We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure coreplatform@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Background: SARS-CoV-2 N95 mask contamination in healthcare providers (HCPs) treating patients with COVID-19 is poorly understood. Method: We performed a prospective observational study of HCP N95 respirator SARS-CoV-2 contamination during aerosol-generating procedures (AGPs) on SARS-CoV-2–positive patients housed in a COVID-19–specific unit at an academic medical center. Medical masks were used as surrogates for N95 respirators to avoid waste and were worn on top of HCP N95 respirators during study AGPs. Study masks were provided to HCPs while donning PPE and were retrieved during doffing. Additionally, during doffing, face shields were swabbed with Floq swabs premoistened with viral transport media (VTM) prior to disinfection. Medical masks were cut into 9 position-based pieces, placed in VTM, vortexed, and centrifuged (Fig. 1). RNA extraction and RT-PCR were completed on all samples. RT-PCR–positive samples underwent cell culture infection to detect cytopathic effects (CPE). Contamination was characterized by mask location and front and back of face shields. Patient COVID-19 symptoms were collected from routine clinical documentation. Study HCPs completed HCP-role–specific routine care (eg, assessing, administering medications, and maintaining oxygen supplementation) while in patient rooms and were observed by study team members. Results: We enrolled 31 HCPs between September and December 2021. HCP and patient characteristics are presented in Table 1. In total, 330 individual samples were obtained from 31 masks and 26 face shields among 12 patient rooms. Of the 330 samples, 0 samples were positive for SARS-CoV-2 via RT-PCR. Positive controls were successfully performed in the laboratory setting to confirm that the virus was recoverable using these methods. Notably, all samples were collected from HCPs caring for COVID-19 patients on high-flow, high-humidity Optiflow (AGP), with an average of 960 seconds (IQR, 525–1,680) spent in each room. In addition to Optiflow and routine care, study speech pathologists completed an additional AGP of fiberoptic endoscopic evaluation of swallowing. Notably, 29 (94%) of 31 study HCP had physical contact with their patient. Conclusions: Overall, mask contamination in HCPs treating patients with COVID-19 undergoing AGPs was not detectable while wearing face shields, despite patient contact and performing AGP.
Background: Working while ill, or presenteeism, has been documented at substantial levels among healthcare personnel (HCP) along with its consequences for both patient and HCP safety. Limited literature has been published on HCP presenteeism during the COVID-19 pandemic, and specific motivations for this behavior are not well described. Understanding both individual and systemic factors that contribute to presenteeism is key to reducing respiratory illness transmission in the healthcare setting. We characterized the frequency of and motivations for presenteeism in the workforce of a large academic medical center during the COVID-19 pandemic. Method: We deployed a voluntary, anonymous electronic survey to HCP at University of North Carolina (UNC) Medical Center in December 2021, which was approved by the UNC Institutional Review Board. We received 591 responses recruited through employee newsletters. Respondents recounted their frequency of presenteeism since March 2020, defined as coming to work feeling feverish plus cough and/or sore throat. In total, 24.6% reported presenteeism at least once, with 8.1% reporting twice and 5.3% 3 or more times. Asking more generally about any symptoms while working, the following were most common: headache (26%), sinus congestion (20%), sore throat (13%), cough (13%), and muscle aches (9.3%). Results: Motivations for presenteeism fell broadly into 4 categories: (1) perception of low risk for COVID-19 infection, (2) concerns about workplace culture and operations, (3) issues with sick leave, and (4) concerns about employment record and status. Among HCP reporting at least 1 instance, the most common motivations for presenteeism included feeling low risk for COVID-19 infection due to mild symptoms (59.9%), being vaccinated (50.6%), avoiding increasing colleagues’ workload (48.3%), avoiding employment record impact (39.6%), and saving sick days for other purposes (37.9%). Asked to identify a primary motivation, 40.3% reported feeling low risk for COVID-19 infection due to mild symptoms or vaccination, 21.2% reported a workplace culture issue (ie, increasing colleague workload, perception of weakness, responsibility for patients), 20.6% reported sick leave availability and use (including difficulty finding coverage) and 17.8% reported employment record ramifications including termination. Conclusions: This survey coincided with 2the onset of the SARS-CoV-2 ο (omicron) variant locally, and as such, risk perceptions and motivations for presenteeism may have changed. Responses were self-reported and generalizability is limited. Still, these results highlight the importance of risk messaging and demonstrate the many factors to be considered as potential presenteeism motivators. Mitigating these drivers is particularly critical during high-risk times such as pandemics or seasonal peaks of respiratory illness.
Hospital construction and renovation activities are the main cause of healthcare-associated fungal outbreaks. Infection control risk assessments (ICRAs) for renovation and construction decrease the risk of healthcare-associated fungal outbreaks, but they are typically not performed in developing countries. We reviewed an outbreak investigation to limit the construction-related fungal infections in a COVID-19 ICU in a resource-limited setting.
This chapter examines the FDA’s role in regulating ART devices. The FDA’s statutorily defined purview to regulate devices includes [things] “used in” or “intended to affect…man or other animals.” This chapter considers the FDA’s jurisdiction over devices that affect or diagnose pre-embryos, embryos, or fetuses that are not generally considered people or animals under US law. It discusses the legal and ethical implications of the FDA’s claim over ART devices without changing or clarifying its regulatory charge to include such organisms and whether or not the FDA has overstepped its power by regulating these instruments as devices. It also reviews the FDA’s existing classification of devices involved in ART (Class II). In light of the catastrophic and painful consequences that can follow malfunction of these devices (such as cryobanks thawing or embryo swapping) and that anecdotal accounts suggest such malfunctions are happening more frequently, this chapter questions if ART devices should be reclassified or if an alternative regulatory mechanism could more effectively protect consumers in the ART industry.
