Multi-dose CT contrast injectors: Is it time for change?

Introduction: The COVID-19 pandemic presented new and exacerbated existing challenges to the Australian healthcare workforce. Principally, health care demands have grown by approximately 14.9% over the past four years, Medicare costs from CT alone rose from $145 to 790 million per annum over the past 20 years and disrupted global supply lines during 2021 resulted in an 80% reduction of available CT iodinated contrast worldwide.1-3 Innovations to improve workflow efficiencies as well as lower operational costs and wastage of CT contrast media have become paramount. This study sought to compare the savings metrics between an existing single-use CT contrast delivery system and a newly introduced multi-dose syringeless contrast injector. Method(s): Workflow efficiency savings were calculated through the average time each staff member (n = 5) spent refilling each injector system after a completed injection. A retrospective analysis assessed theoretical monetary and contrast media savings and based on one month (February 2022) of injection protocol data. Total contrast administration, consumable use and clinical wastage were calculated and compared through each contrast delivery system technique. Discussion/Conclusion: The multi-dose injector comparatively recorded in an average monthly workflow efficiency saving of 38.26% (seven hours and 29 minutes). Monthly contrast usage decreased 29% (15.2 L) and operational expenses declined 51% ($11,574) through utilisation of the multi-use injector. These findings indicate, when compared to a single-use system, the multi-use injector is a highly efficient contrast delivery system with significant financial return on investment.

Practical learning in hybrid environments: Can remote learning be active, authentic, and real?

Online strategies designed to enable practical learning were in use prior to the pandemic. Nevertheless, in response to the rapid shift to online delivery during lockdowns, face-to-face practical learning was often postponed and replaced with traditional transmissive and theory-focused modes. This paper reports undergraduate and postgraduate university students' online learning experiences in New Zealand, where some practical learning approaches were evident particularly in the fields of teacher education, health or medicine, and sciences. Using multiple methods, data stemmed from a national survey followed by individual interviews and focus groups. Findings affirm that practical learning is possible in hybrid contexts, and is no less real than learning on campus. In-home or community-based activities, virtual simulations, online practice, and video-based learning all offer engaging opportunities for practical learning.

Respiratory microbiological surveillance in people with cystic fibrosis-analysis of respiratory samples before and after elexacaftor/tezacaftor/ivacaftor in a large adult U.K. cystic fibrosis center

Background: Pathogen surveillance is crucial but has become more challenging in the era of highly effective modulator therapy (HEMT), with many people with cystic fibrosis (PwCF) noting a considerable reduction or even absence of sputum on elexacaftor/tezacaftor/ivacaftor (ELX/TEZ/IVA). This challenge has been exacerbated by reduced face-toface contact with patients because of variable COVID-19 government restrictions on travel and social interaction (lockdowns) since March 20, relying on PwCF returning high-quality samples by mail. For those with pre-established bronchiectasis, it is likely that chronic infections and risk of new acquisition of infections remain on ELX/TEZ/IVA, although registry data suggest less prevalence of respiratory microorganisms on IVA [1]. We aimed to examine the impact of ELX/TEZ/IVA on frequency of respiratory pathogen surveillance and microorganism growth in our large, adult CF center. Method(s): A retrospective analysis of pathology results from respiratory samples received from March 19 to December 21, 2020, was completed for all patients commenced on ELX/TEZ/IVA at our CF center. Result(s): Respiratory samples from 216 PwCF who had commenced ELX/ TEZ/IVAwere analyzed. Median start date of ELX/TEZ/IVAwas October 10,2020. Before ELX/TEZ/IVA, the average number of respiratory samples per month was 108. This declined by 55% to an average of 48 per month when the first 50 PwCF commenced on ELX/TEZ/IVA and to 20 per month (82% reduction from pre-ELX/TEZ/IVA) when 100 PwCF had commenced ELX/ TEZ/IVA. The number of positive samples per month decreased from January 20, 2020, correlating with the introduction of ELX/TEZ/IVA and the reduction of respiratory samples received (Figure 1). The proportion of cough swabs and sputum samples remained similar from March 19 to December 21, 2020. (Six-month average showed that 19% of samples were cough swabs and 80% sputum for March to June 2019 and July to December 2021). We found no significant changes in proportion of samples positive for non-Pseudomonas spp. gram-negative organisms, Burkholderia spp., or gram-positive organisms (predominantly S. aureus) isolated over the period. There was a reduction by more than 50% of fungi and Candida spp. and a slight trend toward an increase in Pseudomonas spp. (mainly P. aeruginosa). Forty percent of PwCF who had one respiratory sample after ELX/TEZ/IVA initiation and 20% of those who had two or more samples showed a change in organism growth after ELX/TEZ/IVA initiation. In nearly 50% of these cases, the organism changed from gram negative to gram positive (P. aeruginosa to S. aureus in 69% of cases).(Figure Presented) Figure 1. Number of positive respiratory samples per month and number of people with cystic fibrosis on elexacaftor/tezacaftor/ivacaftor March 19 to December 21, 2020 Conclusion(s): The introduction of ELX/TEZ/IVA and its impact on sputum production has reduced surveillance of our patients' respiratory microbiology. This has been exacerbated by reduced face-to-face contact with patients due to the COVID-19 pandemic. The trends showa reduction in the isolation of fungi and yeasts and a slight increase in isolating Pseudomonas spp. In those who we have seen a change in organism growth, many have gone from gram-negative to gram-positive organisms. These data highlight the challenges of monitoring for new positive cultures and changes in microbiology cultures in the era of HEMT.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes

