[IPA's clinical expertise in the identification and assessment of somatic pain in schizophrenic patients]. / Expertise clinique de l'IPA PSM dans le repérage et l'évaluation de la douleur somatique chez les personnes schizophrènes.

Identifying and assessing somatic pain in people with schizophrenia remains a major public health issue for this vulnerable population. In France, Advanced Practice Nursing is developing, based on a practice built around clinical expertise. How can the clinical expertise of psychiatric and mental health APNs improve the identification and assessment of somatic pain in these patients, and thus help to improve their somatic health?

Seasonal patterns in Chinese population: Validating the seasonal pattern assessment questionnaire and exploring associations with psychiatric diagnoses and biological rhythms.

Seasonal patterns (SP) exert a notable influence on the course and prognosis of patients with affective disorders, serving as a specifier in diagnosis. However, there is limited exploration of seasonality among psychotic patients, and the distinctions in seasonality among psychiatric patients remain unclear. In this study, we enrolled 198 psychiatric patients with anxiety and depressive disorders (A&D), bipolar disorder (BD), and schizophrenia (SZ), as well as healthy college students. Online questionnaires, including the Seasonal Pattern Assessment Questionnaire (SPAQ) for seasonality, the Morningness and Eveningness Questionnaire-5 (MEQ-5) for chronotypes, and the Pittsburgh Sleep Quality Index (PSQI), were administered. The validity and reliability of the Chinese version of the SPAQ were thoroughly analyzed, revealing a Cronbach's alpha of 0.896 with a two-factor structure. Results indicated that higher seasonality was correlated with poorer sleep quality and a more delayed chronotype (p < 0.05). Significant monthly variations were particularly evident in BD, specifically in mood, appetite, weight, social activities, and sleep dimensions (p < 0.001). In summary, the Chinese version of SPAQ is validated, demonstrating moderate correlations between seasonality, chronotype, and sleep quality. BD patients exhibited the strongest seasonality, while mood disorder patients displayed more delayed chronotypes than SZ.

Assessment of sarcopenic obesity as a predictor of pneumonia in patients with stable schizophrenia-A prospective study.

OBJECTIVE: The European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) recently released the first international consensus on the diagnostic criteria for Sarcopenic obesity (SO). The present study aimed to explore the ability of SO to predict the risk of pneumonia in patients with stable schizophrenia. METHODS: This was a prospective study involving hospitalized patients with schizophrenia aged ≥50 years from two mental health centers in western China. Baseline patient data were collected from September 1 to September 30, 2020. Follow-up data on pneumonia were collected from October 2020 to October 2022. The diagnosis of SO was based on the ESPEN/EASO criteria. Patients were assessed for handgrip strength (HGS), skeletal muscle mass/weight (SMM/W), and fat mass percentage (FM%). Logistic regression analysis was used to explore the effect of SO on the risk of pneumonia in patients with stable schizophrenia. RESULTS: A total of 320 patients with stable schizophrenia were included. Of these, 74 (23.13%) were diagnosed with SO, while 117 (36.56%) developed pneumonia. Compared with patients in the non-low HGS, non-low HGS + non-low SMM/W (or non-low HGS + low SMM/W or low HGS + non-low SMM/W) and non-SO groups, the proportions of patients with pneumonia in the low HGS (42.3% vs. 25.9%, p = 0.004), low HGS + low SMM/W (45.3% vs. 33.3%, p = 0.048), and SO (47.3% vs. 33.3%, p = 0.029) groups, respectively, were higher. However, there was no difference in the proportion of patients with pneumonia in the low SMM/W group and the obese group compared with the non-low SMM/W and non-obese groups. Further logistic regression analysis after adjustment for potential influencing factors showed that compared with the non-low HGS group, patients in the low HGS group had a higher risk of pneumonia (OR = 1.892, 95%CI: 1.096-3.264). CONCLUSION: SO defined according to the ESPEN/EASO criteria was not found to be significantly associated with the development of pneumonia in patients with stable schizophrenia. Further verification of these results is needed with larger sample sizes and the establishment of a cutoff value for this population.

Validation of the 12-item World Health Organization Disability Assessment Schedule 2.0 in individuals with schizophrenia, depression, anxiety, and diabetes in Singapore.

