Public health primary prevention implemented by clinical high-risk services for psychosis

Dynamic and Transdiagnostic Risk Calculator Based on Natural Language Processing for the Prediction of Psychosis in Secondary Mental Health Care: Development and Internal-External Validation Cohort Study

BACKGROUND

Automatic transdiagnostic risk calculators can improve the detection of individuals at risk of psychosis. However, they rely on assessment at a single point in time and can be refined with dynamic modeling techniques that account for changes in risk over time.

METHODS

We included 158,139 patients (5007 events) who received a first index diagnosis of a nonorganic and nonpsychotic mental disorder within electronic health records from the South London and Maudsley National Health Service Foundation Trust between January 1, 2008, and October 8, 2021. A dynamic Cox landmark model was developed to estimate the 2-year risk of developing psychosis according to the TRIPOD (Transparent Reporting of a multivariate prediction model for Individual Prognosis or Diagnosis) statement. The dynamic model included 24 predictors extracted at 9 landmark points (baseline, 0, 6, 12, 24, 30, 36, 42, and 48 months): 3 demographic, 1 clinical, and 20 natural language processing-based symptom and substance use predictors. Performance was compared with a static Cox regression model with all predictors assessed at baseline only and indexed via discrimination (C-index), calibration (calibration plots), and potential clinical utility (decision curves) in internal-external validation.

RESULTS

The dynamic model improved discrimination performance from baseline compared with the static model (dynamic: C-index = 0.9; static: C-index = 0.87) and the final landmark point (dynamic: C-index = 0.79; static: C-index = 0.76). The dynamic model was also significantly better calibrated (calibration slope = 0.97-1.1) than the static model at later landmark points (≥24 months). Net benefit was higher for the dynamic than for the static model at later landmark points (≥24 months).

CONCLUSIONS

These findings suggest that dynamic prediction models can improve the detection of individuals at risk for psychosis in secondary mental health care settings.

Pathways to care in youth and young adults at clinical high risk for psychosis in Switzerland: Current situation and clinical implementation of the PsyYoung project

AIM

We aim to give an insight into the current situation in Switzerland concerning the pathways to care of young people with clinical high risk of psychosis. In a second step we propose a procedure of optimizing pathways to care developed within the project PsyYoung.

METHODS

A qualitative survey derived and adapted from Kotlicka-Antczak et al. (2020) was conducted in large early detection services of three Swiss cantons (Geneva, Basel-Stadt, Vaud) focusing on pathways to care. More specifically, using questionnaires delivered to the heads of participating services, information was collected on referral sources, on activities to implement outreach campaigns and on the use of a pre-screening tool.

RESULTS

Main results on referral source indicated that sources were variable but seemed to come primarily from the medical sector and more so from the psychiatric sector. Very few referrals came from non-medical sectors. Outreach activities included the contact to other clinics as well as through brochures and posters. All services but one used the Prodromal Questionnaire - 16 as pre-screening tool.

CONCLUSIONS

All in all, the results indicate a referral and care pathway system implemented mostly within the medical and particularly mental health sector. Accordingly, the PsyYoung project proposes a procedure for pathways to care which could help overcome the obstacle of referrals being restrained to a narrow field of mental health and to harmonize the referral process within services dedicated to the same aim of helping young people at high risk of developing a psychosis.

The effectiveness of public health interventions, initiatives, and campaigns designed to improve pathways to care for individuals with psychotic disorders: A systematic review

PURPOSE

Lengthy duration of untreated psychosis (DUP) and duration of untreated illness (DUI) in people at clinical high-risk for psychosis (CHR-P) and first episode psychosis (FEP) is associated with poorer outcomes. However, individuals with FEP often experience negative pathways to care involving contacts with police, crisis services and requiring compulsory admissions, and evidence suggests individuals with both FEP and CHR-P often experience lengthy delays to treatment. Early detection interventions, such as public health interventions, may be one way to reduce delays. This systematic review aimed to synthesise the available evidence on such interventions.

