Around one in ten people who contract COVID-19 report persistent symptoms or ‘long COVID’. Impaired mental health and well-being is commonly reported, including anxiety, depression and reduced quality of life. However, there is limited in-depth research exploring why mental health and well-being are affected in people experiencing long COVID.

To explore factors affecting mental health and well-being from the perspective of people with long COVID.

Semi-structured qualitative interviews were audio-recorded and transcribed. Data were analysed using reflexive thematic analysis. Twenty-one people with long COVID participated in the study. Participants were eligible if they self-reported a positive swab test/antibody test or one or more commonly reported COVID-19 symptoms at illness onset. and experiences of one or more long COVID symptoms ≥3 weeks following illness onset.

Five themes were identified across participant accounts regarding factors affecting mental health and well-being, including symptoms causing severe disruption to daily life, lack of service and treatment options, uncertainty of illness trajectories, experiences of care and understanding from others and changes to identity.

People with long COVID experience a range of factors that negatively affect their mental health and well-being. Providing patient-centred health services that integrate rapidly evolving research in this area is important, as are peer support groups and supported approaches to self-management.

The coronavirus disease 2019 (COVID-19) pandemic has caused a global health crisis and may have affected healthcare-associated infection (HAI) prevention strategies. We evaluated the impact of the COVID-19 pandemic on HAI incidence in Brazilian intensive care units (ICUs).

In this ecological study, we compared adult patients admitted to the ICU from April through June 2020 (pandemic period) with the same period in 2019 (prepandemic period) in 21 Brazilian hospitals. We used the Wilcoxon signed rank-sum test in a pairwise analysis to compare the following differences between the pandemic and the prepandemic periods: microbiologically confirmed central-line–associated bloodstream infection (CLABSI) and ventilator-associated pneumonia (VAP) incidence density (cases per 1,000 central line and ventilator days, respectively), the proportion of organisms that caused HAI, and antibiotic consumption (DDD).

We detected a significant increase in median CLABSI incidence during the pandemic: 1.60 (IQR, 0.44–4.20) vs 2.81 (IQR, 1.35–6.89) (P = .002). We did not detect a significant difference in VAP incidence between the 2 periods. In addition, we detected a significant increase in the proportion of CLABSI caused by Enterococcus faecalis and Candida spp during the pandemic, although only the latter retained statistical significance after correction for multiple comparisons. We did not detect a significant change in ceftriaxone, piperacillin–tazobactam, meropenem, or vancomycin consumption between the studied periods.

There was an increase in CLABSI incidence in Brazilian ICUs during the first months of COVID-19 pandemic. Additionally, we detected an increase in the proportion of CLABSI caused by E. faecalis and Candida spp during this period. CLABSI prevention strategies must be reinforced in ICUs during the COVID-19 pandemic.

The objective of this study was to identify the perceived problems by medical and nursing professionals that have arisen in the Spanish Emergency Medical Services (EMS) as a consequence of the first wave of the severe acute respiratory syndrome-coronavirus-2/SARS-CoV-2 pandemic, as well as the measures or solutions adopted to manage those problems and improve response.

This was a cross-sectional study of quantitative and qualitative methodology (“mixed methods”) using a self-administered questionnaire in 23 key informants of EMS of Spain selected by purposeful sampling, followed by the statistical analysis of both types of variables and an integration of the results in the discussion.

Common problems had been identified in many EMS, as well as similar solutions in some of them. Among the former, the following had been found: lack of leadership and support from managers, initial shortage of personal protective equipment (PPE), lack of participation in decision making, initial lack of clinical protocols, and slowness and/or lack of adaptability of the system, among others. Among the solutions adopted: reinforcement of emergency call centers, development of specific coronavirus disease 2019 (COVID-19) telephone lines and new resources, personal effort of professionals, new functions of EMS, support to other structures, and reinforcement of the role of nursing.

The general perception among the respondents was that there was a lack of support and communication with health care managers and that the staff expertise was not used by policy makers to make decisions adapted to reality, also expressing the need to improve the capacity for analysis of the EMS response. Few respondents reported good overall satisfaction with their EMS response. The EMS adopted different types of measures to adapt to the COVID-19 pandemic.

Analysis of the otorhinolaryngological problems caused by mask-wearing in the coronavirus disease 2019 era.

A survey with 26 questions was sent by e-mail to 576 individuals.

The most frequently worn masks were three-layer surgical ear loop masks (n = 434, 80.1 per cent), followed by N95 or filtering facepiece code 2 masks (n = 58, 10.7 per cent), and cloth masks (n = 50, 9.2 per cent). The most bothersome symptoms caused by mask-wearing were difficulty in nasal breathing (n = 227, 41.8 per cent), nasal itching and pain (n = 93, 17.2 per cent), earache (n = 88, 16.2 per cent), difficulty in expressing oneself (n = 73, 13.5 per cent), difficulty in understanding speech (n = 56, 10.3 per cent), and ear itching (n = 5, 0.9 per cent).

