Diagnoses of common mental disorders among social workers in Sweden: A register-based cohort study.

BACKGROUND: Little is known about common mental disorders (CMD) diagnoses among social workers, i.e., depression, anxiety, or stress-related disorders. This study aims to examine the risk of CMD among social workers in comparison to other workers and to further investigate differences between men and women and specific occupational titles. METHODS: This register-based cohort study consists of 3,034,304 persons, of which 26,610 were social workers (0.9 % of all workers), aged 30-64 years, living in Sweden in 2015. The risk of diagnosed CMDs was followed up until 2020. Cox regression models were used to calculate hazard ratios (HR) and 95 % confidence intervals (CI), adjusting for sex, birth country, education, and birth year. RESULTS: The participants were followed up by a total of 16,833,742.9 person-years, with an average follow-up of 5.5 years. Social workers, compared to other workers, were at a higher risk of CMD (HR 1.3, 95 % CI 1.2-1.4) after adjustment. The HR was equal, 1.3, for depression (95 % CI 1.2-1.5) and anxiety or stress-related disorder (95 % CI 1.2-1.4). The association between social work and CMD was stronger among men (HR 1.7, 95 % CI 1.6-1.9) compared to women (HR 1.2, 95 % CI 1.1-1.3). Further, men working as assistance analysts had the highest risk among the occupational categories (HR 2.2, 95 % CI 1.2-3.9). LIMITATIONS: CMD diagnoses only included cases treated in secondary care. CONCLUSIONS: Social workers, especially male social workers, had a higher risk of CMD. This deserves attention for future research and interventions aimed at improving the mental health of social workers.

Risks for re-hospitalization of persons with severe mental illness living in rehabilitation care settings.

BACKGROUND: The high rates of psychiatric re-hospitalizations (also termed "revolving door") presents a "wicked problem" which requires a systematic and holistic approach to its resolution. Israel's mental-health rehabilitation law provides a comprehensive set of services intended to support the ability of persons with severe mental illness to rely on community rather than in-patient facilities for their ongoing care needs. Guided by the Health Behavior Model, we examined the relationship between psychiatric re-hospitalizations and the three Health Behavior Model factors (predisposing factor: socio-demographic characteristics and health beliefs; enabling factor: personal and social/vocational relationships facilitated by rehabilitation interventions and services; and need factor: outcomes including symptoms, and mental health and functional status) among persons with severe mental illness receiving rehabilitation services. METHODS: Logistic regression models were used to measure the association between re-hospitalization within a year and variables comprising the three Health Behavior Model factors on the sample of consumers utilizing psychiatric services (n = 7,165). The area under the curve for the model was calculated for each factor separately and for all three factors combined. RESULTS: A total of 846 (11.8%) consumers were hospitalized within a year after the study began. Although multivariable analyses showed significant associations between re-hospitalization and all three Health Behavior Model factors, the magnitude of the model's area under the curve differed: 0.61 (CI = 0.59-0.64), 0.56 (CI = 0.54-0.58), 0.78 (CI = 0.77-0.80) and 0.78 (CI = 0.76-0.80) for predisposing, enabling, need and the full three-factor Health Behavior Model, respectively. CONCLUSION: Findings revealed that among the three Health Behavior Model factors, the need factor best predicted re-hospitalization. The enabling factor, comprised of personal relationships and social/vocational activities facilitated by interventions and services representing many of psychiatric rehabilitation's key goals, had the weakest association with reduced rates of re-hospitalization. Possible explanations may be inaccurate assessments of consumers' personal relationships and social/vocational activities by the mental healthcare professionals, problematic provider-consumer communication on the consumers' involvement in social/vocational activities, or ineffective methods of facilitating consumer participation in these activities. Clearly to reduce the wicked "revolving-door" phenomenon, there is a need for targeted interventions and a review of current psychiatric rehabilitation policies to promote the comprehensive integration of community rehabilitation services by decreasing the fragmentation of care, facilitating continuity of care with other healthcare services, and utilizing effective personal reported outcomes and experiences of consumers with severe mental illness.

In-Person Visits Before Initiation of Telemedicine for Mental Illness.

This cross-sectional study examines how often patients had an in-person visit before initiating telemedicine for mental illness between 2019 and 2022.

Using emulated clinical trials to investigate the risk of being diagnosed with psychiatric ill health following the cancer diagnosis of a sibling.