METHODS

The EMBASE, PsychINFO, CINAHL, and MEDLINE databases were searched. Studies were included if they compared an intervention designed to improve timely access to treatment for individuals with FEP or CHR-P to standard treatment provision. Interventions may be targeted at potential patients, their families, the general public, or non-healthcare professionals. Outcomes of interest were DUP or DUI, and/or characteristics of pathways to care.

RESULTS

Nineteen studies met the inclusion criteria. All consisted of FEP populations, none of CHR-P populations. Employing narrative synthesis, we found mixed results about the effectiveness of interventions at reducing DUP and interventions appeared to differentially impact groups. Pathways to care information was limited and mixed.

CONCLUSION

Findings on the effectiveness of interventions designed to improve timely access to treatment were inconclusive. More research is warranted to better understand where delays occur and factors which may influence this for both FEP and CHR-P populations which may help to develop targeted interventions to address delays.

Identification of Psychosis Risk and Diagnosis of First-Episode Psychosis: Advice for Clinicians

Early detection of psychotic-spectrum disorders among adolescents and young adults is crucial, as the initial years after psychotic symptom onset encompass a critical period in which psychosocial and pharmacological interventions are most effective. Moreover, clinicians and researchers in recent decades have thoroughly characterized psychosis-risk syndromes, in which youth are experiencing early warning signs indicative of heightened risk for developing a psychotic disorder. These insights have created opportunities for intervention even earlier in the illness course, ideally culminating in the prevention or mitigation of psychosis onset. However, identification and diagnosis of early signs of psychosis can be complex, as clinical presentations are heterogeneous, and psychotic symptoms exist on a continuum. When a young person presents to a clinic, it may be unclear whether they are experiencing common, mild psychotic-like symptoms, early warning signs of psychosis, overt psychotic symptoms, or symptoms better accounted for by a non-psychotic disorder. Therefore, the purpose of this review is to provide a framework for clinicians, including those who treat non-psychotic disorders and those in primary care settings, for guiding identification and diagnosis of early psychosis within the presenting clinic or via referral to a specialty clinic. We first provide descriptions and examples of first-episode psychosis (FEP) and psychosis-risk syndromes, as well as assessment tools used to diagnose these conditions. Next, we provide guidance as to the differential diagnosis of conditions which have phenotypic overlap with psychotic disorders, while considering the possibility of co-occurring symptoms in which case transdiagnostic treatments are encouraged. Finally, we conclude with an overview of early detection screening and outreach campaigns, which should be further optimized to reduce the duration of untreated psychosis among youth.

Neurodevelopmental Subtypes of Functional Brain Organization in the ABCD Study Using a Rigorous Analytic Framework

The current study demonstrates that an individual's resting-state functional connectivity (RSFC) is a dependable biomarker for identifying differential patterns of cognitive and emotional functioning during late childhood. Using baseline RSFC data from the Adolescent Brain Cognitive Development (ABCD) study, which includes children aged 9-11, we identified four distinct RSFC subtypes We introduce an integrated methodological pipeline for testing the reliability and importance of these subtypes. In the Identification phase, Leiden Community Detection defined RSFC subtypes, with their reproducibility confirmed through a split-sample technique in the Validation stage. The Evaluation phase showed that distinct cognitive and mental health profiles are associated with each subtype, with the Predictive phase indicating that subtypes better predict various cognitive and mental health characteristics than individual RSFC connections. The Replication stage employed bootstrapping and down-sampling methods to substantiate the reproducibility of these subtypes further. This work allows future explorations of developmental trajectories of these RSFC subtypes.