Background Stratification of patients with post-acute sequelae of SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, long COVID is incompletely understood and characterised by a wide range of manifestations that are difficult to analyse computationally. Additionally, the generalisability of machine learning classification of COVID-19 clinical outcomes has rarely been tested.Methods We present a method for computationally modelling PASC phenotype data based on electronic healthcare records (EHRs) and for assessing pairwise phenotypic similarity between patients using semantic similarity. Our approach defines a nonlinear similarity function that maps from a feature space of phenotypic abnormalities to a matrix of pairwise patient similarity that can be clustered using unsupervised machine learning.Findings We found six clusters of PASC patients, each with distinct profiles of phenotypic abnormalities, including clusters with distinct pulmonary, neuropsychiatric, and cardiovascular abnormalities, and a cluster associated with broad, severe manifestations and increased mortality. There was significant association of cluster membership with a range of pre-existing conditions and measures of severity during acute COVID-19. We assigned new patients from other healthcare centres to clusters by maximum semantic similarity to the original patients, and showed that the clusters were generalisable across different hospital systems. The increased mortality rate originally identified in one cluster was consistently observed in patients assigned to that cluster in other hospital systems. Interpretation Semantic phenotypic clustering provides a foundation for assigning patients to stratified subgroups for natural history or therapy studies on PASC.

Introduction

The introduction sets the scene for the book and considers why ideas from studio art therapy are particularly relevant for today's art therapists. A studio may be more than a space apart from life, shifting towards something accessible and rooted in the heart of community life, which is highlighted in the writing of our three North American authors. Other contributors explore the contextual changes that have brought about new ways of working. Indeed, much of the innovative work described in the book has arisen in response to human suffering brought about by changing social, political, and economic situations. The impact of neoliberal policies of austerity on the economies of caring professions, a swing away from emphasis on psychoanalytic ideas and a turning back to the healing power of art in art therapy, pressures to align with scientific models, a growing need for approaches that can meet current market expectations are all areas of interest. The studio as a physical space has been challenged during the global COVID-19 pandemic and exploring what constitutes a studio has become more pressing with online work. Chapters are signposted and key findings that emerge from the writing are summarised. © 2022 Taylor and Francis.

Rapid adaptation during the COVID crisis: Challenges experienced in delivering service to those with Opioid Use Disorders.

