.readbyqxmd.com/read/28552971/qualitative-analysis-of-how-patients-decide-that-they-want-risk-reducing-mastectomy-and-the-implications-for-surgeons-in-responding-to-emotionally-motivated-patient-requests
#18
Stephen L Brown, Demian Whiting, Hannah G Fielden, Pooja Saini, Helen Beesley, Christopher Holcombe, Susan Holcombe, Lyn Greenhalgh, Louise Fairburn, Peter Salmon
OBJECTIVE: Contemporary approaches to medical decision-making advise that clinicians should respect patients' decisions. However, patients' decisions are often shaped by heuristics, such as being guided by emotion, rather than by objective risk and benefit. Risk-reducing mastectomy (RRM) decisions focus this dilemma sharply. RRM reduces breast cancer (BC) risk, but is invasive and can have iatrogenic consequences. Previous evidence suggests that emotion guides patients' decision-making about RRM...
2017: PloS One
https://www.readbyqxmd.com/read/28551859/cognitive-workload-reduction-in-hospital-information-systems-decision-support-for-order-set-optimization
#19
Daniel Gartner, Yiye Zhang, Rema Padman
Order sets are a critical component in hospital information systems that are expected to substantially reduce physicians' physical and cognitive workload and improve patient safety. Order sets represent time interval-clustered order items, such as medications prescribed at hospital admission, that are administered to patients during their hospital stay. In this paper, we develop a mathematical programming model and an exact and a heuristic solution procedure with the objective of minimizing physicians' cognitive workload associated with prescribing order sets...
May 27, 2017: Health Care Management Science
https://www.readbyqxmd.com/read/28550998/anticipating-anonymity-in-screening-program-databases
#20
Rafael Caballero, Sagar Sen, Jan F Nygård
In this paper, we propose a technique for improving anonymity in screening program databases to increase the privacy for the participants in these programs. The data generated by the invitation process (screening centre, appointment date) is often made available to researchers for medical research and for evaluation and improvement of the screening program. This information, combined with other personal quasi-identifiers such as the ZIP code, gender or age, can pose a risk of disclosing the identity of the individuals participating in the program, and eventually their test results...
July 2017: International Journal of Medical Informatics
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