BACKGROUND: There is limited evidence on the reliability and validity of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) in an Asian patient population with mental and physical disorders. The current study aimed to examine the psychometric properties of the WHODAS 2.0 among patients with schizophrenia, depression, anxiety, and diabetes. METHODS: A total of 1076 patients (M = 40.9 years, SD = 14.7) were recruited from the outpatient clinics of a tertiary psychiatric hospital and a primary care clinic. Internal consistency and test-retest reliability, structural validity, convergent validity, agreement, and floor and ceiling effects were examined. RESULTS: Our confirmatory factor analysis (CFA) showed that the 1-factor model fits our data. Multigroup CFA demonstrated metric and scalar invariance, indicating the scores can be compared across the four conditions. The WHODAS 2.0 scale had excellent reliability in the overall sample and good to excellent reliability across conditions. The test-retest reliability and agreement between self-administered and interviewer-administered modes were good. The WHODAS 2.0 scores had moderate to strong correlations with the Social and Occupational Functioning Scale and the Sheehan Disability Scale scores in the overall sample and across four conditions. CONCLUSION: Findings suggest that the WHODAS 2.0 is a valid tool to measure functioning and disability in those with schizophrenia, anxiety, depression, and diabetes in an Asian patient population.

Assessment of interrelationships between cognitive performance, symptomatic manifestation and social functioning in the acute and clinical stability phase of schizophrenia: insights from a network analysis.

BACKGROUND: It has been shown that various aspects of clinical manifestation of schizophrenia are strongly related to social functioning. However, it remains unknown as to whether similar factors predict social functioning at various stages of psychosis. Therefore, the present study aimed to compare the effects of interconnections between various domains of psychopathology and neurocognition on social functioning in people during acute phase of psychosis and those during remission of positive and disorganization symptoms using a network analysis. METHODS: Two independent samples of individuals with schizophrenia spectrum disorders were enrolled (89 inpatients during acute phase and 90 outpatients during remission of positive and disorganization symptoms). Clinical assessment covered the levels of functioning, positive, negative and depressive symptoms. Cognition was recorded using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Data were analyzed by means of the network analysis. Two separate networks of clinical symptoms, social functioning, and cognition (i.e., in patients during acute phase of psychosis and remitted outpatients with schizophrenia) were analyzed and compared with respect to the measures of centrality (betweenness, closeness, strength, and expected influence) and edge weights. RESULTS: In both networks, the majority of centrality metrics (expected influence, strength, and closeness) had the highest values for the RBANS scores of attention (the sum of scores from two tasks, i.e., digit span and coding) and immediate memory. In both networks, social functioning was directly connected to positive, negative and depressive symptoms as well as the RBANS scores of attention and language. Additionally, in remitted patients, social functioning was directly connected to the RBANS score of immediate memory. CONCLUSIONS: Findings from the present study indicate the central role of cognitive deficits, especially those related to attention, processing speed, working and immediate memory in shaping functional impairments regardless of schizophrenia phase. Therapeutic interventions that aim to improve functional capacity need to target these domains of neurocognitive performance.

The role of defeatist performance beliefs on cognitive effort-cost decision-making in schizophrenia.

Impairments in effort-cost decision-making have been consistently observed in people with schizophrenia (SZ) and may be an important mechanism of negative symptoms. However, the processes that give rise to impairments in effort-cost decision-making are unclear, leading to limited progress in identifying the most relevant treatment targets. Drawing from cognitive models of negative symptoms and goal-directed behavior, this study aimed to examine how and under what type of task conditions defeatist performance beliefs contribute to these decision-making processes. Outpatients with SZ (n = 30) and healthy controls (CN; n = 28) completed a cognitive effort allocation task, the Cognitive Effort-Discounting (COGED) task, which assesses participants' willingness to exert cognitive effort for monetary rewards based on parametrically varied working memory demands (completing N-back levels). Results showed that although participants with SZ demonstrated reduced willingness to work for rewards across N-back levels compared to CN participants, they showed less choice modulation across different N-back conditions. However, among SZ participants with greater defeatist performance beliefs, there was a reduced willingness to choose the high effort option at higher N-back levels (N-back levels 3, 4, and 5 versus 2-back). Results suggest that compared to CN, the SZ group's subjective willingness to expend effort largely did not dynamically adjust as cognitive load increased. However, defeatist beliefs may undermine willingness to expend cognitive effort, especially when cognitive task demands are high. These beliefs may be a viable treatment target to improve effort-cost decision-making impairments in people with SZ.