Background: Adaptation is an accepted part of implementing evidence-based practices. COVID-19 presented a unique opportunity to examine adaptation in evolving contexts. Delivering service to people with opioid use disorder during the pandemic required significant adaptation due to revised regulations and limited service access. This report evaluated changes to addiction medication services caused by the pandemic, challenges encountered in rapidly adapting service delivery, and initial impressions of which changes might be sustainable over time. Methods: Qualitatively-evaluated structured interviews (N = 20) were conducted in late 2020 with key informants in Pinellas County (FL) to assess the pandemic's impact. Interviewees represented a cross-section of the professional groups including direct SUD/HIV service providers, and sheriff's office, Department of Health, and regional clinical program administrative staff. The interview questions examined significant changes necessitated by the pandemic, challenges encountered in adapting to this evolving context, and considerations for sustained change. Results: The most significant changes to service delivery identified were rapid adaptation to a telehealth format, and modifying service consistent with SAMHSA guidance, to allow for 'take-home' doses of methadone. Limitations imposed by access to technology, and the retraining of staff and patients to give and receive service differently were the most common themes identified as challenging adaptation efforts. Respondents saw shifts towards telehealth as most likely to being sustained. Conclusions: COVID-19 provided an unprecedented opportunity to examine adaptation in a fast-paced, dynamic, and evolving context. Adaptations identified will only be sustained through multisystem collaboration and validation. Results suggest that additional components could be added to implementation frameworks to assess rapid adaptation during unplanned events, such as access to additional resources or local decision-making that impacts service delivery. Findings will also be integrated with quantitative data to help inform local policy decisions. Plain Language Summary: Adaptation is an accepted part of implementing evidencebased practices. COVID-19 presented a unique opportunity to examine rapid adaptation necessitated within evolving contexts. Delivering services to people with opioid use disorder required significant adaptation due to changing regulations and limited access to lifesaving services. This study examined changes in service delivery due to the pandemic, challenges encountered in rapid adaptation, and initial impressions of which changes might be sustainable over time. Qualitatively-evaluated structured interviews were conducted with a cross-section of professional groups (direct substance use disorder (SUD) and human immunodeficiency virus (HIV) service providers, and sheriff's office, Department of Health, and clinical program administrative staff) in Pinellas County (FL). The most significant changes to service delivery were rapid adaptation to a telehealth format and increased allowance for 'takehome' doses of methadone medication. Limitations imposed by access to technology, as well as the education of and staff and patients were the most common themes identified as challenges. Respondents saw shifts towards telehealth as most likely to be sustained. COVID-19 provided an unprecedented opportunity to examine adaptation in a fast-paced, dynamic, and evolving context. Adaptations will only be sustained through multisystem collaboration and validation. Findings suggest that additional components could be added to implementation frameworks to assess rapid adaptation during unplanned events, such as access to additional resources or local decision-making that impacts service delivery.

EQUITY PARTNERSHIPS IN ACTION Vaccines and Public Health

During the COVID-19 pandemic, partnerships to advance equity were critical in developing and implementing vaccine allocation and distribution plans. This chapter provides an overview of one recent equity partnership focused on COVID-19 vaccination equity in Virginia. Health inequities existed among racial groups and socially vulnerable populations before the COVID-19 pandemic. The pandemic exacerbated these inequities—disproportionately and negatively affecting communities of color. The primary task of this partnership was the development of a community-based approach that ensured Virginia's vaccine allocation strategy focused on equity. The partnership's contributions and activities positively impacted Virginia's vulnerable communities. Strong equity partnerships can offer robust solutions—increasing the positive effect on socially vulnerable groups by combining resources and knowledge while focusing on a shared goal. Although much work remains in the fight against the COVID-19 pandemic, the longer-term goal is to eliminate health disparities and disparate treatment of vulnerable communities. The partnership profiled in this chapter offers an instructive example that is widely applicable. © 2023 selection and editorial matter, Elsie L. Harper-Anderson, Jay S. Albanese and Susan T. Gooden;individual chapters, the contributors.

