Differential associations between insight and quality-of-life dimensions among individuals with schizophrenia.

PURPOSE/OBJECTIVE: In schizophrenia, insight, the recognition that one has a medical illness that requires treatment, has long been related to deteriorated quality of life. Yet, insight and quality of life are broad constructs that encompass several dimensions. Here, we investigated differential associations between insight and quality-of-life dimensions using a psychological network approach. RESEARCH METHOD/DESIGN: We extracted data from the French network of rehabilitation centers REHABase (January 2016 to December 2022, N = 1,056). Our psychological network analysis modeled insight and quality of life as a network of interacting dimensions: three insight dimensions (awareness of illness, reattribution of symptoms to the disease, and recognition of treatment need) and eight quality-of-life dimensions (autonomy, physical and psychosocial well-being, relationships with family, friends and romantic partners, resilience, and self-esteem). RESULTS: Insight was negatively associated with quality of life. Our psychological network analysis revealed a strong negative association between awareness of disease and self-esteem. Both dimensions were the strongest nodes in the overall network. Our network analysis also revealed a significant but positive connection between recognition of treatment needs and resilience. CONCLUSION/IMPLICATIONS: While insight and quality of life are overall negatively associated, we found both negative and positive connections between insight and quality-of-life dimensions. The negative relationship between insight and quality of life may reflect the deleterious effects of diagnostic labeling on a patient's self-esteem. Yet, acknowledgment of treatment needs may have positive effects on quality of life and may promote recovery, perhaps because it emphasizes the need for support rather than labels and abnormalities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Contribution of socio-demographic and clinical characteristics to predict initial referrals to psychosocial interventions in patients with serious mental illness.

AIMS: Psychosocial rehabilitation (PSR) is at the core of psychiatric recovery. There is a paucity of evidence regarding how the needs and characteristics of patients guide clinical decisions to refer to PSR interventions. Here, we used explainable machine learning methods to determine how socio-demographic and clinical characteristics contribute to initial referrals to PSR interventions in patients with serious mental illness. METHODS: Data were extracted from the French network of rehabilitation centres, REHABase, collected between years 2016 and 2022 and analysed between February and September 2022. Participants presented with serious mental illnesses, including schizophrenia spectrum disorders, bipolar disorders, autism spectrum disorders, depressive disorders, anxiety disorders and personality disorders. Information from 37 socio-demographic and clinical variables was extracted at baseline and used as potential predictors. Several machine learning models were tested to predict initial referrals to four PSR interventions: cognitive behavioural therapy (CBT), cognitive remediation (CR), psychoeducation (PE) and vocational training (VT). Explanatory power of predictors was determined using the artificial intelligence-based SHAP (SHapley Additive exPlanations) method from the best performing algorithm. RESULTS: Data from a total of 1146 patients were included (mean age, 33.2 years [range, 16-72 years]; 366 [39.2%] women). A random forest algorithm demonstrated the best predictive performance, with a moderate or average predictive accuracy [micro-averaged area under the receiver operating curve from 'external' cross-validation: 0.672]. SHAP dependence plots demonstrated insightful associations between socio-demographic and clinical predictors and referrals to PSR programmes. For instance, patients with psychotic disorders were more likely to be referred to PE and CR, while those with non-psychotic disorders were more likely to be referred to CBT and VT. Likewise, patients with social dysfunctions and lack of educational attainment were more likely to be referred to CR and VT, while those with better functioning and education were more likely to be referred to CBT and PE. CONCLUSIONS: A combination of socio-demographic and clinical features was not sufficient to accurately predict initial referrals to four PSR programmes among a French network of rehabilitation centres. Referrals to PSR interventions may also involve service- and clinician-level factors. Considering socio-demographic and clinical predictors revealed disparities in referrals with respect to diagnoses, current clinical and psychological issues, functioning and education.

Functioning, clinical severity, education and sex moderate the inverse relationship between insight and quality of life in patients with schizophrenia.

