During the COVID-19 pandemic, mental health problems increased as access to mental health services reduced. Recovery colleges are recovery-focused adult education initiatives delivered by people with professional and lived mental health expertise. Designed to be collaborative and inclusive, they were uniquely positioned to support people experiencing mental health problems during the pandemic. There is limited research exploring the lasting impacts of the pandemic on recovery college operation and delivery to students.

To ascertain how the COVID-19 pandemic changed recovery college operation in England.

We coproduced a qualitative interview study of recovery college managers across the UK. Academics and co-researchers with lived mental health experience collaborated on conducting interviews and analysing data, using a collaborative thematic framework analysis.

Thirty-one managers participated. Five themes were identified: complex organisational relationships, changed ways of working, navigating the rapid transition to digital delivery, responding to isolation and changes to accessibility. Two key pandemic-related changes to recovery college operation were highlighted: their use as accessible services that relieve pressure on mental health services through hybrid face-to-face and digital course delivery, and the development of digitally delivered courses for individuals with mental health needs.

The pandemic either led to or accelerated developments in recovery college operation, leading to a positioning of recovery colleges as a preventative service with wider accessibility to people with mental health problems, people under the care of forensic mental health services and mental healthcare staff. These benefits are strengthened by relationships with partner organisations and autonomy from statutory healthcare infrastructures.

When deciding between now and later, the tendency to devalue later outcomes is known as temporal discounting. The degree of devaluing is known as one’s discounting rate. Steeper temporal discounting rates indicate preferences for immediate gains and delayed losses, reflecting a desire for instant gratification and greater loss aversion, respectfully. Considering that decrements in decision-making abilities may precipitate cognitive dysfunction and decline, a better understanding of decision-making preferences among older adults represents an important endeavor. Thus, the current study aimed to investigate whether differences among temporal discounting rates for gains and losses exist when outcomes are monetary or interpersonal in nature.

One hundred and forty community-dwelling older adults aged 50 to 90 (75% female, Mage=71.6) completed a hypothetical discounting task in which they chose between smaller immediate outcomes and larger delayed outcomes presented at various delay periods of one week, one month, six months, and one year. An iterative algorithm determined the indifference point for each delay period. Indifference points were fit to hyperbolic models using nonlinear regressions to determine discounting rates within each condition. Nonparametric Wilcoxon Signed-Rank tests compared discounting rates.

Older adults more steeply discounted monetary gains as compared to monetary losses (Z=-6.88, p<.001), as well as for social gains compared to social losses (Z=-4.81, p<.001). They also discounted social gains more steeply than monetary gains (Z=-5.44, p<.001), and social losses more steeply than monetary losses (Z=-4.44, p<.001).

Preliminary findings suggest older adults displayed a greater desire for instant gratification of rewards, particularly social rewards, yet also displayed lower loss aversion, particularly for monetary losses. Stronger preferences for instant gratification of gains in certain contexts may inform ways in which healthier lifestyle choices or changes could be framed to appeal to older adults.

The surge in critically ill patients has pressured hospitals to expand their intensive care unit capacities and critical care staff. This was difficult given the country’s shortage of intensivists. This paper describes the implementation of a multidisciplinary central line placement team and its impact in reducing the vascular access workload of ICU physicians during the height of the COVID-19 pandemic.

Vascular surgeons, interventionalists, and anesthesiologists, were redeployed to the ICU Access team to place central and arterial lines. Nurses with expertise in vascular access were recruited to the team to streamline consultation and assist with line placement.

While 51 central and arterial lines were placed per 100 ICU patients in 2019, there were 87 central and arterial lines placed per 100 COVID-19 ICU patients in the sole month of April, 2020. The ICU Access Team placed 107 of the 226 vascular access devices in April 2020, reducing the procedure-related workload of ICU treating teams by 46%.

The ICU Access Team was able to complete a large proportion of vascular access insertions without reported complications. Given another mass casualty event, this ICU Access Team could be reassembled to rapidly meet the increased vascular access needs of patients.

To characterize and compare severe acute respiratory coronavirus virus 2 (SARS-CoV-2)–specific immune responses in plasma and gingival crevicular fluid (GCF) from nursing home residents during and after natural infection.

Prospective cohort.

Nursing home.

SARS-CoV-2–infected nursing home residents.

A convenience sample of 14 SARS-CoV-2–infected nursing home residents, enrolled 4–13 days after real-time reverse transcription polymerase chain reaction diagnosis, were followed for 42 days. After diagnosis, plasma SARS-CoV-2–specific pan-Immunoglobulin (Ig), IgG, IgA, IgM, and neutralizing antibodies were measured at 5 time points, and GCF SARS-CoV-2–specific IgG and IgA were measured at 4 time points.

All participants demonstrated immune responses to SARS-CoV-2 infection. Among 12 phlebotomized participants, plasma was positive for pan-Ig and IgG in all 12 participants. Neutralizing antibodies were positive in 11 participants; IgM was positive in 10 participants, and IgA was positive in 9 participants. Among 14 participants with GCF specimens, GCF was positive for IgG in 13 participants and for IgA in 12 participants. Immunoglobulin responses in plasma and GCF had similar kinetics; median times to peak antibody response were similar across specimen types (4 weeks for IgG; 3 weeks for IgA). Participants with pan-Ig, IgG, and IgA detected in plasma and GCF IgG remained positive throughout this evaluation, 46–55 days after diagnosis. All participants were viral-culture negative by the first detection of antibodies.

Nursing home residents had detectable SARS-CoV-2 antibodies in plasma and GCF after infection. Kinetics of antibodies detected in GCF mirrored those from plasma. Noninvasive GCF may be useful for detecting and monitoring immunologic responses in populations unable or unwilling to be phlebotomized.