The problems associated with mask-wearing may result in avoidance of wearing them. Thus, there is a need for new methods that will reduce the problems related to mask-wearing, to increase their use in the community.

The coronavirus disease 2019 (COVID-19) pandemic is bringing to light the long-neglected area of mental health. Current evidence demonstrates an increase in mental, neurological and substance use conditions globally. Although long-established as a leading cause of disease burden, mental health has been historically grossly underfunded. This analysis seeks to demonstrate the extent to which funding for mental health has been prioritised within the international COVID-19 response.

The authors analysed the development and humanitarian funding through data provided by the International Aid Transparency Initiative. Project-level COVID-19 data from January 2020 to March 2021 were reviewed for mental health relevance. Relevant projects were then classified into categories based on populations of concern for mental health and the degree of COVID-19 involvement. Financial information was assessed through project transaction data in US Dollars.

Of the 8319 projects provided, 417 were mental health relevant. Mental health-relevant funding accounted for less than 2% of all COVID-19 development and humanitarian funding. Target populations which received the majority of mental health relevant funding were children and humanitarian populations, and 46% of funding went towards activities which combined COVID-19 responses with general humanitarian actions. Over half of mental health relevant funding was received by ten countries, and ten donor organisations provided almost 90% of funding.

This analysis shows that the international donor community is currently falling short in supporting mental health within and beyond the COVID-19 pandemic. As the pandemic continues, sustainable country-led awareness, treatment, and prevention for mental, neurological and substance use conditions must be prioritised

The COVID-19 pandemic has had profound consequences for population mental health. However, it is less clear for whom these effects are sustained.

To investigate the prevalence, incidence, prognosis and risk factors for symptoms of depression and anxiety in a UK cohort over three distinct periods in the pandemic in 2020.

An online survey was completed by a UK community cohort at three points (n = 3097 at baseline, n = 878 completed all surveys): April (baseline), July to September (time point 2) and November to December (time point 3). Participants completed validated measures of depression and anxiety on each occasion, and we prospectively explored the role of sociodemographic and psychological factors (loneliness, positive mood and perceived risk of and worry about COVID-19) as risk factors.

Depression (Patient Health Questionnaire-9 means: baseline, 7.69; time point 2, 5.53; time point 3, 6.06) and anxiety scores (Generalised Anxiety Disorder-7 means: baseline, 6.59; time point 2, 4.60; time point 3, 4.98) were considerably greater than pre-pandemic population norms at all time points. Women reported greater depression and anxiety symptoms than men. Younger age, history of mental health disorder, more COVID-19-related negative life events, greater loneliness and lower positive mood at baseline were all significant predictors of poorer mental health at time point 3.

The negative impact of the COVID-19 pandemic on mental health has persisted to some degree. Younger people and individuals with prior mental health disorders are at greatest risk. Easing of restrictions and resumption of social interaction could mitigate the risk factors of loneliness and positive mood.

Risk perception among nurses after the COVID-19 pandemic is a crucial factor affecting their attitudes and willingness to work in clinics. Those with poor psychological status could perceive risks sensitively as fears or threats that are discouraging. This article aimed to determine whether psychological outcomes, including post-traumatic stress disorder (PTSD), depression, anxiety, and insomnia, following the COVID-19 pandemic were differentially related to the risk perceptions of nurses working in clinics and increased perceived risk.

The participants were 668 nurse clinicians from five local hospitals. Risk perceptions and psychological outcomes were measured by adapted questionnaires via the Internet. Latent profile analysis (LPA) identified subgroups of individuals who showed similar profiles regarding the perceived risks in nursing. Multinomial regression and probit regression were used to examine the extent to which sociodemographic and psychological outcomes predicted class membership.

LPA revealed four classes: groups with low-, mild-, moderate-, and high-level risk perceptions. Membership of the high-level risk perception class was predicted by the severity of psychological outcomes. Anxiety significantly accounted for a moderate increase in risk perceptions, while the symptoms of insomnia, depression, and PTSD accelerated the increase to the high level of risk perception class.

By classifying groups of nurse clinicians sharing similar profiles regarding risk perceptions and then exploring associated predictors, this study shows the psychological outcomes after COVID-19 significantly impacted pandemic-associated risk perceptions and suggests intervening in nurses' psychological outcomes while simultaneously focusing on work-related worries is important following the outbreak of COVID-19.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) has high morbidity and mortality in older adults and people with dementia. Infection control and prevention measures potentially reduce transmission within hospitals.