Introducing an interview-based cognitive assessment tool for people with Schizophrenia in Ethiopia.

Assessment of cognitive impairment in people with schizophrenia (PWS) is limited in low and middle-income countries due to lack of context-appropriate measures. This study aimed to select, adapt, and evaluate an interview-based cognitive tool for PWS in Ethiopia. The study was carried out in three phases. In the first phase, we followed a rigorous instrument selection procedure to select a tool for adaptation. We then applied a rigorous instrument adaption procedure, including interviews with 24 participants. Finally, we evaluated the psychometric properties of the adapted tool with 208 PWS and 208 matched controls. The Cognitive Assessment Interview was selected as the appropriate tool for adaptation. This tool is practical and tolerable, with short time of administration. We reported high inter-rater reliability and test-retest reliability for the adapted scale. One-factor structure better represented the data with excellent internal consistency. Weak but significant correlation with a performance-based battery was reported. At a cut-off value of > 13, the tool significantly differentiated PWS from controls (62 % sensitivity and 82 % specificity). Item Response Theory-based analysis showed that the tool gives much information among severely impaired participants. The findings show that the tool is reliable, valid, and practical in resource-scarce settings.

Multimodal Assessment of Schizophrenia Symptom Severity From Linguistic, Acoustic and Visual Cues.

Assessing the condition of every schizophrenia patient correctly normally requires lengthy and frequent interviews with professionally trained doctors. To alleviate the time and manual burden on those mental health professionals, this paper proposes a multimodal assessment model that predicts the severity level of each symptom defined in Scale for the Assessment of Thought, Language, and Communication (TLC) and Positive and Negative Syndrome Scale (PANSS) based on the patient's linguistic, acoustic, and visual behavior. The proposed deep-learning model consists of a multimodal fusion framework and four unimodal transformer-based backbone networks. The second-stage pre-training is introduced to make each off-the-shelf pre-trained model learn the pattern of schizophrenia data more effectively. It learns to extract the desired features from the view of its modality. Next, the pre-trained parameters are frozen, and the light-weight trainable unimodal modules are inserted and fine-tuned to keep the number of parameters low while maintaining the superb performance simultaneously. Finally, the four adapted unimodal modules are fused into a final multimodal assessment model through the proposed multimodal fusion framework. For the purpose of validation, we train and evaluate the proposed model on schizophrenia patients recruited from National Taiwan University Hospital, whose performance achieves 0.534/0.685 in MAE/MSE, outperforming the related works in the literature. Through the experimental results and ablation studies, as well as the comparison with other related multimodal assessment works, our approach not only demonstrates the superiority of our performance but also the effectiveness of our approach to extract and integrate information from multiple modalities.

[Spatiotemporal psychopathology-German version of the Scale for Space and Time Experience in Psychosis (STEP) : A validated measurement instrument for the assessment of spatial and temporal experience in psychotic disorders]. / Räumlich-zeitliche Psychopathologie ­ deutsche Version der Scale for Space and Time Experience in Psychosis (STEP) : Ein validiertes Messinstrument zur Erfassung des räumlichen und zeitlichen Erlebens bei psychotischen Störungen.

Historical authors (e.g., Ludwig Binswanger and Eugène Minkowski) postulated that the experience of patients with schizophrenia is characterized by time fragmentation. From a clinical perspective, patients with schizophrenia also suffer from difficulties in spatial perception (e.g., abnormalities in the experience of interpersonal distance and spatial orientation). Although these changes can lead to a serious detachment from reality, to considerable suffering of the affected persons and to difficulties in the therapeutic process, the abnormal experience of space and time in psychotic disorders has not yet been sufficiently investigated. One possible reason is the lack of appropriate and standardized instruments that quantify the experience of space and time in patients with psychotic disorders. Based on an innovative concept, the so-called spatiotemporal psychopathology (STPP), a clinical rating scale for the systematic-quantitative assessment of spatial and temporal experience in patients with psychotic disorders was developed. This article presents the German version of the Scale for Space and Time Experience in Psychosis (STEP). The original English version of the STEP measures different spatial (14 phenomena) and temporal (11 phenomena) phenomena in 25 items. The STEP shows both a high internal consistency (Cronbach's alpha = 0.94) and a significant correlation with the Positive and Negative Syndrome Scale (PANSS; p < 0.001). In summary, the German version of the STEP scale presented here represents an important instrument in the German-speaking countries for the assessment of spatial and temporal experience in patients with psychotic disorders.

