Holding the hope? Therapist and client perspectives on long COVID recovery: A Q-methodology.

PURPOSE: Long COVID is a global health concern which has debilitating effects on the individual experiencing it. In the United Kingdom, psychological therapies are being offered to people with long COVID, although the evidence for these therapies is yet to be demonstrated. This research aimed to understand how therapists and clients define and understand recovery from long COVID, and use hope theory to interpret the results. METHODS: An online Q-methodology was employed, where participants sorted a range of statements pertaining to long COVID recovery based on their level of agreement with them. These arranged statements (Q-sorts) were collated and factor analysed to explore and compare underlying perspectives. RESULTS: Sixteen participants were recruited for the study, including eleven clients, four IAPT therapists and one therapist working in the broader long COVID pathway. A four-factor model is reported, including (1) Psychological Pathways to Recovery, (2) Social Context and Agency, (3) Physiological Goals of Recovery and (4) Personal Meaning Making. All IAPT therapists loaded onto the psychological pathways factor, whereas the remaining participants shared more diverse perspectives. CONCLUSIONS: The belief that long COVID recovery was possible, taken as an indicator of hopefulness, was rated highest for Factor 1, Psychological Pathways to Recovery, and Factor 3, Physiological Recovery Goals. This suggested that having a clear definition of recovery, or clear guidance on how to intervene, promoted hopefulness and, theoretically, well-being. However, clients reported experiences of being invalidated and disbelieved by health professionals, with psychological explanations sometimes being experienced as dismissive and invalidating. Clinical implications and future research directions are discussed.

'We don't have the answers': What do we know about the experiences of psychological professionals providing virtual psychological support to people with intellectual disabilities during the COVID-19 pandemic?

BACKGROUND: Government restrictions enforced globally in response to COVID-19 necessitated changes to the delivery of mental health services, with many psychology professionals (PPs) forced to transfer their face-to-face practice to virtual means (telephone/video therapy) overnight. This review explores what is known about the experiences of PPs providing psychological support to people with intellectual disabilities (PWID) during the pandemic. METHOD: Literature was systematically searched and 11 papers were identified, critically appraised and thematically synthesised. RESULTS: Four themes were synthesised from findings: (1) 'Impact at Service Level', (2) 'The Emotional Impact on PPs', (3) 'The Limitations of Virtual Support', (4) 'Unexpected Gains'. CONCLUSIONS: This review highlights the challenges and positives in experiences of PPs, whilst acknowledging the inequalities experienced by PWID. It is hoped that the findings can be used to aid education and training, and inform future practice and policy. Future research is recommended.

Polyanion order controls liquid-to-solid phase transition in peptide/nucleic acid co-assembly.

The Central Dogma highlights the mutualistic functions of protein and nucleic acid biopolymers, and this synergy appears prominently in the membraneless organelles widely distributed throughout prokaryotic and eukaryotic organisms alike. Ribonucleoprotein granules (RNPs), which are complex coacervates of RNA with proteins, are a prime example of these membranelles organelles and underly multiple essential cellular functions. Inspired by the highly dynamic character of these organelles and the recent studies that ATP both inhibits and templates phase separation of the fused in sarcoma (FUS) protein implicated in several neurodegenerative diseases, we explored the RNA templated ordering of a single motif of the Aß peptide of Alzheimer's disease. We now know that this strong cross-ß propensity motif alone assembles through a liquid-like coacervate phase that can be externally templated to form distinct supramolecular assemblies. Now we provide evidence that structured phosphates, ranging from complex structures like double stranded and quadraplex DNA to simple trimetaphosphate, differentially impact the liquid to solid phase transition necessary for paracrystalline assembly. The results from this simple model illustrate the potential of ordered environmental templates in the transition to potentially irreversible pathogenic assemblies and provides insight into the ordering dynamics necessary for creating functional synthetic polymer co-assemblies.

Outside the Military "Bubble": Life After Service for UK Ex-armed Forces Personnel.

