How the COVID-19 Pandemic Affected Young People's Mental Health and Wellbeing in the UK: A Qualitative Study

There is emerging evidence of the detrimental impact of the pandemic and associated restrictions on young people's mental health in the UK but to date, these data have been largely quantitative. The aim of the current study was to gain a deeper understanding of young people's experiences in relation to their mental health and wellbeing during the pandemic. Seventeen young people, aged 11 to 16 years, sampled for diverse characteristics, and living in the UK, were interviewed virtually between December 2020 and February 2021. Reflexive thematic analysis was carried out by the research team, which included two young people, and five themes were developed: (1) positives;(2) worries and anxiety;(3) sadness and anger about losses;(4) mental exhaustion;and (5) support from others. Aspects of young people's individual circumstances (e.g., pre-existing mental health difficulties;special educational needs and neurodevelopmental disorders) appeared to play a role in their experiences. Continued measurement of young people's mental health, initiatives to identify young people who have been struggling and the provision of support (including evidence-based and accessible interventions) will be important for protecting young people from future adversities as we emerge from the pandemic.

Changes in hospitalized coronavirus disease 2019 (COVID-19) patient characteristics and resource use in a system of community hospitals in the United States.

Coronavirus disease 2019 (COVID-19) has migrated to regions that were initially spared, and it is likely that different populations are currently at risk for illness. Herein, we present our observations of the change in characteristics and resource use of COVID-19 patients over time in a national system of community hospitals to help inform those managing surge planning, operational management, and future policy decisions.

No clinical benefit in mortality associated with hydroxychloroquine treatment in patients with COVID-19.

BACKGROUND: The use of hydroxychloroquine (HCQ), with or without concurrent administration of azithromycin (AZM), for treatment of COVID-19 has received considerable attention. The purpose of this study was to determine whether HCQ administration is associated with improved mortality in COVID-19 patients. METHODS: We conducted a retrospective analysis of data collected during the care process for COVID-19 positive patients discharged from facilities affiliated with a large healthcare system in the United States as of April 27, 2020. Patients were categorized by treatment with HCQ (in addition to standard supportive therapy) or receipt of supportive therapy with no HCQ. Patient outcomes were evaluated for in-hospital mortality. Patient demographics and clinical characteristics were accounted for through a multivariable regression analysis. RESULTS: A total of 1669 patients were evaluated (no HCQ, n = 696; HCQ, n = 973). When adjusting for patient characteristics, receipt of AZM, and severity of disease at admission, there was no beneficial effect of receipt of HCQ on the risk of death. In this population, there was an 81% increase in the risk of mortality among patients who received HCQ at any time during their hospital stay versus no HCQ exposure (OR: 1.81, 95% CI: 1.20-2.77, p = 0.01). CONCLUSIONS: In this retrospective analysis, we found that there was no benefit of administration of HCQ on mortality in COVID-19 patients. These results support recent changes to clinical trials that discourage the use of HCQ in COVID-19 patients.

Utilizing Pharmacists to Optimize Medication Management Strategies During the COVID-19 Pandemic.

As the COVID-19 pandemic swept through the United States, our heath-system mobilized clinical pharmacy services to address critical clinical medication management needs. Reinforcing recommended medication management strategies for clinical pharmacists was key to successful implementation. Best practice strategies include converting patients from intravenous (IV) to oral medication, transitioning to IV push medication administration, evaluating standard medication administration timing, reviewing metered dose inhaler (MDI) and nebulizer utilization, using alternatives for medications in short supply, reviewing coronavirus disease COVID-19 treatment recommendations, reviewing COVID-19 patient care on interdisciplinary rounds, de-prescribing and de-escalating to eliminate unnecessary medications, and assessing for appropriate venous thromboembolism prophylaxis. These strategies served to help protect medication supply, reduce number of staff entries into patient rooms to conserve personal protective equipment, limit nursing time in patient rooms to reduce COVID-19 exposure risk, and to conserve compounding supplies. Here we present example medication management guidance as used by a large healthcare system during the COVID-19 pandemic.

Patient characteristics and admitting vital signs associated with coronavirus disease 2019 (COVID-19)-related mortality among patients admitted with noncritical illness.

OBJECTIVE: To determine risk factors for mortality among COVID-19 patients admitted to a system of community hospitals in the United States. DESIGN: Retrospective analysis of patient data collected from the routine care of COVID-19 patients. SETTING: System of >180 acute-care facilities in the United States. PARTICIPANTS: All admitted patients with positive identification of COVID-19 and a documented discharge as of May 12, 2020. METHODS: Determination of demographic characteristics, vital signs at admission, patient comorbidities and recorded discharge disposition in this population to construct a logistic regression estimating the odds of mortality, particular for those patients characterized as not being critically ill at admission. RESULTS: In total, 6,180 COVID-19+ patients were identified as of May 12, 2020. Most COVID-19+ patients (4,808, 77.8%) were admitted directly to a medical-surgical unit with no documented critical care or mechanical ventilation within 8 hours of admission. After adjusting for demographic characteristics, comorbidities, and vital signs at admission in this subgroup, the largest driver of the odds of mortality was patient age (OR, 1.07; 95% CI, 1.06-1.08; P < .001). Decreased oxygen saturation at admission was associated with increased odds of mortality (OR, 1.09; 95% CI, 1.06-1.12; P < .001) as was diabetes (OR, 1.57; 95% CI, 1.21-2.03; P < .001). CONCLUSIONS: The identification of factors observable at admission that are associated with mortality in COVID-19 patients who are initially admitted to non-critical care units may help care providers, hospital epidemiologists, and hospital safety experts better plan for the care of these patients.