BACKGROUND: In schizophrenia, insight, the recognition that one has a medical illness that requires treatment, has long been related to deteriorated quality of life, a phenomenon that has been described as the "insight paradox". Here, we aimed to determine whether certain socio-demographic and clinical characteristics strengthen or weaken this negative relationship. METHODS: We used data from the French network of rehabilitation centers REHABase (N = 769). We explored mean differences in quality-of-life scores between patients with good insight vs. poor insight. We also explored modifying effects of socio-demographic and clinical characteristics (sex, education, age, functioning, clinical severity, duration of illness). RESULTS: Patients with good insight had a decreased quality-of-life total score. Similar effects were found for the following sub-dimensions of quality of life: autonomy, physical and psychological well-being, and self-esteem. The negative effect of insight on quality of life was attenuated for people who had >12 years of education and for people with a higher level of functioning. By contrast, the negative effect of insight on quality of life was accentuated in people with greater clinical severity. Functioning and clinical severity showed similar modifying effects for other quality-of-life dimensions: autonomy, physical and psychological well-being, and self-esteem. Finally, males demonstrated an increased negative association between insight and self-esteem. CONCLUSIONS: The relationship between insight and quality of life is moderated by socio-demographic and clinical circumstances. Future inquiries may utilize our findings by integrating socio-demographic and clinical factors in treatment programs designs to conjointly improve insight and quality of life.

Actionable Predictive Factors of Homelessness in a Psychiatric Population: Results from the REHABase Cohort Using a Machine Learning Approach.

BACKGROUND: There is a lack of knowledge regarding the actionable key predictive factors of homelessness in psychiatric populations. Therefore, we used a machine learning model to explore the REHABase database (for rehabilitation database-n = 3416), which is a cohort of users referred to French psychosocial rehabilitation centers in France. METHODS: First, we analyzed whether the different risk factors previously associated with homelessness in mental health were also significant risk factors in the REHABase. In the second step, we used unbiased classification and regression trees to determine the key predictors of homelessness. Post hoc analyses were performed to examine the importance of the predictors and to explore the impact of cognitive factors among the participants. RESULTS:  First, risk factors that were previously found to be associated with homelessness were also significant risk factors in the REHABase. Among all the variables studied with a machine learning approach, the most robust variable in terms of predictive value was the nature of the psychotropic medication (sex/sex relative mean predictor importance: 22.8, σ = 3.4). Post hoc analyses revealed that first-generation antipsychotics (15.61%; p < 0.05 FDR corrected), loxapine (16.57%; p < 0.05 FWER corrected) and hypnotics (17.56%; p < 0.05 FWER corrected) were significantly associated with homelessness. Antidepressant medication was associated with a protective effect against housing deprivation (9.21%; p < 0.05 FWER corrected). CONCLUSIONS: Psychotropic medication was found to be an important predictor of homelessness in our REHABase cohort, particularly loxapine and hypnotics. On the other hand, the putative protective effect of antidepressants confirms the need for systematic screening of depression and anxiety in the homeless population.

The central role of self-esteem in the quality of life of patients with mental disorders.

In psychiatry, recent years have seen a change of focus from a clinician- to a patient-centered perspective that emphasizes quality of life as a treatment target. As a complex construct, quality of life is composed of multiple dimensions that interact with one-another (e.g. physical and psychological well-being, relationships, autonomy, self-esteem). Here, we used data from the REHABase cohort, which includes N = 2180 patients from 15 psychosocial rehabilitation centers in France, to explore networks of quality-of-life dimensions among six psychiatric disorders: schizophrenia, neurodevelopmental, bipolar, depressive, anxiety, and personality disorders. Stronger connections (edges) involved the Self-Esteem dimension, such as Self-Esteem-Physical Well-Being, Self-Esteem-Autonomy, Self-Esteem-Psychological Well-Being, and Self-Esteem-Resilience. Self-esteem was also consistently retrieved as the most central node (the dimension with the most connections within each network). Between-group tests did not reveal any differences regarding network structure, overall connectivity, edge-weights, and nodes' centrality. Despite presenting with different symptom profiles, various psychiatric disorders may demonstrate similar inter-relationships among quality-of-life dimensions. In particular, self-esteem may have a crucial inter-connecting role in patients' quality of life. Our findings could support treatment programmes that specifically target self-esteem to improve patients' quality of life in a cost-effective way.

Frontal lobe functions in schizophrenia: Interest of the Stuss approach.

