The submissive behaviors of students exposed to violence during clinical implementation and the coping methods

2017 ◽  
Vol 5 ◽  
pp. 9-18
Author(s):  
Pakize Ozyurek ◽  
Ayse Koyun
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 519-520
Author(s):  
Priyanka Shrestha ◽  
Erica Husser ◽  
Diane Berish ◽  
Long Ngo ◽  
Marie Boltz ◽  
...  

Abstract Delirium is a serious and potentially life-threatening problem, but it remains clinically under-recognized. Various factors contribute to this under-recognition, including limited understanding of delirium, insufficient training and application of delirium assessments, potential stigma for the patient and increased workload for the clinician. As a part of an NIH funded study testing a rapid two-step delirium identification protocol at two hospitals in the U.S. (one urban and one rural), clinicians completed a 12-item survey to assess their knowledge and attitudes about delirium and their confidence in preventing and managing delirium. Survey response options followed a 5-point rating scale (strongly disagree, disagree, undecided, agree, strongly agree). The sample for this analysis included 399 clinicians (MDs=53; RNs=235; CNAs=111). Chi-square was used to test for group differences between clinician types. Less than half of the clinicians reported agreeing with the statement, “delirium is largely preventable” (MDs: 47%; RN: 44%; CNA: 41%, p-value=0.021). MDs and RNs indicated a high level of confidence in recognizing delirium while CNAs endorsed lower levels of confidence (MDs: 87%; RN: 81%; CNA: 65%, p-value=0.001). All types of clinicians reported lower confidence in managing delirium (MDs: 29%; RN: 36%; CNA: 44%, p-value=0.117). 47% of CNAs and 37% of RNs agreed there is a need for additional training in caring for persons with delirium while only 21% of MDs agreed (p = 0.031). Understanding how different types of clinicians think and feel about delirium will inform training and communication initiatives, clinical implementation, and research on best practices for delirium identification and management.


2020 ◽  
Vol 108 (3) ◽  
pp. e356-e357
Author(s):  
J. Sanchez-Rodriguez ◽  
S.X. Cavanaugh ◽  
P.N. Schantz ◽  
J.S. Dick ◽  
H. Al Halabi

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Titilayo Tatiana Agbadjé ◽  
Matthew Menear ◽  
Marie-Pierre Gagnon ◽  
France Légaré

Abstract Background Our team has developed a decision aid to help pregnant women and their partners make informed decisions about Down syndrome prenatal screening. However, the decision aid is not yet widely available in Quebec’s prenatal care pathways. Objective We sought to identify knowledge translation strategies and develop an implementation plan to promote the use of the decision aid in prenatal care services in Quebec, Canada. Methods Guided by the Knowledge-to-Action Framework and the Theoretical Domains Framework, we performed a synthesis of our research (11 publications) on prenatal screening in Quebec and on the decision aid. Two authors independently reviewed the 11 articles, extracted information, and mapped it onto the Knowledge-to-Action framework. Using participatory action research methods, we then recruited pregnant women, health professionals, managers of three prenatal care services, and researchers to (a) identify the different clinical pathways followed by pregnant women and (b) select knowledge translation strategies for a clinical implementation plan. Then, based on all the information gathered, the authors established a consensus on strategies to include in the plan. Results Our knowledge synthesis showed that pregnant women and their partners are not sufficiently involved in the decision-making process about prenatal screening and that there are numerous barriers and facilitators of the use of the decision aid in clinical practice (e.g., low intention to use it among health providers). Using a participatory action approach, we met with five pregnant women, three managers, and six health professionals. They informed us about three of Quebec’s prenatal care pathways and helped us identify 20 knowledge translation strategies (e.g., nurse discusses decision aid with women before they meet the doctor) to include in a clinical implementation plan. The research team reached a consensus about the clinical plan and also about broader organizational strategies, such as training healthcare providers in the use of the decision aid, monitoring its impact (e.g., measure decisional conflict) and sustaining its use (e.g., engage key stakeholders in the implementation process). Conclusion Next steps are to pilot our implementation plan while further identifying global strategies that target institutional, policy, and systemic supports for implementation.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S383-S383
Author(s):  
Charma Henry ◽  
Dustin Evans ◽  
Daniel Navas ◽  
Arleen Barker ◽  
Chonnapat Somyos ◽  
...  

