Shaping tomorrow's support: baseline clinical characteristics predict later social functioning and quality of life in schizophrenia spectrum disorder.

PURPOSE: We aimed to explore the multidimensional nature of social inclusion (mSI) among patients diagnosed with schizophrenia spectrum disorder (SSD), and to identify the predictors of 3-year mSI and the mSI prediction using traditional and data-driven approaches. METHODS: We used the baseline and 3-year follow-up data of 1119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) cohort in the Netherlands. The outcome mSI was defined as clusters derived from combined analyses of thirteen subscales from the Social Functioning Scale and the brief version of World Health Organization Quality of Life questionnaires through K-means clustering. Prediction models were built through multinomial logistic regression (ModelMLR) and random forest (ModelRF), internally validated via bootstrapping and compared by accuracy and the discriminability of mSI subgroups. RESULTS: We identified five mSI subgroups: "very low (social functioning)/very low (quality of life)" (8.58%), "low/low" (12.87%), "high/low" (49.24%), "medium/high" (18.05%), and "high/high" (11.26%). The mSI was robustly predicted by a genetic predisposition for SSD, premorbid adjustment, positive, negative, and depressive symptoms, number of met needs, and baseline satisfaction with the environment and social life. The ModelRF (61.61% [54.90%, 68.01%]; P =0.013) was cautiously considered outperform the ModelMLR (59.16% [55.75%, 62.58%]; P =0.994). CONCLUSION: We introduced and distinguished meaningful subgroups of mSI, which were modestly predictable from baseline clinical characteristics. A possibility for early prediction of mSI at the clinical stage may unlock the potential for faster and more impactful social support that is specifically tailored to the unique characteristics of the mSI subgroup to which a given patient belongs.

Moving from supported to independent living: what are the barriers and facilitators for individuals with psychosis?

PURPOSE: Living independently, as opposed to in sheltered housing or with caregivers, is an important aim in the recovery of individuals with psychosis, but the transition to independence can be challenging. This study aims to investigate how individuals with psychosis move between living arrangements and to identify the barriers and facilitators of moving towards independence. METHODS: The living arrangements of 1119 individuals with non-affective psychosis from the Genetic Risk and Outcome of Psychosis study were assessed at baseline, at three- and six-year follow-ups and further categorized as either supported (sheltered housing or with parents) or independent (single or with partner/family). We estimated the probabilities of transitioning between the living statuses and investigated the influence of demographic characteristics, symptomatology, cognition, social support, and premorbid social adjustment on transition using Markov chain modelling. RESULTS: The majority of individuals living in supported housing remained there during the six-year follow-up period (~ 60%). The likelihood of moving from supported to independent living was twice as high for participants who were younger, five-to-six times higher for women, twice as high for individuals with better overall cognition, and five times higher for those with a course of low positive symptoms. CONCLUSION: This study highlights that a large group of individuals with psychosis in supported housing is unlikely to move to independent living. Older men with cognitive impairments and who show continuous severe positive symptoms are the least likely to move living independently. Tailored interventions for these at-risk individuals could increase their chances of moving to independent living.

Recovery-oriented care in Teams Working with the ART Model in long-term Mental Health care: A Qualitative Study on the Experiences of Service Users and Their Significant Others.

The Active Recovery Triad (ART) model provides a framework for recovery-oriented care in long-term mental health settings. The aim of this study is to gain insight into the experiences and views of service users and their significant others regarding care and support they receive from teams working with the ART model. Semi-structured interviews were performed with nineteen service users and five significant others of teams operating in Dutch long-term mental health care. Data were analyzed using thematic analysis. The three core principles of the ART model formed the deductive basis of the analysis and for every principle themes were identified inductively. Under the principle 'Active', service users mentioned that they feel motivated, work actively on personal recovery goals and have dreams for the future. Service users valued the service as a safe environment, but several service users also preferred to live more independently. Under the principle 'Recovery', participants reported how the dimensions of recovery (health, personal identity, daily life and community functioning) were addressed in care and support. Also, specific conditions for recovery-oriented care were identified, for example regarding specific expertise of care providers. Under the principle 'Triad' the support from significant others, contact with care workers and with other service users were identified as important. The insights regarding what is important for service users and their significant others may contribute to the improvement of care and support in long-term mental health care. In addition, the findings of this study provide directions for the further development of the ART model.

Recovery-oriented care in long-term mental health settings: Relationship between the active recovery triad (ART) model, recovery-oriented care, and recovery of service users.

OBJECTIVE: The active recovery triad (ART) model provides guidelines for recovery-oriented care in long-term mental health care. The aim of this study is to evaluate whether compliance to the principles of the ART model is related to recovery-oriented care, service user recovery and satisfaction. METHOD: A prospective study was conducted including two measurements, in which we investigated compliance to the principles of the ART model (ART fidelity), recovery-oriented care as measured by the Recovery-Oriented Practices Index-Revised (ROPI-R) at team level (n = 18) and outcome measures on service user level (n = 101) related to personal recovery, social roles, level of functioning, clinical recovery, transition, and satisfaction. We used multilevel modeling to evaluate these relationships. RESULTS: There was a significant association between active recovery triad (ART) fidelity and the ROPI-R. We did not find a significant association between overall ART fidelity and service user outcomes. Yet, we did find that higher ART fidelity in the domains "cooperation in the triad," "professionalization of staff," and "team structure" were related to improved clinical recovery, functioning, social roles, and performance of activities. However, higher ART fidelity in the domain "healing environment" was related to poorer functioning, and a higher score in the domain "safety and prevention of coercion" was related to poorer social roles and performance of activities. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: We can conclude that compliance to the principles of the ART model is related to recovery-oriented care, measured with the ROPI-R. In addition, the findings suggest that in particular elements in the ART model are related to meaningful recovery outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

From Model to Practice: A Qualitative Study on Factors Influencing the Implementation of the Active Recovery Triad (ART) Model in Long-Term Mental Health Care.

Background: The Active Recovery Triad (ART) model provides a framework for recovery-oriented care in the long-term mental health setting. The aim of this study is to gain insight into factors influencing the implementation process of the ART model. Methods: Focus groups were conducted with fourteen multidisciplinary teams that were in the process of implementing the ART model. Data were thematically analyzed. Results: Three phases of implementation were identified. In the first phase, getting started, support from both the top of the organization and the care workers, sufficient information to care workers, service users, and significant others, and creating momentum were considered crucial factors. In the second phase, during implementation, a stable team with a good team spirit, leadership and ambassadors, prioritizing goals, sufficient tools and training, and overcoming structural limitations in large organizations were seen as important factors. In the third phase, striving for sustainability, dealing with setbacks, maintaining attention to the ART model, and exchange with other teams and organizations were mentioned as core factors. Conclusions: The findings may support teams in making the shift from traditional care approaches towards recovery-oriented care in long-term mental health care.