Sharp-Device Injuries to Hospital Staff Nurses in 4 Countries

2007 ◽  
Vol 28 (4) ◽  
pp. 473-478 ◽  
Author(s):  
Sean P. Clarke ◽  
Maria Schubert ◽  
Thorsten Körner

Objective.To compare sharp-device injury rates among hospital staff nurses in 4 Western countries.Design.Cross-sectional survey.Setting.Acute-care hospital nurses in the United States (Pennsylvania), Canada (Alberta, British Columbia, and Ontario), the United Kingdom (England and Scotland), and Germany.Participants.A total of 34,318 acute-care hospital staff nurses in 1998-1999.Results.Survey-based rates of retrospectively-reported needlestick injuries in the previous year for medical-surgical unit nurses ranged from 146 injuries per 1,000 full-time equivalent positions (FTEs) in the US sample to 488 injuries per 1,000 FTEs in Germany. In the United States and Canada, very high rates of sharp-device injury among nurses working in the operating room and/or perioperative care were observed (255 and 569 injuries per 1,000 FTEs per year, respectively). Reported use of safety-engineered sharp devices was considerably lower in Germany and Canada than it was in the United States. Some variation in injury rates was seen across nursing specialties among North American nurses, mostly in line with the frequency of risky procedures in the nurses' work.Conclusions.Studies conducted in the United States over the past 15 years suggest that the rates of sharp-device injuries to front-line nurses have fallen over the past decade, probably at least in part because of increased awareness and adoption of safer technologies, suggesting that regulatory strategies have improved nurse safety. The much higher injury rate in Germany may be due to slow adoption of safety devices. Wider diffusion of safer technologies, as well as introduction and stronger enforcement of occupational safety and health regulations, are likely to decrease sharp-device injury rates in various countries even further.

2013 ◽  
Vol 34 (8) ◽  
pp. 832-834 ◽  
Author(s):  
Jessica D. Lewis ◽  
Matthew Bishop ◽  
Brenda Heon ◽  
Amy J. Mathers ◽  
Kyle B. Enfield ◽  
...  

Carbapenemase-producing Enterobacteriaceae (CPE) are of increasing prevalence worldwide, and long-term acute care hospitals (LTACHs) have been implicated in several outbreaks in the United States. This prospective study of routine screening for CPE on admission to a LTACH demonstrates a high prevalence of CPE colonization in central Virginia.


2015 ◽  
Vol 43 (6) ◽  
pp. S67
Author(s):  
Kathleen Lucente ◽  
Kathleen Francis ◽  
Olarae Giger ◽  
Hillary Cooper ◽  
Connie Cutler ◽  
...  

Author(s):  
Patrick T. Wedlock ◽  
Kelly J. O’Shea ◽  
Madellena Conte ◽  
Sarah M. Bartsch ◽  
Samuel L. Randall ◽  
...  

Abstract Objective: Due to shortages of N95 respirators during the coronavirus disease 2019 (COVID-19) pandemic, it is necessary to estimate the number of N95s required for healthcare workers (HCWs) to inform manufacturing targets and resource allocation. Methods: We developed a model to determine the number of N95 respirators needed for HCWs both in a single acute-care hospital and the United States. Results: For an acute-care hospital with 400 all-cause monthly admissions, the number of N95 respirators needed to manage COVID-19 patients admitted during a month ranges from 113 (95% interpercentile range [IPR], 50–229) if 0.5% of admissions are COVID-19 patients to 22,101 (95% IPR, 5,904–25,881) if 100% of admissions are COVID-19 patients (assuming single use per respirator, and 10 encounters between HCWs and each COVID-19 patient per day). The number of N95s needed decreases to a range of 22 (95% IPR, 10–43) to 4,445 (95% IPR, 1,975–8,684) if each N95 is used for 5 patient encounters. Varying monthly all-cause admissions to 2,000 requires 6,645–13,404 respirators with a 60% COVID-19 admission prevalence, 10 HCW–patient encounters, and reusing N95s 5–10 times. Nationally, the number of N95 respirators needed over the course of the pandemic ranges from 86 million (95% IPR, 37.1–200.6 million) to 1.6 billion (95% IPR, 0.7–3.6 billion) as 5%–90% of the population is exposed (single-use). This number ranges from 17.4 million (95% IPR, 7.3–41 million) to 312.3 million (95% IPR, 131.5–737.3 million) using each respirator for 5 encounters. Conclusions: We quantified the number of N95 respirators needed for a given acute-care hospital and nationally during the COVID-19 pandemic under varying conditions.


2020 ◽  
Vol 35 (3) ◽  
pp. 145-145
Author(s):  
Paul Baldwin

Those of you who have been around for a while understand that Medicaid is the primary payer for long-term care in the United States. While Medicare pays for the short-term episodes of care associated with rehabilitation following a three-day stay in an acute-care hospital, it?s Medicaid that foots the bill for live-in residents who are unable to afford it themselves.


2013 ◽  
Vol 26 (5) ◽  
pp. 464-475 ◽  
Author(s):  
Daryl D. DePestel ◽  
David M. Aronoff

There has been dramatic change in the epidemiology of Clostridium difficile infection (CDI) since the turn of the 21st century noted by a marked increase in incidence and severity, occurring at a disproportionately higher frequency in older patients. Historically considered a nosocomial infection associated with antibiotic exposure, CDI has now also emerged in the community in populations previously considered low risk. Emerging risk factors and disease recurrence represent continued challenges in the management of CDI. The increased incidence and severity associated with CDI has coincided with the emergence and rapid spread of a previously rare strain, ribotype 027. Recent data from the United States and Europe suggest that the incidence of CDI may have reached a crescendo in the recent years and is perhaps beginning to plateau. The acute care direct costs of CDI were estimated to be US$4.8 billion in 2008. However, nearly all the published studies have focused on CDI diagnosed and treated in the acute care hospital setting and fail to measure the burden outside the hospital, including recently discharged patients, outpatients, and those in long-term care facilities. Enhanced surveillance methods are needed to monitor the incidence, to identify populations at risk, and to characterize the molecular epidemiology of strains causing CDI.