Neuropsychological and Functional Assessment of Cognitive Impairments in Schizophrenia.

Cognitive deficits are a central feature of psychotic disorders. Their impact and relevance for clinical prognosis and functional recovery, together with their usefulness in the development of novel therapeutic targets, have emphasized the role of cognition in the diagnosis and therapeutic management of schizophrenia. Here we describe the main aspects to consider before, during, and after the neuropsychological assessment of main cognitive domains affected in schizophrenia, from a research perspective toward clinical practice.

Clinical Management and Assessment of the Early Stages of Psychosis: A Multidimensional Approach.

Early intervention in psychosis has emerged as an integrated clinical and research strategy for the comprehensive care of people presenting with a first psychotic episode (FEP). In this sense, a multidisciplinary approach is essential for early detection and assessment of preliminary stages of the illness. The main objectives of early intervention programs include the implementation of specialized interventions aimed at promoting functional recovery and improving quality of life. In this chapter, we will describe the main advantages of specialized early intervention programs in psychosis. We will also describe the main aspects of assessment that need to be considered when approaching an FEP.

The self-assessment scale of cognitive complaints in Schizophrenia: validation of the Arabic version among a sample of lebanese patients.

BACKGROUND: Several subjective scales have been used to measure cognitive complaints in patients with schizophrenia, such as the Self-Assessment Scale of Cognitive Complaints in Schizophrenia (SASCCS), which was designed to be clear, simple, and easy to use. This study aimed to examine the ability of SASCCS as a validated tool to collect and assess subjective cognitive complaints of patients with schizophrenia. METHODS: A cross-sectional study among 120 patients with schizophrenia was performed between July 2019 and Mars 2020 at the Psychiatric Hospital of the Cross, Lebanon. The SASCCS was used to assess how patients with schizophrenia perceived their cognitive impairment. RESULTS: The internal consistency of the SASCCS scale was 0.911, and the intra-class correlation coefficient was 0.81 (p < 0.001), suggesting a good stability over time. The factor analysis of the SASCCS scale showed a 5-factor solution using the Varimax rotated matrix. The SASCCS total score positively correlated with their own factors. A negative correlation was found between the objective cognitive scale and subjective cognitive complaints, which were positively correlated with clinical symptoms and depression. No significant association was found between insight and subjective cognitive complaints. CONCLUSION: The SASCCS scale showed appropriate psychometric properties, with high internal consistency, good construct validity, and adequate concurrent validity, which makes it valuable for the evaluation of subjective cognitive complaints in patients with schizophrenia.

Evaluating the Use of Online Self-Report Questionnaires as Clinically Valid Mental Health Monitoring Tools in the Clinical Whitespace.

Although digital health solutions are increasingly popular in clinical psychiatry, one application that has not been fully explored is the utilization of survey technology to monitor patients outside of the clinic. Supplementing routine care with digital information collected in the "clinical whitespace" between visits could improve care for patients with severe mental illness. This study evaluated the feasibility and validity of using online self-report questionnaires to supplement in-person clinical evaluations in persons with and without psychiatric diagnoses. We performed a rigorous in-person clinical diagnostic and assessment battery in 54 participants with schizophrenia (N = 23), depressive disorder (N = 14), and healthy controls (N = 17) using standard assessments for depressive and psychotic symptomatology. Participants were then asked to complete brief online assessments of depressive (Quick Inventory of Depressive Symptomatology) and psychotic (Community Assessment of Psychic Experiences) symptoms outside of the clinic for comparison with the ground-truth in-person assessments. We found that online self-report ratings of severity were significantly correlated with the clinical assessments for depression (two assessments used: R = 0.63, p < 0.001; R = 0.73, p < 0.001) and psychosis (R = 0.62, p < 0.001). Our results demonstrate the feasibility and validity of collecting psychiatric symptom ratings through online surveys. Surveillance of this kind may be especially useful in detecting acute mental health crises between patient visits and can generally contribute to more comprehensive psychiatric treatment.

Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency.

Importance: There is a dearth of population-level data on major disruptive life events (defined here as arrests by a legal authority, address changes, bankruptcy, lien, and judgment filings) for patients with bipolar I disorder (BPI) or schizophrenia, which has limited studies on mental health and treatment outcomes. Objective: To conduct a population-level study on disruptive life events by using publicly available data on disruptive life events, aggregated by a consumer credit reporting agency in conjunction with electronic health record (EHR) data. Design, Setting, and Participants: This study used EHR data from 2 large, integrated health care systems, Kaiser Permanente Southern California and Henry Ford Health. Cohorts of patients diagnosed from 2007 to 2019 with BPI or schizophrenia were matched 1:1 by age at analysis, age at diagnosis (if applicable), sex, race and ethnicity, and Medicaid status to (1) an active comparison group with diagnoses of major depressive disorder (MDD) and (2) a general health (GH) cohort without diagnoses of BPI, schizophrenia, or MDD. Patients with diagnoses of BPI or schizophrenia and their respective comparison cohorts were matched to public records data aggregated by a consumer credit reporting agency (98% match rate). Analysis took place between November 2020 and December 2022. Main Outcomes and Measures: The differences in the occurrence of disruptive life events among patients with BPI or schizophrenia and their comparison groups. Results: Of 46 167 patients, 30 008 (65%) had BPI (mean [SD] age, 42.6 [14.2] years) and 16 159 (35%) had schizophrenia (mean [SD], 41.4 [15.1] years). The majoriy of patients were White (30 167 [65%]). In addition, 18 500 patients with BPI (62%) and 6552 patients with schizophrenia (41%) were female. Patients with BPI were more likely to change addresses than patients in either comparison cohort (with the incidence ratio being as high as 1.25 [95% CI, 1.23-1.28]) when compared with GH cohort. Patients with BPI were also more likely to experience any of the financial disruptive life events with odds ratio ranging from 1.15 [95% CI, 1.07-1.24] to 1.50 [95% CI, 1.42-1.58]). The largest differences in disruptive life events were seen in arrests of patients with either BPI or schizophrenia compared with GH peers (3.27 [95% CI, 2.84-3.78] and 3.04 [95% CI, 2.57-3.59], respectively). Patients with schizophrenia had fewer address changes and were less likely to experience a financial event than their matched comparison cohorts. Conclusions and Relevance: This study demonstrated that data aggregated by a consumer credit reporting agency can support population-level studies on disruptive life events among patients with BPI or schizophrenia.

Examining the Impact of State-Level Factors on HIV Testing for Medicaid Enrollees With Schizophrenia.

BACKGROUND: People with schizophrenia experience unique barriers to routine HIV testing, despite increased risk of HIV compared with the general US population. Little is known about how health care delivery system factors affect testing rates or whether there are testing differences for people with schizophrenia. SETTING: Nationally representative sample of Medicaid enrollees with and without schizophrenia. METHODS: Using retrospective longitudinal data, we examined whether state-level factors were associated with differences in HIV testing among Medicaid enrollees with schizophrenia compared with frequency-matched controls during 2002-2012. Multivariable logistic regression estimated testing rate differences between and within cohorts. RESULTS: Higher HIV testing rates for enrollees with schizophrenia were associated with higher state-level Medicaid spending per enrollee, efforts to reduce Medicaid fragmentation, and higher federal prevention funding. State-level AIDS epidemiology predicted more frequent HIV testing for enrollees with schizophrenia versus controls. Living in rural settings predicted lower HIV testing, especially for people with schizophrenia. CONCLUSION: Overall, state-level predictors of HIV testing rates varied among Medicaid enrollees, although rates were generally higher for those with schizophrenia than controls. Increased HIV testing for people with schizophrenia was associated with coverage of HIV testing when medically necessary, higher Centers for Disease Control and Prevention prevention funding, and higher AIDS incidence, prevalence, and mortality when compared with controls. This analysis suggests that state policymaking has an important role to play in advancing that effort. Overcoming fragmented care systems, sustaining robust prevention funding, and consolidating funding streams in innovative and flexible ways to support more comprehensive systems of care delivery deserve attention.