Military personnel who have seen active service can be affected by their experiences. Much of the literature on the mental and physical health battles faced by men and women who leave the Armed Forces is dominated by research in the United States (US) (1), and is particularly focused on exposure to deployment, combat conditions, and effects on mental health. Research in the United Kingdom (UK) tends to focus on depression or alcohol misuse and the impact these issues have on currently serving personnel. This study aimed to present UK veterans' first-hand experiences related to military service, access to and use of mental healthcare and interventions, and the impact of transition on the military family. Semi-structured interviews explored experiences of 30 participants (27 male, 3 female). Participants ranged in age from 26 to 92 years (M = 53.33), and across multiple war cohorts (from WWII to Iraq and Afghanistan). Data were analyzed using Thematic Analysis and Narrative Analysis. Findings show meaning-making from experiences of transition across veteran cohorts. Main themes were reasons for leaving Armed Forces, life outside the military, and mental health concerns after service. Subordinate themes additionally focused on evaluation of identity and mental health service provision. Future clinical research should include the experiences of UK serving personnel and the effects of pre-and post-military adversity, alongside the impact of deployment experiences. Interventions designed to address transition into life after service are discussed.

Optimizing human pulmonary perfusion measurement using an in silico model of arterial spin labeling magnetic resonance imaging.

Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is an imaging methodology that uses blood as an endogenous contrast agent to quantify flow. One limitation of this method of capillary blood quantification when applied in the lung is the contribution of signals from non-capillary blood. Intensity thresholding is one approach that has been proposed for minimizing the non-capillary blood signal. This method has been tested in previous in silico modeling studies; however, it has only been tested under a restricted set of physiological conditions (supine posture and a cardiac output of 5 L/min). This study presents an in silico approach that extends previous intensity thresholding analysis to estimate the optimal "per-slice" intensity threshold value using the individual components of the simulated ASL signal (signal arising independently from capillary blood as well as pulmonary arterial and pulmonary venous blood). The aim of this study was to assess whether the threshold value should vary with slice location, posture, or cardiac output. We applied an in silico modeling approach to predict the blood flow distribution and the corresponding ASL quantification of pulmonary perfusion in multiple sagittal imaging slices. There was a significant increase in ASL signal and heterogeneity (COV = 0.90 to COV = 1.65) of ASL signals when slice location changed from lateral to medial. Heterogeneity of the ASL signal within a slice was significantly lower (P = 0.03) in prone (COV = 1.08) compared to in the supine posture (COV = 1.17). Increasing stroke volume resulted in an increase in ASL signal and conversely an increase in heart rate resulted in a decrease in ASL signal. However, when cardiac output was increased via an increase in both stroke volume and heart rate, ASL signal remained relatively constant. Despite these differences, we conclude that a threshold value of 35% provides optimal removal of large vessel signal independent of slice location, posture, and cardiac output.

A systems approach to healthcare: agent-based modeling, community mental health, and population well-being.

PURPOSE: Explore whether agent-based modeling and simulation can help healthcare administrators discover interventions that increase population wellness and quality of care while, simultaneously, decreasing costs. Since important dynamics often lie in the social determinants outside the health facilities that provide services, this study thus models the problem at three levels (individuals, organizations, and society). METHODS: The study explores the utility of translating an existing (prize winning) software for modeling complex societal systems and agent's daily life activities (like a Sim City style of software), into a desired decision support system. A case study tests if the 3 levels of system modeling approach is feasible, valid, and useful. The case study involves an urban population with serious mental health and Philadelphia's Medicaid population (n=527,056), in particular. RESULTS: Section 3 explains the models using data from the case study and thereby establishes feasibility of the approach for modeling a real system. The models were trained and tuned using national epidemiologic datasets and various domain expert inputs. To avoid co-mingling of training and testing data, the simulations were then run and compared (Section 4.1) to an analysis of 250,000 Philadelphia patient hospital admissions for the year 2010 in terms of re-hospitalization rate, number of doctor visits, and days in hospital. Based on the Student t-test, deviations between simulated vs. real world outcomes are not statistically significant. Validity is thus established for the 2008-2010 timeframe. We computed models of various types of interventions that were ineffective as well as 4 categories of interventions (e.g., reduced per-nurse caseload, increased check-ins and stays, etc.) that result in improvement in well-being and cost. CONCLUSIONS: The 3 level approach appears to be useful to help health administrators sort through system complexities to find effective interventions at lower costs.