OBJECTIVE: The term Executive Functions (EFs) refers to the higher-level skills we use every day to control and coordinate our cognitive abilities and behaviours. EFs are mainly supported by the frontal lobes and its connections. EFs are frequently impaired in schizophrenia, but the profiles of executive deficits accompanying schizophrenia remains unclear. The use of specific EFs models might help to shed new light on this issue. Stuss (Stuss & Alexander, 2007; Stuss, 2008, 2011, 2017) proposed an integrative and operant model of EFs which has never been used to explore and characterize deficits in schizophrenia. The aim of this study is to further examine EFs in schizophrenia in the light of the frontal lobe functional approach developed by Stuss (2008, 2011, 2017) in order to question EFs impairment homogeneity and heterogeneity in schizophrenia. METHODS: Forty-five patients with schizophrenia and fifty-five healthy controls were recruited. They all completed a series of neuropsychological tests selected and adapted to measure the five majors' functions of the frontal lobe described by Stuss (2017). RESULTS: Patients showed deficits in almost all the frontal functions. Inside each frontal lobe function, correlations were observed between all the corresponding measures. The study of profiles highlighted a heterogeneous functioning in schizophrenia. CONCLUSIONS: The model of Stuss (Stuss & Alexander, 2007; Stuss, 2008, 2011, 2017) allows accurate and specific measures of the frontal functions and observation. Beyond "cold" or "hot" EFs division, this integrative approach is helpful to understand links within neurocognition.

The use of the French Dimensional Apathy Scale (f-DAS) to assess apathy in schizophrenia: Properties and profiles.

BACKGROUND: Apathy can be defined as a quantitative reduction of self-generated voluntary and purposeful (or goal-directed) behaviour. The literature underlines the triadic dimensional nature of apathy, but in schizophrenia there are inconsistencies due to difficulty in assessment. The Dimensional Apathy Scale (DAS) and its validation into French (f-DAS) provide measurement of three neurobehavioral apathy subtypes: Executive, Emotional and Initiation, but these subtypes have never been explored in schizophrenia. OBJECTIVE: The aims of this study are to assess apathy in schizophrenia with a tri-dimensional tool (the f-DAS), to examine its psychometric properties in schizophrenia and the apathetic profiles of patients with schizophrenia. METHODS: One hundred and ten subjects were recruited. Forty-five belonged to the patients' group and fifty-five to the control group. They all completed the Mini-International Neuropsychiatric Interview (M.I.N.I), the French National Reading Test (f-NART), the French Dimensional Apathy Scale (f-DAS), the Lille Apathy Rating Scale (LARS) and the Beck Depression Inventory (BDI II). RESULTS: Regarding the total score of the f-DAS and the subscores for each dimension, patients appeared significantly more apathetic than healthy controls. Consistency, validity, concurrent and divergent validity were good. In the patient group, several profiles of apathy were identified. CONCLUSIONS: The f-DAS has good psychometric properties and provides reliable and valid dimensional assessment of apathy in schizophrenia. From a dimensional point of view, using the f-DAS we demonstrated that prevalence of apathy could be underestimated in schizophrenia. Patients with schizophrenia are more impaired on the Executive and Initiative dimensions of apathy.

Sex Differences in Recovery-Related Outcomes and Needs for Psychiatric Rehabilitation in People With Schizophrenia Spectrum Disorder.

BACKGROUND: Female sex/gender has been associated with better longitudinal outcomes in schizophrenia spectrum disorders (SSDs). Few studies have investigated the relationships between female gender and recovery-related outcomes. Women's specific psychiatric rehabilitation needs remain largely unknown. OBJECTIVE: The objectives of the present study are to investigate sex differences in (1) objective and subjective aspects of recovery and (2) psychiatric rehabilitation needs in a multicenter non-selected psychiatric rehabilitation SSD sample. METHODS: 1,055 outpatients with SSD (DSM-5) were recruited from the French National Centers of Reference for Psychiatric Rehabilitation (REHABase) cohort between January 2016 and November 2019. Evaluation included standardized scales for quality of life, satisfaction with life, and well-being and a broad cognitive battery. Socially valued roles at enrollment were recorded. Functional recovery was measured using the Global Assessment of Functioning scale (GAF) and personal recovery with the Stages of Recovery Instrument (STORI). RESULTS: Female sex was the best predictor of having more than 2 socially valued roles in the multivariate analysis (P < .001; OR [95% CI] = 5.42 [2.34-13.06]). No sex differences were found for functional recovery or personal recovery. Female gender was positively associated with self-stigma (P = .036) and suicidal history (P < .001) and negatively correlated with quality of life (P = .004) and satisfaction with interpersonal relationships (P = .029), an area in which women reported more unmet needs (P = .004). CONCLUSIONS: The present study found that women had poorer subjective recovery-related outcomes and more unmet needs than men. It would therefore be beneficial to develop recovery-oriented interventions addressing women's specific needs and implement these in psychiatric rehabilitation services.