BACKGROUND: The sibling bond is often the longest relationship in an individual's life, spanning both good and bad times. Focusing on the latter, we investigated whether a cancer diagnosis in one adult sibling is predictive of psychiatric illness in the other, and if any such effect differs according the 'sociodemographic closeness' between the siblings in terms of sex, age, education, marital status and residence. METHODS: We used hospital records to identify psychiatric diagnoses (2005-2019) in a Swedish total-population cohort born in 1953, and cancer diagnoses (2005-2017) in their full siblings. By means of emulated clinical trials, the cohort member's risk of a diagnosis within two years following a first exposure (or non-exposure) to a sibling's cancer was analyzed through Cox regression. RESULTS: Exposed cohort members had a higher risk of psychiatric diagnosis than unexposed (HR = 1.15; CI: 1.08-1.23), with men displaying a higher risk (1.19; CI: 1.09-1.31) than women (HR = 1.11; CI: 1.01-1.22). Sub-analyses of the exposed group showed that women with a cancer-stricken sister had a higher risk of adverse psychiatric outcomes (HR = 1.31; CI: 1.07-1.61) than women with a cancer-stricken brother. Furthermore, unmarried cohort members ran a higher risk, both when the cancer-stricken sibling was married (HR = 2.03; CI: 1.67-2.46) and unmarried (HR = 2.61; CI: 2.16-3.15), than in cases where both siblings were married. No corresponding difference were detected for 'closeness' in age, education and residence. CONCLUSIONS: In line with theories of linked lives, our findings suggest that negative events in one sibling's life tend to 'spill over' on the other sibling's wellbeing, at least during the 15-year-long period leading up to retirement age.

Factors influencing integration of mental health screening and treatment at HIV clinic settings in Cameroon: a qualitative study of health providers' perspectives.

BACKGROUND: Mental disorders are common among people with HIV (PWH) and are associated with poor HIV outcomes. Despite high unmet mental health needs among PWH, use of evidence-based mental health screening and treatment protocols remains limited at HIV treatment facilities across low-resource settings. Integrating mental health services into HIV care can reduce this gap. This study's objective was to explore factors that influence integration of mental health screening and treatment into HIV clinics in Cameroon. METHODS: We analyzed 14 in-depth interviews with clinic staff supporting PWH at three urban HIV treatment clinics in Cameroon. Interviews focused on current processes, barriers and facilitators, and types of support needed to integrate mental health care into HIV care. Interviews were recorded and transcribed. French transcripts were translated into English. We used thematic analysis to identify factors that influence integration of mental health screening and treatment into HIV care in these settings. Ethical review boards in the United States and Cameroon approved this study. RESULTS: Respondents discussed a lack of standardized mental health screening processes in HIV treatment facilities and generally felt ill-equipped to conduct mental health screening. Low community awareness about mental disorders, mental health-related stigma, limited physical space, and high clinic volume affected providers' ability to screen clients for mental disorders. Providers indicated that better coordination and communication were needed to support client referral to mental health care. Despite these barriers, providers were motivated to screen clients for mental disorders and believed that mental health service provision could improve quality of HIV care and treatment outcomes. All providers interviewed said they would feel more confident screening for mental disorders with additional training and resources. Providers recommended community sensitization, training or hiring additional staff, improved coordination to manage referrals, and leadership buy-in at multiple levels of the health system to support sustainable integration of mental health screening and treatment into HIV clinics in Cameroon. CONCLUSIONS: Providers reported enthusiasm to integrate mental health services into HIV care but need more support and training to do so in an effective and sustainable manner.

Comparing nurses attending a specialised mental health programme with and without substance use disorder: a retrospective, observational study in Spain.

OBJECTIVES: To analyse the differences between nurses with and without substance use disorders (SUDs) admitted to a specialised mental health programme. DESIGN: Retrospective, observational study. SETTING: Specialised mental health treatment programme for nurses in Catalonia, Spain. PARTICIPANTS: 1091 nurses admitted to the programme from 2000 to 2021. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOMES: Sociodemographic, occupational and clinical variables were analysed. Diagnoses followed Diagnostic and Statistical Manual of Mental Disorders, 4th edition, Text Revision criteria. RESULTS: Most nurses admitted to the programme were women (88%, n=960) and came voluntarily (92.1%, n=1005). The mean age at admission was 45 (SD=10.4) years. The most common diagnoses were adjustment disorders (36.6%, n=399), unipolar mood disorders (25.8%, n=282), anxiety disorders (16.4%, n=179) and SUDs (13.8%, n=151). Only 19.2% (n=209) of the sample were hospitalised during their first treatment episode. After multivariate analysis, suffering from a SUD was significantly associated with being a man (OR=4.12; 95% CI 2.49 to 6.82), coming after a directed referral (OR=4.55; 95% CI 2.5 to 7.69), being on sick leave at admission (OR=2.21; 95% CI 1.42 to 3.45) and needing hospitalisation at the beginning of their treatment (OR=12.5; 95% CI 8.3 to 20). CONCLUSIONS: Nurses with SUDs have greater resistance to voluntarily asking for help from specialised mental health treatment programmes and have greater clinical severity compared with those without addictions. SUDs are also more frequent among men. More actions are needed to help prevent and promote earlier help-seeking behaviours among nurses with this type of mental disorder.

Biosensors for psychiatric biomarkers in mental health monitoring.