The First Episode Rapid Early Intervention for Eating Disorders (FREED) service model is associated with significant reductions in wait times and improved clinical outcomes for emerging adults with recent-onset eating disorders. An understanding of how FREED is implemented is a necessary precondition to enable an attribution of these findings to key components of the model, namely the wait-time targets and care package.

This study evaluated fidelity to the FREED service model during the multicentre FREED-Up study.

Participants were 259 emerging adults (aged 16–25 years) with an eating disorder of <3 years duration, offered treatment through the FREED care pathway. Patient journey records documented patient care from screening to end of treatment. Adherence to wait-time targets (engagement call within 48 h, assessment within 2 weeks, treatment within 4 weeks) and care package, and differences in adherence across diagnosis and treatment group were examined.

There were significant increases (16–40%) in adherence to the wait-time targets following the introduction of FREED, irrespective of diagnosis. Receiving FREED under optimal conditions also increased adherence to the targets. Care package use differed by component and diagnosis. The most used care package activities were psychoeducation and dietary change. Attention to transitions was less well used.

This study provides an indication of adherence levels to key components of the FREED model. These adherence rates can tentatively be considered as clinically meaningful thresholds. Results highlight aspects of the model and its implementation that warrant future examination.

Recent evidence suggests that quitline text messaging is an effective treatment for smoking cessation, but little is known about the relative effectiveness of the message content.

A pilot study of the effects of gain-framed (GF; focused on the benefits of quitting) versus loss-framed (LF; focused on the costs of continued smoking) text messages among smokers contacting a quitline.

Participants were randomized to receive LF (N = 300) or GF (N = 300) text messages for 30 weeks. Self-reported 7-day point prevalence abstinence and number of 24 h quit attempts were assessed at week 30. Intent-to-treat (ITT) and responder analyses for smoking cessation were conducted using logistic regression.

The ITT analysis showed 17% of the GF group quit smoking compared to 15% in the LF group (P = 0.508). The responder analysis showed 44% of the GF group quit smoking compared to 35% in the LF group (P = 0.154). More participants in the GF group reported making a 24 h quit attempt compared to the LF group (98% vs. 93%, P = 0.046).

Although there were no differences in abstinence rates between groups at the week 30 follow-up, participants in the GF group made more quit attempts than those in the LF group.

During mass gatherings, such as marathons, the provision of timely access to health care services is required for the mass gathering population as well as the local community. However, effective provision of health care during sporting mass gatherings is not well understood.

To describe the structures and processes developed for an emergency team to operate an in-event acute health care facility during one of the largest mass sporting participation events in the southern hemisphere, the Gold Coast marathon.

A pragmatic qualitative methodology was used to describe the structures and processes required to operate an in-event acute health care facility providing services for marathon runners and spectators. Content analysis from 12 semi-structured interviews with Emergency Department (ED) clinical staff working during the two-day event was undertaken in 2016.

Structural elements that underpinned the in-event health care facility included: physical spaces such as the clinical zones in the marathon health tent, tent access, and egress points; and resources such as bilingual staff, senior medical staff, and equipment such as electrocardiograms. Critical processes included: clear communication pathways, interprofessional care coordination, and engagement involving shared knowledge of and access to resources. Distinct but overlapping clinical scope between nurses and doctors was also noted as important for timely care provision and appropriate case management. Staff outlined many perceived benefits and opportunities of in-event health care delivery including ED avoidance and disaster training.

This in-event model of emergency care delivery enabled acute out-of-hospital health care to be delivered in a portable and transportable facility. Clinical staff reported satisfaction with their ability to provide a meaningful contribution to hospital avoidance and to the local community. With the number of sporting mass gatherings increasing, this temporary, in-event model of health care provision is one option for event and health care planners to consider.

Mass gatherings such as marathons are increasingly frequent. During mass gatherings, the provision of timely access to health care services is required for the mass-gathering population, as well as for the local community. However, the nature and impact of health care provision during sporting mass gatherings is not well-understood.

The aim of this study was to describe the structures and processes developed for an emergency health team to operate an in-event, acute health care facility during one of the largest mass-sporting participation events in the southern hemisphere, the Gold Coast Marathon (Queensland, Australia).

A pragmatic, qualitative methodology was used to describe the structures and processes required to operate an in-event, acute health care facility providing services for marathon runners and spectators. Content analysis from 12 semi-structured interviews with emergency department (ED) clinical staff working during the two-day event was undertaken in 2016.

Important structural elements of the in-event health care facility included: physical spaces, such as the clinical zones in the marathon health tent and surrounding area, and access and egress points; and resources such as bilingual staff, senior medical staff, and equipment such as electrocardiograms (ECGs) and intravenous fluids. Process elements of the in-event health care facility included clear communication pathways, as well as inter-professional care coordination and engagement involving shared knowledge of and access to resources, and distinct but overlapping clinical scope between nurses and doctors. This was seen to be critical for timely care provision and appropriate case management. Staff reported many perceived benefits and opportunities of in-event health care delivery, including ED avoidance and disaster training.

This in-event model of emergency care delivery, established in an out-of-hospital location, enabled the delivery of acute health care that could be clearly described and defined. Staff reported satisfaction with their ability to provide a meaningful contribution to hospital avoidance and to the local community. With the number of sporting mass gatherings increasing, this temporary, in-event model of health care provision is one option for event and health care planners to consider.

JohnstonANB, WadhamJ, Polong-BrownJ, AitkenM, RanseJ, HuttonA, RichardsB, CrillyJ.Health Care Provision During a Sporting Mass Gathering: A Structure and Process Description of On-Site Care Delivery. Prehosp Disaster Med. 2019;34(1):62–71.