The surface environment in COVID-19 patient’s rooms may be persistently contaminated despite disinfection. A continuously active disinfectant demonstrated excellent sustained antiviral activity following a 48-hour period of wear and abrasion exposures with reinoculations. Reductions of >4-log10 were achieved within a 1-minute contact time for SARS-CoV-2 and the human coronavirus, 229E.
Initial assessments of coronavirus disease 2019 (COVID-19) preparedness revealed resource shortages and variations in infection prevention policies across US hospitals. Our follow-up survey revealed improvement in resource availability, increase in testing capacity, and uniformity in infection prevention policies. Most importantly, the survey highlighted an increase in staffing shortages and use of travel nursing.
Hospital-associated fungal infections from construction and renovation activities can be mitigated using an infection control risk assessment (ICRA) and implementation of infection prevention measures. The effectiveness of these measures depends on proper installation and maintenance. Consistent infection prevention construction rounding with feedback is key to ongoing compliance.
Background: The use of personal protective equipment (PPE) is a critical intervention in preventing the spread of transmission-based infections in healthcare settings. However, contamination of the skin and clothing of healthcare personnel (HCP) frequently occurs during the doffing of PPE. In fact, nearly 40% of HCP make errors while doffing their PPE, causing them to contaminate themselves. PPE monitors are staff that help to promote their colleagues’ safety by guiding them through the PPE donning and doffing processes. With the advent of the COVID-19 pandemic in early 2020, the UNC Medical Center chose to incorporate PPE monitors as part of its comprehensive COVID-19 prevention strategy, using them in inpatient areas (including COVID-19 containment units and all other units with known or suspected SARS-CoV-2–positive patients), procedural areas, and outpatient clinics. Methods: Infection prevention and nursing developed a PPE monitoring team using redeployed staff from outpatient clinics and inpatient areas temporarily closed because of the pandemic. Employee training took place online and included fundamentals of disease transmission, hand hygiene basics, COVID-19 policies and signage, and videos on proper donning and doffing, including coaching tips. The monitors’ first shifts were supervised by experienced monitors to continue in-place training. Employees had competency sheets signed off by a supervisor. Results: The Medical Center’s nursing house supervisors took over management and deployment of the PPE monitoring team, and infection prevention staff continued to train new members. Eventually, as closed clinics and areas reopened and these PPE monitors returned to their regular positions, areas used their own staff to perform the role of PPE monitor. In the fall of 2020, a facility-wide survey was sent to all inpatient staff to assess their perceptions of the Medical Center’s efforts to protect them from acquiring COVID-19. It included a question asking how much staff agreed or disagreed that PPE monitors “play an important role in keeping our staff who care for COVID-19 patients safe.” Of the 626 staff who answered this question, 67.6% agreed or strongly agreed that PPE monitors played an important role in keeping staff safe. Thus far, there has been no direct transmission or clusters of COVID-19 involving HCP in COVID-19 containment units with PPE monitors. Conclusions: PPE monitors are an important part of a comprehensive COVID-19 prevention strategy. In early 2021, the UNC Medical Center posted and hired paid PPE monitor positions to continue this critical work in a sustainable way.
This consensus statement by the Society for Healthcare Epidemiology of America (SHEA) and the Society for Post-Acute and Long-Term Care Medicine (AMDA), the Association for Professionals in Epidemiology and Infection Control (APIC), the HIV Medicine Association (HIVMA), the Infectious Diseases Society of America (IDSA), the Pediatric Infectious Diseases Society (PIDS), and the Society of Infectious Diseases Pharmacists (SIDP) recommends that coronavirus disease 2019 (COVID-19) vaccination should be a condition of employment for all healthcare personnel in facilities in the United States. Exemptions from this policy apply to those with medical contraindications to all COVID-19 vaccines available in the United States and other exemptions as specified by federal or state law. The consensus statement also supports COVID-19 vaccination of nonemployees functioning at a healthcare facility (eg, students, contract workers, volunteers, etc).
Limited data are available on the implementation of an area under the concentration-time curve (AUC)–based dosing protocol with multidisciplinary team (MT) support to improve adherence with vancomycin dosing protocol.
Objective:
To evaluate the effectiveness of an AUC-based dosing protocol with MT support intervention with adherence to a hospital-wide vancomycin dosing protocol at Thammasat University Hospital.
Method:
We conducted a quasi-experimental study in patients who were prescribed intravenous vancomycin. The study was divided into 2 periods; (1) the preintervention period when the vancomycin dosing protocol was already applied in routine practice and (2) the post-intervention period when the implementation of an AUC-based dosing protocol with MT support was added to the existing vancomycin dosing protocol. The primary outcome was the rate of adherence, and the secondary outcomes included acute kidney injury events, vancomycin-related adverse events, and 30-day mortality rate.
Results:
In total, 240 patients were enrolled. The most common infections were skin and soft-tissue infections (24.6%) and bacteremia (24.6%). The most common pathogens were coagulase-negative staphylococci (19.6%) and Enterococcus spp (15.4%). Adherence with the vancomycin dosing protocol was significantly higher in the postintervention period (90.8% vs 55%; P ≤ .001). By multivariate analysis, an AUC-based dosing protocol with MT support was the sole predictor for adherence with the vancomycin dosing protocol (adjusted odds ratio, 10.31; 95% confidence interval, 4.54–23.45; P ≤ .001). The 30-day mortality rate was significantly lower during the postintervention period (8.3% vs 20%; P = .015).
Conclusions:
AUC-based dosing protocol with MT support significantly improved adherence with vancomycin dosing protocol and was associated with a lower 30-day mortality rate.