The digital dilemma of wellbeing for adolescents

One consequence of the COVID- 19 pandemic has been the increased use of digital technology in our lives. For adolescents, technology is being used in an increasingly wide range of contexts: for learning, to remain connected with each other and to have fun. This increase has, however, raised concerns about the impact technology may have on overall wellbeing. As we face ongoing disruption, we need to focus on how we can better support adolescents to navigate an increasingly digital world. We need to better understand their experiences and how engagement in this digital world can affect feelings of wellbeing. To aid comprehension of these experiences, this chapter draws on three scenarios to illustrate typical experiences of adolescents engaging with digital technology in their home and school life. These scenarios help to unpack different dilemmas faced by adolescents and give life to the real issues and benefits of technology. Drawing on Dodge's concept of wellbeing, we explore the points where challenges are countered by resources and benefits to balance the impact of technology in adolescents' lives. Our understanding is based on the view that use of digital technologies is shaped by sociocultural context and plays a fundamental role in education and general wellbeing. Whilst the chapter speaks from an Aotearoa New Zealand context, these are global issues faced by adolescents everywhere. © 2023 Peter Lang Ltd, International Academic Publishers.

Keep It Up! 3.0: Study protocol for a type III hybrid implementation-effectiveness cluster-randomized trial.

BACKGROUND: Despite evidence that eHealth approaches can be effective in reducing HIV risk, their implementation requirements for public health scale up are not well established, and effective strategies to bring these programs into practice are still unknown. Keep It Up! (KIU!) is an online program proven to reduce HIV risk among young men who have sex with men (YMSM) and ideal candidate to develop and evaluate novel strategies for implementing eHealth HIV prevention programs. KIU! 3.0 is a Type III Hybrid Effectiveness-Implementation cluster randomized trial designed to 1) compare two strategies for implementing KIU!: community-based organizations (CBO) versus centralized direct-to-consumer (DTC) recruitment; 2) examine the effect of strategies and determinants on variability in implementation success; and 3) develop materials for sustainment of KIU! after the trial concludes. In this article, we describe the approaches used to achieve these aims. METHODS: Using county-level population estimates of YMSM, 66 counties were selected and randomized 2:1 to the CBO and DTC approaches. The RE-AIM model was used to drive outcome measurements, which were collected from CBO staff, YMSM, and technology providers. Mixed-methods research mapped onto the domains of the Consolidated Framework for Implementation Research will examine determinants and their relationship with implementation outcomes. DISCUSSION: In comparing our implementation recruitment models, we are examining two strategies which have shown effectiveness in delivering health technology interventions in the past, yet little is known about their comparative advantages and disadvantages in implementation. The results of the trial will further the understanding of eHealth prevention intervention implementation.

Variations in classroom ventilation during the COVID-19 pandemic: Insights from monitoring 36 naturally ventilated classrooms in the UK during 2021

Seasonal changes in the measured CO2 levels at four schools are herein presented through a set of indoor air quality metrics that were gathered during the height of the COVID-19 pandemic in the UK. Data from non-intrusive environmental monitoring units were remotely collected throughout 2021 from 36 naturally ventilated classrooms at two primary schools and two secondary schools in England. Measurements were analysed to assess the indoor CO2 concentration and temperature. Relative to UK school air quality guidance, the CO2 levels within classrooms remained relatively low during periods of warmer weather, with elevated CO2 levels being evident during the colder seasons, indicating lower levels of per person ventilation during these colder periods. However, CO2 data from the cold period during the latter part of 2021, imply that the per person classroom ventilation levels were significantly lower than those achieved during a similarly cold weather period during the early part of the year. Given that the classroom architecture and usage remained unchanged, this finding suggests that changes in the ventilation behaviours within the classrooms may have altered, and raises questions as to what may have given rise to such change, in a year when, messaging and public concerns regarding COVID-19 varied within the UK. Significant variations were observed when contrasting data, both between schools, and between classrooms within the same school building;suggesting that work is required to understand and catalogue the existing ventilation provisions and architecture within UK classrooms, and that more work is required to ascertain the effects of classroom ventilation behaviours. © 2022 The Author(s)

Assessment of COVID-19 outbreaks in long-term care facilities.