Employment and Social Security/Insurance among patients affected by mental disorders in Italy: A descriptive multi-center study.

INTRODUCTION: Many mental disorders especially chronic serious ones such as schizophrenia-spectrum disorders, are disabling syndromes and impact on patients' social and cognitive functioning, including work activity. Thus, affected patients may show a particular socio-economic vulnerability and need specific social security as well as rehabilitation interventions, including pensions or job-placements. In Italy, the Working Group named 'Employment and Social Security/Insurance in Mental Health (ESSIMH)' was founded in 2020 in order to collect research evidence on mental illness, employment, social security, and rehabilitation. METHODS: A descriptive, observational and multi-center study has been conducted in eleven Departments of Mental Health in Italy (Foggia, Brindisi, Putignano, Rome, Bologna, Siena, Pavia, Mantova, Genova, Brescia, and Torino) and involved 737 patients affected by major mental illness and classified in five diagnostic categories: psychoses, mood disorders, personality disorders, anxiety disorders, and others. The data collection was performed in 2020 among patients aged 18 to 70 years old. RESULTS: The rate of employment in our sample was 35.8% (n = 264). Occupational disability in our sample was recognized in 58.0% of patients with a mean percentage of severity 51.7 ± 43.1; patients with psychoses (73%) reported higher disability followed by personality (60%) and mood disorders (47.3%) ones. In a logistic multivariate modeling, factors significantly associated with diagnosis were (a) higher level of occupational disability in psychoses; (b) higher number of job- placement programs among psychoses patients; (c) lower level of employment in psychoses; (d) more psychotherapy in personality disorder patients; and (e) more years of MHC program in psychoses patients; factors associated with sex were: (a) higher number of drive licenses among males; (b) more physical activity among males; and (c) higher number of job-placement programs among males. CONCLUSION: patients affected by psychoses were more likely to be unemployed, reported higher occupational disability as well as received more incentives and rehabilitation interventions. These findings confirmed that schizophrenia-spectrum disorders are disabling and patients need psychosocial support and interventions in the framework of a recovery-oriented treatment.

Development and validation of Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) for Internet Gaming Disorder (IGD) and factor analytic assessment.

OBJECTIVE: To develop and validate Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime version (K-SADS-PL) for Internet Gaming Disorder (IGD) in adolescents. METHODS: Questions and threshold criteria of the K-SADS-IGD was generated based on the related section of K-SADS-PL. Then, the sample consist of IGD group and matched control group with no significant difference in psychiatric comorbidities from clinical settings were included to assess the psychometric properties of the K-SADS-IGD. Exploratory and Confirmatory Factor analysis were conducted to evaluate and compare DSM model of IGD and two different Models of IGD proposal in adolescents. RESULTS: Exploratory Factor Analysis of K-SADS-IGD revealed a single factor explaining 61.469% of the total variance. Confirmatory Factor Analysis indicates that although the K-SADS-IGD model fit indices were also acceptable, Model 1, which excluded the 7th criterion of IGD criteria of DSM-5 showed better fit in adolescent population. The Likelihood Ratio Positive and the Likelihood Ratio Negative estimates for the diagnosis of K-SADS-IGD were 31.4 and 0.12, respectively, suggesting that K-SADS-IGD was beneficial for determining the presence and the absence of IGD in adolescents. Also, K-SADS-IGD could detect disordered gamers with significantly low functionality (even after controlling the impact of comorbidities) from non-disordered gamers. CONCLUSION: K-SADS-IGD was found to be a reliable and valid instrument in adolescents. The model excluding 7th criteria of DSM-5 IGD was found to be more consistent than the current DSM-5 IGD model in the adolescent population. Therefore, the diagnostic criteria might be required to adjust according to the age group since the clinical symptomatology of IGD in adolescents may differ from that in adults. The K-SADS-IGD may meet the need for a certain and standardized tool to assess IGD in this population.

