Clinical Practice
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2021 ◽  
Vol 96 (11S) ◽  
pp. S210-S211
Author(s):  
Dimitrios Papanagnou ◽  
Nethra Ankam ◽  
David Ebbott ◽  
Deborah Ziring

2021 ◽  
Vol 28 (3) ◽  
pp. 1-4
Author(s):  
S. G. Kanorskii

The article discusses the results of a survey of doctors in the Russian Federation with the aim of studying approaches to the treatment of atrial fibrillation in real clinical practice and comparing the results obtained with the current clinical guidelines. Some new data are presented that could change the recommendations in the future; possible causes of medical errors and ways to correct them are discussed.


2021 ◽  
Vol 15 ◽  
Author(s):  
Florencia Garro ◽  
Michela Chiappalone ◽  
Stefano Buccelli ◽  
Lorenzo De Michieli ◽  
Marianna Semprini

One of the current challenges for translational rehabilitation research is to develop the strategies to deliver accurate evaluation, prediction, patient selection, and decision-making in the clinical practice. In this regard, the robot-assisted interventions have gained popularity as they can provide the objective and quantifiable assessment of the motor performance by taking the kinematics parameters into the account. Neurophysiological parameters have also been proposed for this purpose due to the novel advances in the non-invasive signal processing techniques. In addition, other parameters linked to the motor learning and brain plasticity occurring during the rehabilitation have been explored, looking for a more holistic rehabilitation approach. However, the majority of the research done in this area is still exploratory. These parameters have shown the capability to become the “biomarkers” that are defined as the quantifiable indicators of the physiological/pathological processes and the responses to the therapeutical interventions. In this view, they could be finally used for enhancing the robot-assisted treatments. While the research on the biomarkers has been growing in the last years, there is a current need for a better comprehension and quantification of the neuromechanical processes involved in the rehabilitation. In particular, there is a lack of operationalization of the potential neuromechanical biomarkers into the clinical algorithms. In this scenario, a new framework called the “Rehabilomics” has been proposed to account for the rehabilitation research that exploits the biomarkers in its design. This study provides an overview of the state-of-the-art of the biomarkers related to the robotic neurorehabilitation, focusing on the translational studies, and underlying the need to create the comprehensive approaches that have the potential to take the research on the biomarkers into the clinical practice. We then summarize some promising biomarkers that are being under investigation in the current literature and provide some examples of their current and/or potential applications in the neurorehabilitation. Finally, we outline the main challenges and future directions in the field, briefly discussing their potential evolution and prospective.


2021 ◽  
Author(s):  
Patricia Herman ◽  
Stephen Kibusi

Abstract Background Nursing professional is an art of calling which requires unconditional devotion in caring for those who are in need. Motivation to join the nursing profession is a question that warrants further study. However, there is a dramatic increase in population who join the profession as an opportunity for stable employment and benefit. Intrinsic and extrinsic key elements of motivation are to be examined to determine the art of joining the nursing profession. This study intended to assess baseline motivation in clinical learning from a quasi-experimental study that aimed to design and test the effect of an interactive web-based clinical practice monitoring system toward improving clinical meta-competencies among nursing students in Tanzania Methods This is the analysis of baseline data from an interactive web-based clinical practice monitoring system of 589 randomly selected undergraduate nursing students in Tanzania. Baseline data were collected using a self-guided questionnaire on the Academic motivation Scale adopted from previous studies. Both descriptive and inferential statistics were adopted using Statistical Product for Service Solution version 23. The confidence interval was set at 95% with a significance level of 5%. Results Findings show that 65% of the nursing students were male while 79.6% of them were younger than 24 years. Baseline finding of motivation in clinical learning revealed that 80.6% of nursing students were not motivated in clinical learning of which 19.4% of motivated nursing students, 5.3% were intrinsically motivated against 14.1% were extrinsically motivated in clinical learning. Extrinsic factors such as opportunity to travel around the world, generous salary and employment benefits, and perceiving nursing as a secure profession were significantly associated with low motivation in clinical learning (p<0.05) Conclusion The problem of low motivation in clinical learning among nursing students seems to persist among undergraduate nursing students in Tanzania. Many enrolled nursing students are forced to join the profession by extrinsic factors than intrinsic ones. This study recommends innovative clinical nursing education pedagogical in enhancing motivation in clinical learning among nursing students in Tanzania.


2021 ◽  
Vol 51 (5) ◽  
pp. 269-281
Author(s):  
Melisa Zişan Karslıoğlu ◽  
Cem Öztürkmen ◽  
Cem Kesim ◽  
Ayşe Yıldız Taş ◽  
Pınar Günel Karadeniz ◽  
...  
Keyword(s):  

2021 ◽  
Vol 23 (3) ◽  
pp. 104-112
Author(s):  
A. Yu. Dmitriev ◽  
V. G. Dashyan

In current review we represented new possibilities of intraoperative sonography introduced into clinical practice for the last 20 years. Contrast‑enhanced ultrasound and blood flow imaging (BFI) method are intended for assessment of cerebral hemodynamics. Elastosonography distinguishes tissues by differences of their density. Fusion of sonography with navigation is forwarded to brainshift reduction. Combination of ultrasound with endoscopy is effective in resection of intraventricular tumors and pituitary adenomas. Embedded three‑dimensional sonography is intended to facilitate interpretation of ultrasound results and tailoring craniotomy.


2021 ◽  
Author(s):  
Sonali P. Desai ◽  
Allen Kachalia

Attention to the quality of care within the United States health care system has grown tremendously over the past decade. We have witnessed a significant change in how quality improvement and clinical performance measurement are approached. The current focus on quality and safety stems in part from the increasingly clear realization that more services and technological advancement are not automatically equivalent to high-quality care. Much of the discussion about cost and quality in health care is shifting towards the concept of value. Value is defined as health outcomes achieved per dollar spent (in other words, an assessment of the quality of care per cost). This chapter reviews the current state of quality improvement in health care and, because improvement cannot be determined without measurement, reviews several aspects of effective clinical performance measurement. Since many measures are already in place, the chapter describes some of the organizations involved in quality measurement and improvement, as well the approaches they utilize. It looks at the multiple strategies in place to improve quality, from process management to collaboration, from financial incentives to transparency, and reviews newer models of care delivery that may materialize in the near future. Tables list types of quality measures, characteristics to consider when developing a quality measure, and organizations involved in quality improvement and performance measurement. A figure shows strategies used by the federal government to spur performance measurement and quality improvement. This review contains 1 figure, 3 tables, and 56 references Keywords: Quality of care, performance measure, quality improvement, clinical practice, sigma six, transparency


2021 ◽  
Vol 3 (2) ◽  
pp. 58-70
Author(s):  
Oleg B. Kerbikov ◽  
Alexander V. Averyanov ◽  
Ekaterina N. Borskaya ◽  
Tamara V. Krutova

The review is dedicated to the use of the cardiopulmonary exercise testing (CPET) in clinical practice. Main modes of CPET, most popular protocols and testing methods are discussed in details. Ample space is dedicated to main parameters measuring during CPET, their physiological values and changes in different pathological states. Main indications for CPET are presented and special attention is given to the use of CPET in chronic heart failure, apnea, lung diseases, skeletal muscle fiber and mitochondrial myopathy, rehabilitation. Emerging applications of CPET like congenital heart disease, pulmonary resection and several other are also discussed.


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