BACKGROUND: The B.1.167.2 (Delta) variant quickly became the predominant circulating SARS-CoV-2 strain in the USA during summer 2021. Missouri identified a high number of outbreaks in long-term care facilities (LTCFs) across the state with low vaccination rates among LTCF staff members and poor adherence to mitigation measures within local communities. AIM: To describe COVID-19 outbreaks that occurred in Missouri LTCFs impacting staff and residents during the surge of the Delta variant. METHODS: Outbreaks of COVID-19 in 178 LTCFs were identified by the Missouri Department of Health and Senior Services. Case data from LTCFs with the highest burden of disease were analysed to assess disease transmission, vaccination status, and outcomes among residents and staff. Additional investigational measures included onsite visits to facilities with recent COVID-19 outbreaks in communities with substantial transmission to assess mitigation measures. FINDINGS: During April 22nd to July 29th, 2021, 159 COVID-19 cases among 72 staff members and 87 residents were identified in 10 LTCFs. More than 74.7% of resident cases were vaccinated compared to 23.6% of staff cases. Vaccinated residents had a lower proportion of hospitalizations and deaths reported compared to unvaccinated residents. Data analysis and contact-tracing efforts from a sample of the facilities suggest that staff members were likely a major factor in introducing SARS-CoV-2 virus into the facilities. Adherence to COVID-19 mitigation measures varied at the visited facilities. CONCLUSION: Data showed that vaccination rates varied between staff cases and resident cases in facilities with high-burden outbreaks. Differences were identified in mitigation practices in at least two facilities.

RSV-associated Hospitalizations in Adults Aged >=18 Years and the Impact of the COVID-19 Pandemic in the United States, October 2018 - February 2022

Background. Respiratory syncytial virus (RSV) is a significant cause of hospitalizations in older adults and typically circulates during the fall and winter in the United States. The COVID-19 pandemic and implementation of nonpharmaceutical interventions (NPIs) including masking, improved handwashing, and social distancing likely impacted RSV circulation. To explore the pandemic's impact on RSV seasonality and hospitalizations in adults aged >=18 years, we analyzed laboratory-confirmed RSV-associated hospitalizations through the RSV Hospitalization Surveillance Network (RSV-NET) across four seasons. Methods. RSV-NET is a population-based surveillance system that collects data on RSV-associated hospitalizations across 75 counties in 12 states. An RSV-NET case is a resident of a defined catchment area who tests positive for RSV through a clinician-ordered test within 14 days prior to or during hospitalization. Surveillance was conducted October-April for the 2018-19 and 2019-20 pre-pandemic seasons and October 2020-September 2021 (2020-21 season). Available data October 2021-February 2022 (ongoing 2021-22 season) are presented. Results. 2,536, 3,195, 618, and 1,758 laboratory-confirmed hospitalizations were identified in adults >=18 years in 2018-19, 2019-20, 2020-21, and 2021-22, respectively;case counts were 4.1 and 5.2 times higher in 2018-19 and 2019-20, respectively, than in 2020-2021. Hospitalizations peaked in January for pre-pandemic and 2021-22 seasons and in September for 2020-21 (Figure). For all years combined, 16.2%, 23.4%, 33.3%, and 27.1% of all RSV-associated hospitalizations were among those aged 18-49, 50-64, 65-79 and >=80 years, respectively. Laboratory-confirmed RSV-associated hospitalizations in adults >=18 years, October 2018 - February 2022 Conclusion. Laboratory-confirmed RSV-associated hospitalizations in adults were lower during the 2020-21 and 2021-22 seasons compared with pre-pandemic seasons, with a marked change in seasonal patterns in 2020-21, likely because of NPIs implemented during the pandemic. Continued monitoring of RSV-associated hospitalizations will be critical to understand ongoing changes in RSV circulation that resulted from the COVID-19 pandemic and associated NPIs. (Figure Presented).