Treatment Journey From Diagnosis to the Successful Implementation of a Long-Acting Injectable Antipsychotic Agent in Young Adults With Schizophrenia.

Objective: Long-acting injectable antipsychotic agents (LAIs) are effective in schizophrenia relapse prevention but are often underutilized. This study aims to understand treatment patterns leading to a successful LAI implementation following schizophrenia diagnosis in a large dataset that included commercially insured patients in the United States.Methods: Patients aged 18-40 years with a first schizophrenia diagnosis (per ICD-9 or ICD-10 criteria), successful second-generation LAI implementation (defined a priori as ≥ 90 consecutive days of use), and ≥ 1 second-generation oral antipsychotic agent (OA) were identified from IBM MarketScan Commercial and Medicare Supplemental databases from January 1, 2012, to December 31, 2019. Outcomes were measured descriptively.Results: Of 41,391 patients with newly diagnosed schizophrenia, 1,836 (4%) received ≥ 1 LAI; 202 (< 1%) met eligibility criteria of successful LAI implementation following ≥ 1 second-generation OA. Median (range) time between diagnosis and first LAI was 289.5 (0-2,171) days, time between LAI initiation and successful implementation was 90.0 (90-1,061) days, and time to LAI discontinuation after successful implementation was 166.5 (91-799) days. Before LAI initiation, 58% received ≥ 2 OAs. For 86% with successful LAI implementation, the implementation was accomplished with the first LAI.Conclusions: In this dataset of mainly commercially insured patients, LAI use in early-phase schizophrenia was very low (4%). For the majority for whom a LAI was successfully implemented per a priori definition, the implementation was accomplished with the first LAI and in a short period of time (90 days). However, even when LAIs were used in early-phase schizophrenia, they were generally not the first therapy, as most patients had several prior OA treatments.

Effort-Cost Decision-making Among Individuals With Schizophrenia: A Systematic Review and Meta-analysis.

Importance: Motivational impairments in schizophrenia are by definition associated with poor outcome. It is postulated that the reduction of goal-directed behavior arises from abnormal trade-offs between rewards and efforts. Objective: To examine whether schizophrenia is associated with impairments in effort-cost decision-making. Data Sources: For this systematic review and meta-analysis, the PubMed, ScienceDirect, PsycINFO, Embase, and ClinicalTrials.gov databases were searched from inception to July 2022 for studies that investigated effort-cost decision-making in schizophrenia. Search terms included effort, cost, and schizophrenia. Study Selection: Consensual criteria for inclusion were peer-reviewed studies published in English that used a computerized effort-cost decision-making behavioral paradigm and compared individuals with schizophrenia with control individuals. Data Extraction and Synthesis: The Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline was used for abstracting data. Data were extracted independently by 2 authors and then pooled using random-effects sizes and bayesian approaches. Main Outcomes and Measures: The main outcomes were performance on effort-cost decision-making tasks requiring an effort-reward trade-off, measured by Hedges g effect size. Effects of moderators were tested with meta-regressions and subgroup analyses. Results: Twenty studies involving 1503 participants were included: 837 individuals with schizophrenia (541 [64.6%] male; mean [SD] age, 35.89 [6.70] years) and 666 control individuals without schizophrenia (360 [54.1%] male; mean [SD] age, 34.16 [5.92] years). Participants with schizophrenia had significantly reduced willingness to expend effort for rewards compared with controls (k = 20; effect size, 0.43; 95% CI, 0.30-0.56; P < .001; I2 = 33.1%; Q test P = .08). The magnitude of the deficit was significantly greater for high-reward trials. The severity of negative symptoms was negatively associated with effort-cost decision-making (k = 8; effect size, -0.33; 95% CI, -0.50 to -0.15; P < .001), while participants with a high number of negative symptoms had a significantly larger impairment in effort-cost decision-making (k = 5; effect size, 0.47; 95% CI, 0.10-0.84; P = .01). Conclusions and Relevance: In this systematic review and meta-analysis, schizophrenia was associated with deficits in effort allocation as indexed by effort-cost decision-making tasks. Understanding the cognitive and neurobiological mechanisms driving effort allocation impairments may assist in developing novel interventions.