Characteristics associated with self-reported medication adherence in persons with psychosis referred to psychosocial rehabilitation centers.

The aim of the present study was to explore the characteristics of psychotropic treatment and of psychosocial functioning associated with self-reported medication adherence in persons with psychosis engaged in rehabilitation. The study was performed in the REHABase cohort including persons referred to a French network of psychosocial rehabilitation centers. Treatment adherence was assessed using the Medication Adherence Rating Scale (MARS). The associations between MARS score (categorized as "low" < 7 vs. "high" ≥ 7) and functioning or psychotropic treatment characteristics were explored using multivariate analyses in 326 participants with schizophrenia spectrum disorders. Regarding psychotropic treatment, high anticholinergic load was the only characteristic associated with poor medication adherence (adjusted OR, aOR 1.98, 95% CI 1.07-3.66). Regarding functioning measures, participants with poor medication adherence were more likely to present with lower stage of recovery (aOR 2.38, 95% CI 1.31-4.32), poor quality of life (aOR 2.17, 95% CI 1.27-3.71), mental well-being (aOR 1.68, 95% CI 1.03-2.72) and self-esteem (aOR 1.74, 95% CI 1.05-2.87), and higher internalized stigma (aOR 1.88, 95% CI 1.09-3.23). Self-reported poor medication adherence is a marker of poor functioning in persons with psychosis. The MARS is a quick and simple measure of adherence that may be helpful in clinical and rehabilitation settings to identify persons with specific rehabilitation needs.

Functioning and cognitive characteristics of clozapine users referred to psychosocial rehabilitation centers: A REHABase cohort study.

OBJECTIVES: To explore whether clozapine users have specific rehabilitation needs compared to users of other antipsychotics. METHODS: The study was performed using the REHABase collecting data on persons referred to a French network of psychosocial rehabilitation centers. It was restricted to persons with schizophrenia spectrum disorder using antipsychotics. Multivariate analyses were used to compare baseline functioning and cognitive characteristics in clozapine users vs. users of other antipsychotics. RESULTS: Of the 675 patients identified in the REHABase, one out of ten (n = 70) used clozapine. Compared to users of other antipsychotics, clozapine users had been more frequently hospitalized in psychiatry and presented less frequently with psychoactive substance use. Functional measures did not significantly differ between the two groups. Clozapine users had poorer short-term verbal memory performance than users of other antipsychotics and did not differ on executive performance. CONCLUSION: Clozapine users may reach a recovery level comparable to that obtained in persons without treatment-resistant schizophrenia. In order to reduce the negative impact of memory deficits on the recovery process of clozapine users, it is necessary to optimize their psychotropic treatment and to promote their access to cognitive remediation programs addressing their specific needs.

Satisfaction and Needs in Serious Mental Illness and Autism Spectrum Disorder: The REHABase Psychosocial Rehabilitation Project.

OBJECTIVE: The REHABase project is a French observational, prospective, and multicenter cohort study of serious mental illness and autism spectrum disorder (ASD), launched in 2016 for a planned minimum duration of 15 years. The aim is to characterize the care and quality-of-life needs of participants. This article presents initial results from data collection. METHODS: Psychosocial, cognitive, and functional data were collected at baseline, annually, and after rehabilitation care. Data from the baseline evaluation on diagnoses, medications, well-being, insight, life satisfaction, and care needs are presented. The clinical profiles of REHABase participants with serious mental illness or ASD were assessed in relation to their level of satisfaction with life and well-being in nine life dimensions and their needs, according to their stage of recovery in a five-stage model. RESULTS: Baseline data were collected for 1,397 participants between January 2016 and August 2018. Main diagnoses were schizophrenia spectrum disorder (49%); ASD (13%); and personality (12%), bipolar (9%), and major depressive (6%) disorders. More than 50% of participants reported needs for care or interventions in four of nine dimensions: employment, cognitive functioning, symptom management, and interpersonal relationships. Nearly half of participants were not in the active stages of recovery (stages 4 and 5), and even those considered to have reached the final stage continued to require help in several areas. CONCLUSIONS: Most participants had already received psychiatric care for several years, and most remained dissatisfied with their social and emotional life and their psychological well-being.