The coronavirus disease 2019 (COVID-19) pandemic has impacted global mental health, with individuals with severe mental illness (SMI) being particularly vulnerable. Research on changes in psychiatric symptoms during this pandemic has yielded inconsistent results, often due to individual heterogeneity and a limited focus on broader outcomes such as psychosocial functioning, societal and personal recovery, and quality of life (QoL). Furthermore, long-term effects remain underexplored. This longitudinal cohort study aimed to assess the COVID-19 pandemic’s impact on mental and psychosocial functioning, QoL, and recovery in individuals with SMI, and to explore individual and treatment characteristics associated with outcome changes.

Two cohorts were included, involving adults (≥18 years) diagnosed with DSM-5 disorders and experiencing long-term impairments. Participants received care between January 1, 2018 and December 31, 2023. Outcomes included the Health of the Nation Outcome Scales, the Manchester Short Assessment of Quality of Life, and the Individual Recovery Outcomes Counter. Changes were analyzed across five pandemic periods using linear mixed models.

Improvements in mental and psychosocial functioning, QoL, and recovery were observed over time, regardless of the COVID-19 pandemic period. However, progress was slower during the COVID-19 pandemic compared to pre-pandemic levels. No individual or treatment characteristics were significantly linked to changes in outcomes.

The findings suggest that the COVID-19 pandemic had a minimal negative impact on individuals with SMI. This may be due to the marginal negative effects of the pandemic on this population, or the mitigating role of stabilizing factors within the current Dutch care models.

Co-production is a relatively new concept with a history spanning back just four decades. However, it is only in the past ten years that it has been applied to mental health. It is now observed as a recovery principle whose presence is necessary for recovery-orientated services to become a reality. Despite this, today, there is still much confusion as per the philosophical, empirical and practical basis within mental health service provision, with key areas lacking theoretical clarity, for example, its definition within the mental health domain along with its ontological and epistemological stance on how the social world should be viewed and, more importantly, interpreted. As such, this paper will examine the concept of co-production within mental health service provision.

A scoping review that was compliant with the PRISMA amendments for scoping reviews and followed Arksey and O’Malley’s methodological framework was conducted. The databases CINAHL, Cochrane Online Library, Jstor, Ovid SP, PsycINFO, PsycTESTS, PubMed, RCNi, Science Direct, Web of Science and Wiley Online Library were used to search the peer-reviewed literature. This was supported by a comprehensive search of repositories for grey literature on co-production.

Ten articles were eligible for inclusion in the study. Through the use of a summative content analysis approach, the results were constructed in order to form a narrative. This narrative would reflect the key aspects of each study as they pertained to one or more of the five headings created as part of phase four of Arksey and O’Malley’s methodological framework. These headings include Co-Production Definition Used, Stated Advantages of Co-Production, Stated Disadvantages of Co-Production, Co-Production Types/Models and Implementing Co-Production.

The results of this review has added empirically to the literature base on co-production. The study highlights the lack of renumeration for those working in co-production activity that needs to be addressed. Most striking is the formal recognition, for the first time, of a philosophical war between co-production and that of evidence-based practice itself. This is an interesting but important development that requires further study in order to ensure that co-production as a recovery principle can be further enhanced and sustained into the future.

In December 2023, floods and landslides in Hanang District, Northern Tanzania, caused severe casualties, infrastructure damage, and community displacement. We describe the public health emergency response and lessons learnt during this disaster to guide future mitigations.

Retrospective data collection during the disaster was made through quantitative (description of casualties) and qualitative (interviews and focus groups) approaches to provide insights into psychosocial support, coordination, and other response pillars. Microsoft Excel (2019) was used for quantitative data analysis, and MAX Qualitative Data Analysis was used to manage qualitative data.

Soft tissue injuries, bruises, and lacerations were the most common (60.43%), with 87.77% of casualties recovering and a notable fatality rate of 12.23%. Mental health and psychosocial support reached over 3300 individuals, offering depression assessments and family reconnections. Establishing a dual-level public health response team and implementing the Incident Management System demonstrated the country’s response efficiency.

