84 research outputs found
Between mandatory and aspirational ethics in nursing codes: a case study of the Italian nursing code of conduct
Background: Over the years, national and international nurses' organisations have drawn up Codes of Conduct and Codes of Ethics. A new differentiation has emerged over time between mandatory and aspirational approaches underlying how nurses can be supported by documents with rules to be respected (mandatory ethics) or by incentives (aspirational ethics). However, to date, no research has applied these approaches to analyse available Codes and to identify which approach are predominantly used. Methods: In this case study, the Italian Nursing Code of Conduct (NCC), published in 2019, composed of 53 articles distributed in eight chapters, was first translated, and then analysed using a developed matrix to identify the articles that refer to mandatory or aspirational ethics. A nominal group technique was used to minimise subjectivity in the evaluation process. Results: A total of 49 articles addressing the actions of the individual nurse were considered out of 53 composing the NNC. Articles were broken down into 97 units (from one to four for each article): 89 units (91.8%) were attributed to a unique category, while eight (8.2%) to two categories according to their meaning. A total of 38 units (39.2%) were categorised under the mandatory ethics and 58 (59.8%) under the aspirational ethics; however, one (1.0%) reflected both mandatory and aspirational ethics. Conclusions: According to the findings, the Italian Professional Body (FNOPI) has issued a modern code for nursing professionals in which an aspirational perspective is dominant offering a good example for other nursing organisations in the process of updating their codes when aimed at embodying an aspirational ethics
Robot-Assisted Laparoscopic Dismembered Pyeloplasty
OBJECTIVE: Advanced laparoscopic skills limit the implementation of laparoscopic pyeloplasty to centers with extensive experience. The introduction of robotic technology into the field of minimally invasive surgery has facilitated complex surgical dissection and genitourinary reconstruction. We report our experience with robot-assisted laparoscopic pyeloplasty using the da Vinci Robotic Surgical System at 3 New York City medical centers.
METHODS: A review of all robot-assisted laparoscopic Anderson-Hynes dismembered pyeloplasty cases in 38 patients (21 females, 17 males) between April 2001 and January 2004 was performed. All patients had symptoms or radiographic evidence of ureteropelvic junction obstruction. Robotic assistance with the da Vinci Robotic Surgical System was used after preparation of the ureteropelvic junction with a standard laparoscopic approach.
RESULTS: The average patient age was 39.3 years (range, 15 to 69). The mean operative time and suturing time were 225.6+/-59.3 minutes and 64.2+/-14.6 minutes. The average estimated blood loss was minimal at 77.3+/-55.3 mL. The mean length of hospitalization was 69.6 hours (range, 28 to 310). The average use of intravenous morphine was 26.5 mg (range, 0 to 162). No intraoperative complications occurred, and open conversions were not necessary. A mean follow-up of 12.2 months revealed a success rate of 94.7% with 2/38 patients requiring further treatments.
CONCLUSIONS: This combined multi-institutional series reveals that robot-assisted pyeloplasty with the da Vinci Surgical System is safe and reproducible. These intermediate results appear comparable to results with open and laparoscopic pyeloplasty repairs
Transition From Laparoscopic to Robotic Partial Nephrectomy: the Learning Curve for an Experienced Laparoscopic Surgeon
The transition from laparoscopic partial nephrectomy to robotic partial nephrectomy was found to be too rapid for an experienced laparoscopic surgeon
Bologna Process, More or Less: Nursing Education in the European Economic Area: A Discussion Paper
The Bologna Declaration and the subsequent processes is the single most important reform of higher education taking place in Europe in the last 30 years. Signed in 1999, it includes 46 European Union countries and aimed to create, a more coherent, compatible, comparable and competitive European Higher Education Area. The purpose of this paper is to discuss the Bologna Declaration achievements in nursing education at 2010 within eight countries that first signed the Declaration on 1999. Researchers primarily identified national laws, policy statements, guidelines and grey literature; then, a literature review on Bologna Declaration implementation in nursing was conducted on the Medline and CINAHL databases. Critical analyses of these documents were performed by expert nurse educators. Structural, organizational, functional and cultural obstacles are hindering full Bologna Process implementation in nursing education within European Economic Area. A call for action is offered in order to achieve a functionally unified system within nursin
Pandemic Influenza Planning in Nursing Homes: Are We Prepared?