The Translational Future of Stress Neurobiology and Psychosis Vulnerability: A Review of the Evidence

Psychosocial stress is a well-established risk factor for psychosis, yet the neurobiological mechanisms underlying this relationship have yet to be fully elucidated. Much of the research in this field has investigated hypothalamic-pituitary-adrenal (HPA) axis function and immuno-inflammatory processes among individuals with established psychotic disorders. However, as such studies are limited in their ability to provide knowledge that can be used to develop preventative interventions, it is important to shift the focus to individuals with increased vulnerability for psychosis (i.e., high-risk groups). In the present article, we provide an overview of the current methods for identifying individuals at high-risk for psychosis and review the psychosocial stressors that have been most consistently associated with psychosis risk. We then describe a network of interacting physiological systems that are hypothesised to mediate the relationship between psychosocial stress and the manifestation of psychotic illness and critically review evidence that abnormalities within these systems characterise highrisk populations. We found that studies of high-risk groups have yielded highly variable findings, likely due to (i) the heterogeneity both within and across high-risk samples, (ii) the diversity of psychosocial stressors implicated in psychosis, and (iii) that most studies examine single markers of isolated neurobiological systems. We propose that to move the field forward, we require well-designed, largescale translational studies that integrate multi-domain, putative stress-related biomarkers to determine their prognostic value in high-risk samples. We advocate that such investigations are highly warranted, given that psychosocial stress is undoubtedly a relevant risk factor for psychotic disorders.

Perspective on clinical high-risk for psychosis in Africa

Clinical High Risk for Psychosis has evolved in recent years as a conceptual and clinical entity, representing a shift in focus from the syndromal psychosis state to a recognition of the pre-psychotic state as a period of potential preventive intervention. Much existing evidence has been generated from well-resourced countries, with a more limited body of literature available from Africa and other Majority World countries. Against a backdrop of prevailing systemic challenges, it is necessary to appraise the state of knowledge on Clinical High Risk for Psychosis in Africa. In this perspective article, we cover epidemiology, risk factors, predictors of psychosis conversion, as well as an overview of sociocultural factors, notably stigma, and the barriers to mental health services in African settings. We discuss existing and promising assessment approaches and reflect on preventive and early intervention strategies. We conclude with recommendations including the need for more clinical, longitudinal, and collaborative research anchored in an integrative transdisciplinary approach. We highlight the need for more culturally valid assessment tools and strategies to improve access to and utilization of services while also reducing stigma.

Meta-analytic prevalence of comorbid mental disorders in individuals at clinical high risk of psychosis: the case for transdiagnostic assessment

Comorbid mental disorders in subjects at clinical high risk for psychosis (CHR-P) may impact preventive care. We conducted a PRISMA/MOOSE-compliant systematic meta-analysis, searching PubMed/PsycInfo up to June 21st, 2021 for observational studies/randomized controlled trials reporting on comorbid DSM/ICD-mental disorders in CHR-P subjects ( protocol ). The primary and secondary outcomes were baseline and follow-up prevalence of comorbid mental disorders. We also explored the association of comorbid mental disorders compared with CHR-P versus psychotic/non-psychotic control groups, their impact on baseline functioning and transition to psychosis. We conducted random-effects meta-analyses, meta-regression, and assessed heterogeneity/publication bias/quality (Newcastle Ottawa Scale, NOS). We included 312 studies (largest meta-analyzed sample = 7834, any anxiety disorder, mean age = 19.98 (3.40), females = 43.88%, overall NOS > 6 in 77.6% of studies). The prevalence was 0.78 (95% CI = 0.73-0.82, k = 29) for any comorbid non-psychotic mental disorder, 0.60 (95% CI = 0.36-0.84, k = 3) for anxiety/mood disorders, 0.44 (95% CI = 0.39-0.49, k = 48) for any mood disorders, 0.38 (95% CI = 0.33-0.42, k = 50) for any depressive disorder/episode, 0.34 (95% CI = 0.30-0.38, k = 69) for any anxiety disorder, 0.30 (95% CI 0.25-0.35, k = 35) for major depressive disorders, 0.29 (95% CI, 0.08-0.51, k = 3) for any trauma-related disorder, 0.23 (95% CI = 0.17-0.28, k = 24) for any personality disorder, and <0.23 in other mental disorders (I2 > 50% in 71.01% estimates). The prevalence of any comorbid mental disorder decreased over time (0.51, 95% CI = 0.25-0.77 over 96 months), except any substance use which increased (0.19, 95% CI = 0.00-0.39, k = 2, >96 months). Compared with controls, the CHR-P status was associated with a higher prevalence of anxiety, schizotypal personality, panic, and alcohol use disorders (OR from 2.90 to 1.54 versus without psychosis), a higher prevalence of anxiety/mood disorders (OR = 9.30 to 2.02) and lower prevalence of any substance use disorder (OR = 0.41, versus psychosis). Higher baseline prevalence of alcohol use disorder/schizotypal personality disorder was negatively associated with baseline functioning (beta from -0.40 to -0.15), while dysthymic disorder/generalized anxiety disorder with higher functioning (beta 0.59 to 1.49). Higher baseline prevalence of any mood disorder/generalized anxiety disorder/agoraphobia (beta from -2.39 to -0.27) was negatively associated with transition to psychosis. In conclusion, over three-quarters of CHR-P subjects have comorbid mental disorders, which modulate baseline functionig and transition to psychosis. Transdiagnostic mental health assessment should be warranted in subjects at CHR-P.