The public health emergency response to the 2023 floods and landslides in Hanang District was largely effective. This demonstrated strong coordination, capacity, and resilience of Tanzania health system; however, the fatality rate highlighted a need for further investment to improve future disaster prevention, preparedness, and response.

Although cognitive remediation (CR) improves cognition and functioning, the key features that promote or inhibit its effectiveness, especially between cognitive domains, remain unknown. Discovering these key features will help to develop CR for more impact.

To identify interrelations between cognition, symptoms, and functioning, using a novel network analysis approach and how CR affects these recovery outcomes.

A secondary analysis of randomized controlled trial data (N = 165) of CR in early psychosis. Regularized partial correlation networks were estimated, including symptoms, cognition, and functioning, for pre-, post-treatment, and change over time. Pre- and post-CR networks were compared on global strength, structure, edge invariance, and centrality invariance.

Cognition, negative, and positive symptoms were separable constructs, with symptoms showing independent relationships with cognition. Negative symptoms were central to the CR networks and most strongly associated with change in functioning. Verbal and visual learning improvement showed independent relationships to improved social functioning and negative symptoms. Only visual learning improvement was positively associated with personal goal achievement. Pre- and post-CR networks did not differ in structure (M = 0.20, p = 0.45) but differed in global strength, reflecting greater overall connectivity in the post-CR network (S = 0.91, p = 0.03).

Negative symptoms influenced network changes following therapy, and their reduction was linked to improvement in verbal and visual learning following CR. Independent relationships between visual and verbal learning and functioning suggest that they may be key intervention targets to enhance social and occupational functioning.

Few studies have examined the long-term outcomes of first-episode psychosis (FEP) among patients beyond symptomatic and functional remission. This study aimed to broaden the scope of outcome indicators by examining the relationships between 12 outcomes of FEP patients at 20.9 years after their initial diagnosis.

At follow-up, 220 out of 550 original patients underwent a new assessment. Twelve outcomes were assessed via semistructured interviews and complementary scales: symptom severity, functional impairment, personal recovery, social disadvantage, physical health, number of suicide attempts, number of episodes, current drug use, dose-years of antipsychotics (DYAps), cognitive impairment, motor abnormalities, and DSM-5 final diagnosis. The relationships between these outcome measures were investigated using Spearman’s correlation analysis and exploratory factor analysis, while the specific connections between outcomes were ascertained using network analysis.

The outcomes were significantly correlated; specifically, symptom severity, functioning, and personal recovery showed the strongest correlations. Exploratory factor analysis of the 12 outcomes revealed two factors, with 11 of the 12 outcomes loading on the first factor. Network analysis revealed that symptom severity, functioning, social disadvantage, diagnosis, cognitive impairment, DYAps, and number of episodes were the most interconnected outcomes.

Network analysis provided new insights into the heterogeneity between outcomes among patients with FEP. By considering outcomes beyond symptom severity, the rich net of interconnections elucidated herein can facilitate the development of interventions that target potentially modifiable outcomes and generalize their impact on the most interconnected outcomes.

This study explored the association among dissociative experiences, recovery from psychosis and a range of factors relevant to psychosis and analysed whether dissociative experiences (compartmentalisation, detachment and absorption) could be used to predict specific stages of recovery. A cross-sectional design was used, and 75 individuals with psychosis were recruited from the recovery services of the Gloucestershire Health and Care NHS Foundation Trust. Five questionnaires were used – the Dissociative Experiences Scale – II (DES), Detachment and Compartmentalisation Inventory (DCI), Questionnaire about the Process of Recovery, Stages of Recovery Instrument (STORI), and Positive and Negative Syndrome Scale – and a proforma was used to collect demographic data.

Our findings indicated that compartmentalisation, detachment and absorption, as measured by DES and DCI, do not predict stages of recovery as measured by the STORI.