2021 ◽  
Author(s):  
◽  
Theresa Carroll

Practice Problem: Alcohol Use Disorders (AUD) affects a significant portion of the population in the United States. When AUD is either unrecognized or inadequately treated in the acute care setting it can lead to medical complications, increased length or stay (LOS), increased healthcare expense, and increased patient mortality. PICOT: In a population of adult patients admitted to an acute care hospital progressive care unit (P), how does applying an initial evidence-based screening tool to detect risk for moderate to severe alcohol withdrawal, the PAWSS (I), compare to no standard screening or assessment for potential alcohol withdrawal symptoms (C) affect the occurrence of patient deterioration for acute alcohol withdrawal symptoms (O) within an eight week timeframe (T)? Intervention: The PAWSS tool was utilized to screen all patients admitted to the progressive care unit. Patients identified at moderate to severe risk by a score of ≥4 were treated according to the standard facility practice with included CIWA-Ar monitoring and medication management with benzodiazepine medication. Outcome: The project was able to demonstrate a significant decrease in the mean LOS for those patients identified at risk and treated for AWS, with an average decrease of 50 hours in length of stay for those patients treated during the project implementation. Conclusion: Early recognition of patients at risk for AWS is an important component of effective management and treatment. Further study is needed into best practices for treatment of patients at risk, and internal compliance measures within the organization.


2018 ◽  
Author(s):  
Robert Robinson

BACKGROUND Web analytics are used on the majority of all high traffic web sites. These technologies are used to measure and enhance the impact of advertising and to create web visitor profiles of individual internet users. Visitor behavioral data collected by web analytics forms the foundation of the advertising ecosystem that generates revenue for technology companies such as Google and Facebook. The potential impacts of web analytics technology on healthcare are significant. Gaining a better understanding of the prevalence and characteristics of web analytics technology use on hospital websites is an important first step to understand the scope of this challenge. OBJECTIVE Determine the prevalence of web analytics use on hospital websites in the United States. METHODS An observational study on hospital websites in the United States was conducted obtaining website information for all general and critical access hospitals from the Homeland Infrastructure Foundation-Level Data (HIFLD) compiled by the Department of Homeland Security. These websites were then analyzed with the BuiltWith web technology analysis tool (BuiltWith Pty Ltd, Sidney, Australia, www.builtwith.com) to determine what web analytics products were active on hospital websites. Results were exported to a spreadsheet for data analysis. RESULTS Data from 4,829 hospital websites was analyzed. Web analytics technology was found on 78% of all hospital websites, with a range of 0 to 34 analytics products installed on a hospital website. The most common analytics technology installed was Google Universal Analytics, found on 62% of hospital websites. Comparisons between general acute care and critical access hospitals shows a higher prevalence (81% vs. 66%, p < 0.001) and mean number (4.49 vs. 2.56, p < 0.001) of web analytics products on general acute care hospital websites. Google is the dominant provider of web analytics for general acute care and critical access hospitals (75% vs. 61%, p < 0.001). Facebook is a distant second place provider with 31% and 13% respectively (p < 0.001). CONCLUSIONS Web analytics technology, predominately in the form of Google services, is extremely common on the websites of public hospitals in the United States. Further research is required to determine how the use of this technology may impact healthcare and the public. CLINICALTRIAL N/A


2009 ◽  
Vol 15 (2) ◽  
pp. 82-84 ◽  
Author(s):  
Magdeline Aagard

While researching and writing her dissertation, the author discovers the concept of bricolage. She describes its application in Tanzania and in a long-term acute care hospital in the Midwestern United States.


1996 ◽  
Vol 9 (4) ◽  
pp. 223-237 ◽  
Author(s):  
P. Degeling ◽  
D. Black ◽  
G. Palmer ◽  
J. Walters

This paper reports some of the findings of a national survey of staff in acute care hospitals about their knowledge of case mix and their attitudes towards it. Our findings suggest that, despite the range and scope of activities that have been pursued under the Australian Casemix Development Program (ACDP), knowledge of case mix among acute care hospital staff remains patchy. The evidence also shows that significant aspects of the DRG classification system and the uses to which it can be put are not accepted by many hospital staff, particularly medical staff. The paper concludes with a discussion of what some of these findings imply for future activity on case mix reform.


2016 ◽  
Vol 16 (1) ◽  
pp. 60-74
Author(s):  
B.C.J. Nguluwe ◽  
Y. Havenga ◽  
M.L.M. Sengane

Of all hospital staff, nurses are the most exposed to violence in the workplace that can cause long-term negative effects. The purpose of this study is to increase the understanding of violence against nurses in acute care psychiatric wards in a Gauteng hospital to promote the nurses’ mental health. A qualitative, explorative, descriptive and contextual research design was used by purposively sampling nurses who had experienced violence. Semi-structured individual interviews were conducted. Nurses had experienced physical, sexual and psychological violence and perceived the risk factors of violence to be mental health care user-related. They described the physical and emotional effects of the violence they experienced. Recommendations are made to prevent violence and manage incidents after their occurrence to promote nurses mental health. 


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