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66316/1/j.1532-5415.2007.01299.x.pd
Mapping Pediatric Oncology Clinical Trial Collaborative Groups on the Global Stage
The global pediatric oncology clinical research landscape, particularly in Central and South America, Africa, and Asia, which bear the highest burden of global childhood cancer cases, is less characterized in the literature. Review of how existing pediatric cancer clinical trial groups internationally have been formed and how their research goals have been pursued is critical for building global collaborative research and data-sharing efforts, in line with the WHO Global Initiative for Childhood Cancer. METHODS: A narrative literature review of collaborative groups performing pediatric cancer clinical research in each continent was conducted. An inventory of research groups was assembled and reviewed by current pediatric cancer regional and continental leaders. Each group was narratively described with identification of common structural and research themes among consortia. RESULTS: There is wide variability in the structure, history, and goals of pediatric cancer clinical trial collaborative groups internationally. Several continental regions have longstanding endogenously-formed clinical trial groups that have developed and published numerous adapted treatment regimens to improve outcomes, whereas other regions have consortia focused on developing foundational database registry infrastructure supported by large multinational organizations or twinning relationships. CONCLUSION: There cannot be a one-size-fits-all approach to increasing collaboration between international pediatric cancer clinical trial groups, as this requires a nuanced understanding of local stakeholders and resources necessary to form partnerships. Needs assessments, performed either by local consortia or in conjunction with international partners, have generated productive clinical trial infrastructure. To achieve the goals of the Global Initiative for Childhood Cancer, global partnerships must be sufficiently granular to account for the distinct needs of each collaborating group and should incorporate grassroots approaches, robust twinning relationships, and implementation science
Landslide Risk Assessment in Cut Locations Using Artificial Intelligence Based on Right-of-Way Videos and Geophysical Data
69A3551847103Sidehill and through cuts are often used in the construction of new railroad rights-of-way to limit the length, curvature, and grade of the route. However, rights-of-way that utilize cuts are susceptible to damage from falling debris driven by slope failure events such as shallow landslides and rockfalls. At-risk slopes, or geohazards, are traditionally analyzed using intensive field investigations and historical failure events to determine their likelihood of failure and the potential consequences of failure. Anticipating slope failures that may occur due to everyday weather events and other catalysts in the region helps protect railroad assets and employees, ensuring safe operations. Many rights-of-way have a large density of geohazards; thus, performing in-situ measurements to determine their failure likelihood requires extensive resources. In addition, installing infrastructure to detect or inhibit debris flow is expensive and often unrealistic for all geohazards. This study aimed to create a new slope stability risk framework for railroad cut sections by processing digital images of railroad rights-of-way recorded by inspection vehicles and related geophysical data. A geohazard-affected track section along the Harrisburg Line was used as the study area. Computer vision techniques were used to identify and quantify geohazard features that indicated slope instability. An object detection model based on deep learning (DL) was trained to detect these slope instability indicators and generate risk scores from rights-of-way inspection videos. Moreover, a landslide inventory was compiled, and a landslide susceptibility model was developed for the study area based on available geophysical data. The object detection model and the landslide susceptibility model were combined using a relative risk assessment framework to determine which sections were most at-risk of landslide, and results were compared with the railroad identified geohazard sections across the study area
Protection from the 2009 H1N1 Pandemic Influenza by an Antibody from Combinatorial Survivor-Based Libraries
Influenza viruses elude immune responses and antiviral chemotherapeutics through genetic drift and reassortment. As a result, the development of new strategies that attack a highly conserved viral function to prevent and/or treat influenza infection is being pursued. Such novel broadly acting antiviral therapies would be less susceptible to virus escape and provide a long lasting solution to the evolving virus challenge. Here we report the in vitro and in vivo activity of a human monoclonal antibody (A06) against two isolates of the 2009 H1N1 pandemic influenza virus. This antibody, which was obtained from a combinatorial library derived from a survivor of highly pathogenic H5N1 infection, neutralizes H5N1, seasonal H1N1 and 2009 “Swine” H1N1 pandemic influenza in vitro with similar potency and is capable of preventing and treating 2009 H1N1 influenza infection in murine models of disease. These results demonstrate broad activity of the A06 antibody and its utility as an anti-influenza treatment option, even against newly evolved influenza strains to which there is limited immunity in the general population
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