Infections caused by medical products at longterm nursing care

2020 ◽  
pp. 7-10
Author(s):  
Hardy Thorsten Panknin
Keyword(s):  
Nursing Care ◽  
Nursing Staff ◽  
Nosocomial Infections ◽  
The Elderly ◽  
Relevant Information ◽  
Medical Products ◽  
The Disabled ◽  
The Usa ◽  
Therapeutic Measures

Nosocomial infections in the elderly, often suffering from many ailments, patients in homes for the disabled and the old are among the problematic diseases that specialized nursing staff and doctors have to deal with more often in such institutions. Review work from the USA introduces relevant information about infectious risks, as well as possible preventive and therapeutic measures.

scholarly journals Premorbid IL-6 levels may predict mortality from COVID-19

2020 ◽  
Author(s):  
Morry Silberstein
Keyword(s):  
Vitamin D ◽  
The Elderly ◽  
Mortality Rates ◽  
Cell Entry ◽  
Healthy Individuals ◽  
Elderly Individuals ◽  
The Usa ◽  
Therapeutic Measures ◽  
The Uk ◽  
Viral Cell Entry

Abstract Purpose: There is evidence that interleukin-6 (IL-6) levels are elevated in cases of complicated COVID-19, but it is also possible that this cytokine has a far more important role in the pathogenesis of viral infection. Methods: Data on COVID-19 mortality from Italy and the UK were compared with previously published results of mean IL-6 levels from these countries as well as from the USA. Results: There was a highly significant correlation (r = 0.9883; p = 0.00025) between age-stratified mortality rates and IL-6 levels from similar healthy individuals. Levels of IL-6 were proportionately higher in males, the elderly, individuals of black ethnicity and obese individuals, with similar findings in relation to COVID-19 mortality in these groups. Conclusions: IL-6 levels prior to infection may predict mortality, given that this cytokine directly facilitates viral cell entry and replication. This provides a rationale for prophylactic and therapeutic measures directed at lowering IL-6, including Vitamin D prescription.

OP48 Nursing Requirements In Long-Term Care: A Health Technology Assessment

2019 ◽  
Vol 35 (S1) ◽  
pp. 11-12
Author(s):  
Paula Corabian ◽  
Charles Yan ◽  
Susan Armijo-Olivo ◽  
Bing Guo
Keyword(s):  
Nursing Care ◽  
Nursing Staff ◽  
Real World ◽  
Research Evidence ◽  
Long Term Care ◽  
Staff Time ◽  
Term Care ◽  
Policy Makers ◽  
The Relationship

IntroductionThe objectives of this study were to systematically review published research on the relationship between nursing staff coverage, care hours, and quality of care (QoC) in long-term care (LTC) facilities; and to conduct a real world evidence (RWE) analysis using Alberta real world data (RWD) to inform policy makers on whether any amendments could be made to current regulations.MethodsA systematic review (SR) of research evidence published between January 2000 and May 2018 on the relationship between nursing staff coverage, care hours, and QoC in LTC facilities was conducted. Panel data regressions using available RWD from Alberta, Canada, were performed to assess associations between nursing care hours and LTC outcomes. Outcomes of interest included quality indicators related to resident outcomes, hospital admissions, emergency room visits and family satisfaction. Nursing care hours considered in SR and RWE analysis included those provided by registered nurses (RNs) and licensed practical nurses (LPNs).ResultsThe SR found inconsistent and poor quality evidence relevant to the questions of interest, indicating a great uncertainty about the association between nursing staff time and type of coverage and QoC. Although some positive indications were suggested, major weaknesses of reviewed studies limited interpretation of SR results. RWE analysis found that impact of care hours on LTC outcomes was heterogeneous, dependent on outcome measurements. There was evidence that total staff, RN, and LPN hours had positive effects on some resident outcomes and magnitude of effect differed for different nursing staff.ConclusionsNo definitive conclusion could be drawn on whether changing nursing staff time or nursing staff coverage models would affect residents’ outcomes based on the research evidence gathered in the SR. RWE analysis helped to fill a gap in the available published literature and allowed policy makers to better understand the impact of revising current regulations based on actual outcomes.

scholarly journals A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020

2021 ◽  
Vol 18 (14) ◽  
pp. 7567
Author(s):  
Xiaochen Zhang ◽  
Lanxin Hui ◽  
Linchao Wei ◽  
Fuchuan Song ◽  
Fei Hu
Keyword(s):  
The Elderly ◽  
Research Field ◽  
Future Research ◽  
Human Machine Interaction ◽  
Research Directions ◽  
The Past ◽  
Power Wheelchairs ◽  
The Disabled ◽  
Future Research Directions ◽  
Machine Interaction

Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the disabled, while the human-machine interaction (HMI) determines how well the human intention will be precisely delivered and how human-machine system cooperation will be efficiently conducted. A bibliometric quantitative analysis of 1154 publications related to this research field, published between 1998 and 2020, was conducted. We identified the development status, contributors, hot topics, and potential future research directions of this field. We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research. Particular attention should be paid to evaluating the applicability and benefits of the EPW HMI methodology for the users, as well as how much it contributes to society. This study offers researchers a comprehensive understanding of EPW HMI studies in the past 22 years and latest trends from the evolutionary footprints and forward-thinking insights regarding future research.

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