[Public mental health: Core component or side issue of public health?]

This article provides an overview of the self-conception, research, and fields of action of public mental health. It is becoming clear that mental health is a central element of public health and that a relevant knowledge base exists on this topic. In addition, lines of development of this field, which is gaining in importance in Germany, are shown. Although there are important current initiatives in the field of public mental health, such as the establishment of a Mental Health Surveillance (MHS) and the Mental Health Offensive, the positioning in the field does not correspond to the relevance of mental illness in population medicine.

Prevalence and incidence of psychotic disorders in 22q11.2 deletion syndrome: a meta-analysis

22q11.2 deletion syndrome (22q.11.2DS) might be one of the strongest genetic risk factors for psychosis, but robust estimates of prevalence and incidence of psychotic disorders in this condition are not available. To address this gap, we performed a multistep systematic PRISMA/MOOSE-compliant literature search of articles reporting prevalence (primary outcome) or incidence (secondary outcome) of psychotic disorders in 22q11.2DS samples (protocol: https://osf.io/w6hpg) using random-effects meta-analysis, subgroup analyses and meta-regressions. The pooled prevalence of psychotic disorders was 11.50% (95%CI:9.40-14.00%), largely schizophrenia (9.70%, 95%CI:6.50-14.20). Prevalence was significantly higher in samples with a mean age over 18 years, with both psychiatric and non-psychiatric comorbidities and recruited from healthcare services (compared to the community). Mean age was also significantly positively associated with prevalence in meta-regressions (p < 0.01). The pooled incidence of psychotic disorders was 10.60% (95%CI:6.60%-16.70%) at a mean follow-up time of 59.27 ± 40.55 months; meta-regressions were not significant. To our knowledge, this is the first comprehensive systematic review and meta-analysis of the prevalence and incidence of psychotic disorders in 22q11.2DS individuals. It demonstrates that around one in ten individuals with 22q11.2DS displays comorbid psychotic disorders, and around one in ten will develop psychosis in the following five years, indicating that preventive approaches should be implemented systematically in 22q11.2DS.

Ethical considerations for precision psychiatry: A roadmap for research and clinical practice

Precision psychiatry is an emerging field with transformative opportunities for mental health. However, the use of clinical prediction models carries unprecedented ethical challenges, which must be addressed before accessing the potential benefits of precision psychiatry. This critical review covers multidisciplinary areas, including psychiatry, ethics, statistics and machine-learning, healthcare and academia, as well as input from people with lived experience of mental disorders, their family, and carers. We aimed to identify core ethical considerations for precision psychiatry and mitigate concerns by designing a roadmap for research and clinical practice. We identified priorities: learning from somatic medicine; identifying precision psychiatry use cases; enhancing transparency and generalizability; fostering implementation; promoting mental health literacy; communicating risk estimates; data protection and privacy; and fostering the equitable distribution of mental health care. We hope this blueprint will advance research and practice and enable people with mental health problems to benefit from precision psychiatry.

