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Aims: The DisCOVery study sought to better understand the experiences of young people with complex emerging mental health problems over the longer-term social restrictions related to the COVID-19 pandemic. Following the 'social cure' theory, this study aimed to investigate the association, and potential mechanisms, of group membership continuity and reducing mental ill-health amongst vulnerable young people. Method(s): Cross-sectional survey data from a sample of 105 young people aged 16-35, collected approximately 1 year after the global COVID-19 outbreak (January-July 2021). Correlational and path analyses were used to test the associations between group membership continuity and mental health problems (depression, anxiety, psychotic-like experiences), and the mediation of these associations by hope and social connectedness (in-person and online). Results and Conclusion(s): Prior multiple group memberships were associated with the preservation of group memberships during the COVID-19 pandemic. In-person social connectedness, online social connectedness and hope mediated the relationship between group membership continuity and mental health problem symptoms. The results suggest that clinical and public health practice should support vulnerable young people to foster and maintain their social group memberships, hopefulness and perceived sense of social connectedness as a means to potentially help prevent exacerbated symptoms and promote recovery of mental health problems, particularly during significant life events.
RESUMEN
The DisCOVery study sought to better understand the experiences of young people with complex emerging mental health problems over the longer-term social restrictions related to the COVID-19 pandemic Quantitative findings (N = 105) will be shared to demonstrated how belonging to multiple social groups can promote better mental health through the provision of hopefulness and social connectedness. Qualitative findings (N = 16) will be shared to elucidate how young people with complex emerging mental health problems experienced social connectedness during the ongoing social restrictions, and how they perceive social connection to be associated with their well-being Results also indicate young people's social preferences and the complex role of in-person versus online connection and interaction. A brief summary will be given regarding a linked trial (TOGETHER), evaluating the feasibility of delivering a social connectedness-focused intervention for young people with emerging complex mental health problems across clinical and community services in the UK.
RESUMEN
This paper proposes and analyses a stochastic model for the spread of an infectious disease transmitted between clients and care workers in the UK domiciliary (home) care setting. Interactions between clients and care workers are modelled using specially generated networks, with network parameters reflecting realistic patterns of care needs and visit allocation. These networks are then used to simulate a susceptible-exposed-infected-recovered/dead (SEIR/D)-type epidemic dynamics with different numbers of infectious and recovery stages. The results indicate that with the same overall capacity provided by care workers, the minimum peak proportion of infection and the smallest overall size of infection are achieved for the highest proportion of overlap between visit allocation, i.e. when care workers have the highest chances of being allocated a visit to the same client they have visited before. An intuitive explanation of this is that while providing the required care coverage, maximising overlap in visit allocation reduces the possibility of an infectious care worker inadvertently spreading the infection to other clients. The model is generic and can be adapted to any directly transmitted infectious disease, such as, more recently, corona virus disease 2019, provided accurate estimates of disease parameters can be obtained from real data.