Analysis of National Surveillance Data to Support Case Definition Revisions for Multisystem Inflammatory Syndrome in Children (MIS-C), United States, February 2020-April 2022

Background. Classification of MIS-C, COVID-19, and other pediatric inflammatory conditions is challenged by phenotypic overlap and absence of diagnostic laboratory evidence. Due to public health need and based on limited data from early cases, CDC developed a necessarily broad MIS-C surveillance case definition in May 2020. Studies have since shown that some criteria do not distinguish between MIS-C and other conditions and may contribute to misclassification. To inform planned revision to the CDC definition, we evaluated the impact of narrowing these criteria on case inclusion in national MIS-C surveillance. Methods. Of state and local health-department reported cases meeting the current MIS-C case definition as of 04/14/2022, we describe the proportion that met revised criteria under consideration including fever duration, C-reactive protein (CRP) elevation using a defined cutoff, and organ involvement represented by specific criteria. We also evaluated cases identified using potential combinations of revised criteria. Results. Of 8,096 MIS-C cases fulfilling the original case definition, 6,332 (78%) had sufficient data for evaluation of criteria. Of these, 96% had fever for >=2 days and 94% had a CRP >= 3.0 mg/dL (Table 1). Cardiac involvement defined by key features of MIS-C was present in 84% of cases (62% if BNP/proBNP elevation was excluded);43% had shock. Dermatologic, gastrointestinal (GI) and hematologic involvement were present in 75%, 89% and 37% of cases, respectively. Neurologic (excluding headache), renal, and respiratory involvement were present in 16%, 20%, and 63% of cases, respectively. The number of cases with >= 2 of cardiac (without BNP/proBNP elevation), shock, dermatologic, GI, or hematologic involvement was 5,733 (91%). SARS-CoV-2 testing results are shown in Table 2. Conclusion. The CDC MIS-C case definition is intentionally broad. Using national surveillance data, we evaluated case inclusion under narrower criteria, prioritizing features of MIS-C that distinguish it from similar pediatric inflammatory conditions. A surveillance case definition may not capture all cases and is not intended to replace clinical judgment. We plan to assess additional criteria combinations, describe potentially excluded cases, and incorporate findings into a revised definition.

A Retrospective Analysis of the Impact of the Covid-19 Infection on Neuro-Oncology Care and Patient Outcomes: A Two-Site Study

BACKGROUND: COVID-19 radically changed neuro-oncology care. In this retrospective study, we examine the impact of COVID-19 infection on neuro-oncological care and clinical outcomes in two geographically separate populations. METHOD(S): Descriptive statistics compared demographic and clinical history extracted from the medical records of COVID- 19 positive patients with primary brain tumors treated between 3/1/2020 and 3/31/2021. All subjects were unvaccinated given our cohort pre-dates the ubiquitous availability of vaccines. Patients were treated at Washington University (WashU) in St. Louis, MO and Duke University in Durham, NC. Each site's respective institutional review board approved the study, with a data transfer agreement in place. RESULT(S): We identified 62 total (WashU=13;Duke=49) subjects with positive COVID-19 infection. Patients were predominantly white (85.5%), male (56.5%), with KPS >=70 (82.3%) and never smoked (69.4%). WashU patients tended to be older with grade 4 tumors, but this was not significant. At the time of COVID infection 35.5% of patients were receiving cancer-directed therapy. Notably, 37.1% experienced delayed care due to a COVID-19 diagnosis, most often for scheduled systemic treatment or radiation treatment. A further 37.1% had an ER visit, hospitalization, or ICU stay attributed to COVID-19. Of the 17 patients who died during the study period, 4 deaths were attributed directly to COVID-19 and not to their underlying brain tumor or other cause. Finally, telehealth use differed between sites (84.6% at WashU vs 14.3% at Duke). However, this difference could not be attributed to patient age, performance status, or distance from treating institution. CONCLUSION(S): COVID-19 infection led to treatment delays and death for a subset, but not the majority of neuro-oncology patients. Telehealth use varied between sites and was not associated with commonly held assumptions about patient distance or performance status, suggesting evolving practice norms following telehealth's introduction. Study limitations include a small sample size.

Patient experiences of COVID-19-induced changes to methadone treatment in a large community-based opioid treatment program in Baltimore.