Effect of stress management based on cognitive-behavioural therapy on nurses as a universal prevention in the workplace: a systematic review and meta-analysis protocol

INTRODUCTION

The mental health status of nurses affects not only their well-being but also the organisational outcomes and the quality of patient care. Hence, stress management strategies are critical as a universal prevention measure that address an entire population and are not directed at a specific risk group to maintain nurses' mental health in the workplace. No systematic review or meta-analysis has been conducted to evaluate the effect of cognitive-behavioural therapy (CBT) that specifically focuses on universal prevention. Therefore, the aim of this study is to examine the effectiveness that is reported in published randomised controlled trial (RCT) studies.

METHODS AND ANALYSIS

This systematic review and meta-analysis will analyse published studies selected from electronic databases (ie, Cochrane Central Register of Controlled Trials, PubMed, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, PsycARTICLES, Web of Science and the Japan Medical Abstracts Society). The inclusion criteria for studies are that they (1) were conducted to assess the effect of CBT on the mental health of nurses as a universal prevention, (2) used an RCT design and (3) provided sufficient results (sample sizes, means and SD) to estimate the pooled effect sizes with 95% CIs. Studies will be excluded if they only targeted nurses who had been screened as being at high risk in terms of their mental health and indicated that they required the prevention. The methodological quality of the included studies will be assessed using the Cochrane Collaboration's risk of bias tool.

ETHICS AND DISSEMINATION

Ethical approval is not required because this study is based on information obtained from previous studies. The results and findings of this study will be submitted for publication in a peer-reviewed international scientific journal. Results from this study will be helpful when implementing CBT strategies for nurses as a universal preventative measure in the workplace and for managing stress-related outcomes.

PROSPERO REGISTRATION NUMBER

CRD42020152837.

Mapping the implementation and challenges of clinical services for psychosis prevention in England

INTRODUCTION

Indicated primary prevention of psychosis is recommended by NICE clinical guidelines, but implementation research on Clinical High Risk for Psychosis (CHR-P) services is limited.

METHODS

Electronic audit of CHR-P services in England, conducted between June and September 2021, addressing core implementation domains: service configuration, detection of at-risk individuals, prognostic assessment, clinical care, clinical research, and implementation challenges, complemented by comparative analyses across service model. Descriptive statistics, Fisher's exact test and Mann-Whitney U-tests were employed.

RESULTS

Twenty-four CHR-P clinical services (19 cities) were included. Most (83.3%) services were integrated within other mental health services; only 16.7% were standalone. Across 21 services, total yearly caseload of CHR-P individuals was 693 (average: 33; range: 4-115). Most services (56.5%) accepted individuals aged 14-35; the majority (95.7%) utilized the Comprehensive Assessment of At Risk Mental States (CAARMS). About 65% of services reported some provision of NICE-compliant interventions encompassing monitoring of mental state, cognitive-behavioral therapy (CBT), and family interventions. However, only 66.5 and 4.9% of CHR-P individuals actually received CBT and family interventions, respectively. Core implementation challenges included: recruitment of specialized professionals, lack of dedicated budget, and unmet training needs. Standalone services reported fewer implementation challenges, had larger caseloads (p = 0.047) and were more likely to engage with clinical research (p = 0.037) than integrated services.

DISCUSSION

While implementation of CHR-P services is observed in several parts of England, only standalone teams appear successful at detection of at-risk individuals. Compliance with NICE-prescribed interventions is limited across CHR-P services and unmet needs emerge for national training and investments.