We aimed to replicate our earlier study of London mental health in-patients to examine changes in clinical guidance and practice and associated COVID-19 prevalence and outcomes between COVID-19 waves 1 and 2 (1 March to 30 April 2020 and 14 December 2020 to 15 February 2021).

We collected the 2 month period prevalence of wave 2 of COVID-19 in older (≥65 years) in-patients and those with dementia, as well as patients’ characteristics, management and outcomes, including vaccinations. We compared these results with those of our wave 1 study.

Sites reported that routine testing and personal protective equipment were available, and routine patient isolation on admission occurred throughout wave 2. COVID-19 infection occurred in 91/358 (25%; 95% CI 21–30%) v. 131/344, (38%; 95% CI 33–43%) P < 0.001 in wave 1. Hospitals identified more asymptomatic carriers (26/91; 29% v. 16/130; 12%) and fewer deaths (12/91; 13% v. 19/131; 15%; odds ratio = 0.92; 0.37–1.81) compared with wave 1. The patient vaccination uptake rate was 49/58 (85%).

Patients in psychiatric in-patient settings, mostly admitted without known SARS-CoV-2 infection, had a high risk of infection compared with people in the community but lower than that during wave 1. Availability of infection control measures in line with a policy of parity of esteem between mental and physical health appears to have lowered within-hospital COVID-19 infections and deaths. Cautious management of vulnerable patient groups including mental health patients may reduce the future impact of COVID-19.

There is evidence that the COVID-19 pandemic has negatively affected mental health, but most studies have been conducted in the general population.

To identify factors associated with mental health during the COVID-19 pandemic in individuals with pre-existing mental illness.

Participants (N = 2869, 78% women, ages 18–94 years) from a UK cohort (the National Centre for Mental Health) with a history of mental illness completed a cross-sectional online survey in June to August 2020. Mental health assessments were the GAD-7 (anxiety), PHQ-9 (depression) and WHO-5 (well-being) questionnaires, and a self-report question on whether their mental health had changed during the pandemic. Regressions examined associations between mental health outcomes and hypothesised risk factors. Secondary analyses examined associations between specific mental health diagnoses and mental health.

A total of 60% of participants reported that mental health had worsened during the pandemic. Younger age, difficulty accessing mental health services, low income, income affected by COVID-19, worry about COVID-19, reduced sleep and increased alcohol/drug use were associated with increased depression and anxiety symptoms and reduced well-being. Feeling socially supported by friends/family/services was associated with better mental health and well-being. Participants with a history of anxiety, depression, post-traumatic stress disorder or eating disorder were more likely to report that mental health had worsened during the pandemic than individuals without a history of these diagnoses.

We identified factors associated with worse mental health during the COVID-19 pandemic in individuals with pre-existing mental illness, in addition to specific groups potentially at elevated risk of poor mental health during the pandemic.

The spread of COVID-19 has made it difficult to provide training in medical treatment in a radiation disaster. In this study, we will examine the effects and challenges of using a hybrid approach that combines online and face-to-face components.

A total of 5 face-to face and 25 online medical staff participated in the training program. This program was conducted by using multiple cameras for live coverage, while protective clothing and decontamination kits had been sent in advance to the participants so that they could experience face-to-face and online learning at the same time.

Participants reported a high level of satisfaction and achievement with the style of delivery. They also experienced problems such as fatigue due to long hours, and dissatisfaction with the debriefing.

In designing new online training, it is necessary to consider the quantity and content of the program, and to take participant fatigue into consideration.

Wearing face masks is believed to mitigate coronavirus disease 2019 (COVID-19) virus transmission by filtering respiratory droplets. This study was to explore the factors influencing wearing face masks in public in China during COVID-19 outbreak.

This study was a qualitative semi-structured interview research design and was guided by the Protection Motivation Theory. Participants from Jiangxi Province China were interviewed by means of WeChat video call. Thematic analysis was used to analyze the data.

Recruitment efforts were suspended when 21 participants (aged 23 to 72 y) were successfully enrolled and the data reached thematic saturation. Four themes were identified when participants described factors influencing them to wear face masks: knowledge of disease (subthemes were severity of disease, and individual vulnerability to disease), environmental facilitators and constraints (subthemes were government recommendations, public opinion, and affordability and availability of face masks), understanding of protection effectiveness (subthemes were protection effectiveness of wearing face masks, and selection of protective measures), and past experiences.

Individuals’ decision to wear face masks was influenced by the combination of factors identified. Identification of these factors provides guidance for explaining wearing face masks in public and helps policy-makers develop feasible recommendations for wearing face masks during COVID-19 outbreak.