Abstract Background The national average of identification and susceptibility for organisms isolated from positive blood culture to final susceptibility based on growth on solid media is 48 hours. The goal of this research was to prove that the Vitek®2 (bioMérieux, Inc.) system can provide an accurate and reliable susceptibility result directly from positive blood culture for Gram negative rods and reduce the turnaround time (TAT) from positive blood culture to the final susceptibility. Methods An FDA-modified validation procedure was performed on positive blood cultures directly from the bottle to the VITEK®2 System for susceptibility testing. The protocol tested and validated an aliquot of 50uL of blood directly from the positive bottle into 10 mL of saline (1:200). The solution was vortexed and 3mL were placed in the VITEK®2 test tube. This protocol was intended only for Gram negative rods using the AST-GN70, AST-GN81 & AST-GN801 cards. This protocol followed the CLSI M52 and M100 guidelines. Results 515 organisms from clinical blood culture samples from July 2018 to October 2019 were evaluated. Organisms included, but were not limited to: E. coli, K. pneumoniae, Enterobacter spp., and P. aeruginosa, Proteus spp., Salmonella spp., Acinetobacter spp., and S. maltophilia. There were 5,201 drug/bug combinations. AdventHealth Orlando achieved an essential agreement of 99.32% (n=5,166), minor error 0.74% (n=39) major error 0.02% (n=1) and very major error 0.49% (n=2). A 100% agreement was achieved on detection of ESBL, CRE, and MDR organisms. Conclusion Rapid direct blood culture protocol using the VITEK®2 System and the AST-GN cards is accurate, reliable and can be performed with less than 1 minute hands-on time. The protocol can be implemented in any laboratory at no additional costs or modification where the current VITEK®2 AST-GN panels are in use. This protocol was clinically implemented at AdventHealth Orlando on July 15, 2019. Compared with the national average of 72 hours, the TAT obtained during this study was 23 hours from positive blood culture to final susceptibility, a significant reduction of 25 hours. The authors encourage bioMérieux Inc. to evaluate and explore the opportunity to expand the use of the VITEK®2 system for this application with the appropriate clinical trial. Disclosures All Authors: No reported disclosures


2021 ◽  
Vol 9 (6) ◽  
pp. 1302
Author(s):  
Patrice D. Cani ◽  
Emilie Moens de Hase ◽  
Matthias Van Hul

The field of the gut microbiota is still a relatively young science area, yet many studies have already highlighted the translational potential of microbiome research in the context of human health and disease. However, like in many new fields, discoveries are occurring at a fast pace and have provided new hope for the development of novel clinical applications in many different medical conditions, not in the least in metabolic disorders. This rapid progress has left the field vulnerable to premature claims, misconceptions and criticism, both from within and outside the sector. Tackling these issues requires a broad collaborative effort within the research field and is only possible by acknowledging the difficulties and challenges that are faced and that are currently hindering clinical implementation. These issues include: the primarily descriptive nature of evidence, methodological concerns, disagreements in analysis techniques, lack of causality, and a rather limited molecular-based understanding of underlying mechanisms. In this review, we discuss various studies and models that helped identifying the microbiota as an attractive tool or target for developing various translational applications. We also discuss some of the limitations and try to clarify some common misconceptions that are still prevalent in the field.


Author(s):  
Guangyao Wu ◽  
Arthur Jochems ◽  
Turkey Refaee ◽  
Abdalla Ibrahim ◽  
Chenggong Yan ◽  
...  

Abstract Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. Methods Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form “Medomics.”


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