Evidence of Air and Surface Contamination with SARS-CoV-2 in a Major Hospital in Portugal

As the third wave of the COVID-19 pandemic hit Portugal, it forced the country to reintroduce lockdown measures due to hospitals reaching their full capacities. Under these circumstances, environmental contamination by SARS-CoV-2 in different areas of one of Portugal’s major Hospitals was assessed between 21 January and 11 February 2021. Air samples (n = 44) were collected from eleven different areas of the Hospital (four COVID-19 and seven non-COVID-19 areas) using Coriolis® μ and Coriolis® Compact cyclone air sampling devices. Surface sampling was also performed (n = 17) on four areas (one COVID-19 and three non-COVID-19 areas). RNA extraction followed by a one-step RT-qPCR adapted for quantitative purposes were performed. Of the 44 air samples, two were positive for SARS-CoV-2 RNA (6575 copies/m3 and 6662.5 copies/m3, respectively). Of the 17 surface samples, three were positive for SARS-CoV-2 RNA (200.6 copies/cm2, 179.2 copies/cm2, and 201.7 copies/cm2, respectively). SARS-CoV-2 environmental contamination was found both in air and on surfaces in both COVID-19 and non-COVID-19 areas. Moreover, our results suggest that longer collection sessions are needed to detect point contaminations. This reinforces the need to remain cautious at all times, not only when in close contact with infected individuals. Hand hygiene and other standard transmission-prevention guidelines should be continuously followed to avoid nosocomial COVID-19.

How Did Students Perceive Classroom Learning under Strict COVID-19 Pandemic Closures and Restrictions?

The COVID-19 pandemic of 2020 required strict infection prevention measures worldwide, including school closure. After school reopened, we implemented Japan’s strict COVID measures, under which close contact in pairs or groups, as well as vocalizing in unison, was proscribed, with students having to remain quiet and face the blackboard. This study’s aim is to answer the question of how students felt about learning under such extreme constraints. One of the most noticeable findings from the responses to the survey of the 2020 class was that they felt the lack of collaborative learning experiences; hence, in 2021, we implemented changes that would allow for more collaboration while still adhering to COVID prevention guidelines. Among the various collaborative learning activities in the classroom, students reported that they found value in debate activities that challenged their English language skills and critical thinking. Overall, however, students found comfort and value in a semblance of learning with their peers. It was concluded that even in a volatile and uncertain situation, such as a pandemic, it is crucial to improve environments for collaborative learning. In the future, quantitative study of the impact of collaborative learning on students’ English proficiency will be a useful follow-up study.

Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention

CLABSIs are one of the most lethal and costly types of healthcare associated infections (HAIs). Regulatory organizations have mandated hospitals to submit monthly surveillance reports. However, there is an inaccuracy of presenting this report because of the lack of data standardization. This descriptive qualitative study aimed to develop a CLABSI prevention Information Model (IM) so the CLABSI prevention guidelines can be incorporated into structured nursing documentations. The flowsheet metadata stored in the Clinical Decision Repository was analyzed using an advanced analytics tool. The CLABSI prevention flowsheet data were mapped to 25 concepts, 45 data attributes and over 200 data value sets after organizing hierarchical structures. Seven domains of CLABSI prevention were identified in a CLABSI prevention IM. It would provide tangible benefits to create a practice reminder of the high risk for CLABSIs based on the nursing flowsheet data sets and multidisciplinary Electronic Health Record (EHR).

Lost in Translation: Narrative Salience of Fear > Hope in Prevention of COVID-19

Using short, policy-image-like narratives, we explore the relationship between narrative agreement and narrative impacts in the case of COVID-19 in the US. Building upon previous research which identified attention narratives focusing on problems “stories of fear” and those focusing on solutions “stories of hope,” we use a narrative survey experiment of the general public (n=1000) to test the salience of problem and solution narratives and if they impact agreement with Center for Disease Control (CDC) prevention guidelines. Our findings are 1) fear story agreement is partisan but hope story agreement is not 2) fear story is the more salient of the two, 3) narrative agreement for both fear and hope were related to CDC safety guideline agreement, but were partisan, and 4) exposure to neither narrative impacted likelihood to agree with the guidelines as compared to a control group. Our findings are consistent with previous work indicating a Democratic party preference for stories of fear, where Democrats were more likely to support policy action. While we find that agreement with our narratives and guidelines is related, neither narrative treatment successfully altered support for CDC guidelines, suggesting a potential limit for the influence of narratives to either change or reorder existing preferences in highly salient and partisan issue areas like COVID-19 and suggesting a need for more research into the dynamics of narrative attention.