The results of this study suggest that there is no simple relationship between dissociative and psychotic symptoms. They also suggest a need to assess these symptoms separately in practice and indicate that special approaches to treatment of psychosis may be needed in cases where such symptoms have a significant role.

The aim of this study was to explore the role of managers and employees with an assigned responsibility (i.e. inspirers) when integrating recovery-enhancing activities into everyday work in a primary health care setting.

The possibility of recovery during the workday is essential for employee wellbeing. However, the literature on workplace interventions focusing on recovery is scarce. Especially with regard to the importance of local driving forces, like managers and inspirers.

Two focus groups and two individual interviews were conducted in this qualitative interview study. In total, ten managers and inspirers from different primary health care centres were interviewed about their experiences of brief recovery interventions at their workplaces. A semi-structured interview guide was used, and the qualitative analysis was conducted by using systematic text condensation.

From a leadership perspective, two themes with promoting factors for recovery interventions were identified. These were structural promoting factors (including authorisation, communication, and integration) and cultural promoting factors (including attitude, support, and open-mindedness). This knowledge can contribute to future workplace environment development with the focus on recovery during the workday. The results also showed several positive effects of integrated recovery, both on an individual and group level. Hence, this study is a valuable addition to the work recovery research, in terms of understanding the importance of investing in recovery at work.

Natural disasters can cause widespread death and extensive physical devastation, but also harmfully impact individual and community health following a disaster event. Nature-based recovery approach can positively influence the mental health of people and community’s post-natural disasters. In response to the Australian bushfire season of 2019-2020, Zoos Victoria, in partnership with the Arthur Rylah Institute, worked with local communities in East Gippsland to support people’s recovery through experiencing, supporting, and witnessing nature’s recovery.

This mixed-method study explored how nature improved the recovery of remote and rural communities affected by the Black Summer bushfires in East Gippsland. The research studied the individuals’ feelings about being involved in nature-based community events and their lived experiences. Data were collected from June to September 2023 through a nature-based community recovery project survey and community interviews.

The findings demonstrated that engagement with natural environments promotes positive psychological, mental, and general well-being of people from bushfire-affected communities. Positive feedback from participants indicated the success of the Nature-Based Community Recovery Project in East Gippsland after the Black Summer bushfire.

This research provides insights for future recovery projects and ensures that sustainable nature-based recovery solutions for bushfire-impacted communities can be established.

England's primary care service for psychological therapy (Improving Access to Psychological Therapies [IAPT]) treats anxiety and depression, with a target recovery rate of 50%. Identifying the characteristics of patients who achieve recovery may assist in optimizing future treatment. This naturalistic cohort study investigated pre-therapy characteristics as predictors of recovery and improvement after IAPT therapy.

In a cohort of patients attending an IAPT service in South London, we recruited 263 participants and conducted a baseline interview to gather extensive pre-therapy characteristics. Bayesian prediction models and variable selection were used to identify baseline variables prognostic of good clinical outcomes. Recovery (primary outcome) was defined using (IAPT) service-defined score thresholds for both depression (Patient Health Questionnaire [PHQ-9]) and anxiety (Generalized Anxiety Disorder [GAD-7]). Depression and anxiety outcomes were also evaluated as standalone (PHQ-9/GAD-7) scores after therapy. Prediction model performance metrics were estimated using cross-validation.

Predictor variables explained 26% (recovery), 37% (depression), and 31% (anxiety) of the variance in outcomes, respectively. Variables prognostic of recovery were lower pre-treatment depression severity and not meeting criteria for obsessive compulsive disorder. Post-therapy depression and anxiety severity scores were predicted by lower symptom severity and higher ratings of health-related quality of life (EuroQol questionnaire [EQ5D]) at baseline.

Almost a third of the variance in clinical outcomes was explained by pre-treatment symptom severity scores. These constructs benefit from being rapidly accessible in healthcare services. If replicated in external samples, the early identification of patients who are less likely to recover may facilitate earlier triage to alternative interventions.