INTRODUCTION: Following the March 2020 federal declaration of a COVID-19 public health emergency, in line with recommendations for social distancing and decreased congregation, federal agencies issued sweeping regulation changes to facilitate access to medications for opioid use disorder (MOUD) treatment. These changes allowed patients new to treatment to receive multiple days of take-home medications (THM) and to use remote technology for treatment encounters-allowances that previously had been reserved exclusively for "stable" patients who met minimum adherence and time-in-treatment criteria. The impact of these changes on low-income, minoritized patients (frequently the largest recipients of opioid treatment program [OTP]-based addiction care), however, is not well characterized. We aimed to explore the experiences of patients who were enrolled in treatment prior to COVID-19 OTP regulation changes, with the goal of understanding patients' perceptions of the impact of these changes on treatment. METHODS: This study included semistructured, qualitative interviews with 28 patients. We used a purposeful sampling method to recruit individuals who were active in treatment just before COVID-19-related policy changes went into effect, and who were still in treatment several months later. To ensure a diverse array of perspectives, we interviewed individuals who either had or had not experienced challenges with methadone medication adherence from 3/24/21 to 6/8/21, approximately 12-15 months following the onset of COVID-19. Interviews were transcribed and coded using thematic analysis. RESULTS: Participants were majority male (57 %), Black/African American (57 %), with a mean age of 50.1 (SD = 9.3). Fifty percent received THM prior to COVID-19, which increased to 93 % during the pandemic. COVID-19 program changes had mixed effects on treatment and recovery experiences. Themes identified convenience, safety, and employment as reasons for preferring THM. Challenges included difficulty with managing/storing medications, experiencing isolation, and concern about relapse. Furthermore, some participants reported that telebehavioral health encounters felt less personal. CONCLUSIONS: Policymakers should consider patients' perspectives to foster a more patient-centered approach to methadone dosing that is safe, flexible, and accommodating to a diverse array of patients' needs. Additionally, technical support should be provided to OTPs to ensure interpersonal connections are maintained in the patient-provider relationship beyond the pandemic.

Innovation and Evidence-Based Decision-Making: Addressing New Graduate Nurse Turnover

Merger and acquisition activities in health care are increasing in both the number and cumulative value of transactions in recent years, creating new and dynamic pressures on health care systems and current operating environments. These industry shifts, coupled with crises such as the COVID-19 global pandemic, create opportunities for innovation to increase capacity, improve productivity, achieve economies of scale, and positively impact health care quality, safety, access, and cost. However, neither consolidation nor innovation in and of themselves will yield sustainable clinical best practices nor achieve the desired quality, financial, efficiency, retention, or engagement outcomes. This article describes the approach used by one system-level Doctor of Nursing Practice prepared nurse executive to leverage evidence-based decision-making to guide, lead, and support the innovation needed to address first-year new graduate nurse turnover in a multistate not-for-profit health care system.

Five mechanisms for tackling the risks to NEEThood: introducing a pathway to change to guide educators' support strategies

Tackling NEEThood remains a major UK policy focus, with numbers of young people not in education, employment or training (NEET) stub-bornly high and the COVID-19 Pandemic exacerbating school disengagement and widening inequalities. Drawing on rich qualitative data from a three-year study evaluating educational interventions tackling NEEThood, this paper explores such interventions were successful from the perspectives of the young people and their educators. We introduce five mechanisms underpinning effective support strategies, arguing that these enable a pathway to change for young people. We distinguish between foundational mechanisms, essential at the outset of work with young people, facilitating mechanisms which build on these foundations, and outcome-generating mechanisms which lead to education and work goals. These findings underscore the importance of tackling the social aspects of educational disengagement, as well as the critical role of advocacy and support from an adult who can unpick the complex barriers to engagement and learning.

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection has to be made based on coughing sounds and speech;in the Escalation Sub-Challenge, a three-way assessment of the level of escalation in a dialogue is featured;and in the Primates Sub-Challenge, four species vs background need to be classified. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the 'usual' COMPARE and BoAW features as well as deep unsupervised representation learning using the AUDEEP toolkit, and deep feature extraction from pre-trained CNNs using the DEEP SPECTRUM toolkit;in addition, we add deep end-to-end sequential modelling, and partially linguistic analysis.