Psychiatric disorders are associated with serve disturbances in cognition, emotional control, and/or behavior regulation, yet few routine clinical tools are available for the real-time evaluation and early-stage diagnosis of mental health. Abnormal levels of relevant biomarkers may imply biological, neurological, and developmental dysfunctions of psychiatric patients. Exploring biosensors that can provide rapid, in-situ, and real-time monitoring of psychiatric biomarkers is therefore vital for prevention, diagnosis, treatment, and prognosis of mental disorders. Recently, psychiatric biosensors with high sensitivity, selectivity, and reproducibility have been widely developed, which are mainly based on electrochemical and optical sensing technologies. This review presented psychiatric disorders with high morbidity, disability, and mortality, followed by describing pathophysiology in a biomarker-implying manner. The latest biosensors developed for the detection of representative psychiatric biomarkers (e.g., cortisol, dopamine, and serotonin) were comprehensively summarized and compared in their sensitivities, sensing technologies, applicable biological platforms, and integrative readouts. These well-developed biosensors are promising for facilitating the clinical utility and commercialization of point-of-care diagnostics. It is anticipated that mental healthcare could be gradually improved in multiple perspectives, ranging from innovations in psychiatric biosensors in terms of biometric elements, transducing principles, and flexible readouts, to the construction of 'Big-Data' networks utilized for sharing intractable psychiatric indicators and cases.

Developing a prediction model to identify people with severe mental illness without regular contact to their GP - a study based on data from the Danish national registers.

INTRODUCTION: People with severe mental illness (SMI) face a higher risk of premature mortality due to physical morbidity compared to the general population. Establishing regular contact with a general practitioner (GP) can mitigate this risk, yet barriers to healthcare access persist. Population initiatives to overcome these barriers require efficient identification of those persons in need. OBJECTIVE: To develop a predictive model to identify persons with SMI not attending a GP regularly. METHOD: For individuals with psychotic disorder, bipolar disorder, or severe depression between 2011 and 2016 (n = 48,804), GP contacts from 2016 to 2018 were retrieved. Two logistic regression models using demographic and clinical data from Danish national registers predicted severe mental illness without GP contact. Model 1 retained significant main effect variables, while Model 2 included significant bivariate interactions. Goodness-of-fit and discriminating ability were evaluated using Hosmer-Lemeshow (HL) test and area under the receiver operating characteristic curve (AUC), respectively, via cross-validation. RESULTS: The simple model retained 11 main effects, while the expanded model included 13 main effects and 10 bivariate interactions after backward elimination. HL tests were non-significant for both models (p = 0.50 for the simple model and p = 0.68 for the extended model). Their respective AUC values were 0.789 and 0.790. CONCLUSION: Leveraging Danish national register data, we developed two predictive models to identify SMI individuals without GP contact. The extended model had slightly better model performance than the simple model. Our study may help to identify persons with SMI not engaging with primary care which could enhance health and treatment outcomes in this group.

[Insomnia and psychiatric disorders]. / Insomnie et troubles psychiatriques.

INSOMNIA AND PSYCHIATRIC DISORDERS. Insomnia is frequent in psychiatric disorders. In particular, insomnia can be a risk factor, as well as a comorbid condition, or a symptom and an early sign of psychiatric disorders. Insomnia may emerge during any stage of illness. It includes prodromal, first episode, acute, recurrence, and even remission stages, thereby being associated with a worse course of illness. Insomnia increased symptom severity, relapses or recurrences, and increased suicidal risk. Thus, insomnia is an important modifiable risk factor to prevent psychiatric disorders and/or achieve and maintain remission. Thereby insomnia evaluation and management should be a priority in psychiatric cares. Indeed, it has been demonstrated that targeting insomnia can not only improve insomnia itself but also have a positive impact on the trajectory of psychiatric disorders.

INSOMNIE ET TROUBLES PSYCHIATRIQUES. L'insomnie est un trouble fréquent au cours des pathologies psychiatriques. En particulier, elle peut constituer un facteur de risque, ainsi qu'une condition comorbide, ou un symptôme et un signe précoce de troubles psychiatriques. Elle correspond au trouble du sommeil le plus courant associé aux pathologies psychiatriques et peut apparaître à n'importe quel stade de la maladie (prodromes, premier épisode, phase aiguë, récidive et même rémission). Elle est associée à une évolution plus défavorable de la maladie, à une sévérité accrue des symptômes, à des rechutes ou des récidives et à un risque suicidaire plus élevé. Ainsi, l'insomnie est un facteur de risque modifiable important pour prévenir les troubles psychiatriques et/ou atteindre et maintenir la rémission. L'évaluation et la prise en charge de l'insomnie devraient donc être une priorité dans les soins psychiatriques. En effet, il a été démontré que le fait de cibler l'insomnie peut non seulement améliorer l'insomnie en elle-même mais également avoir un impact favorable sur la trajectoire des troubles psychiatriques.

The hierarchical taxonomy of psychopathology in clinical high risk for psychosis: Validation and extension.

The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium's transdiagnostic dimensional model of psychopathology has considerable support; however, this model has been underresearched in individuals at clinical high risk for psychosis (CHR-P), a population that may advance the model. CHR-P individuals not only have attenuated psychotic symptoms that vary in severity, but also have many comorbid diagnoses and varied clinical outcomes, including disorders with uncertain relations to HiTOP (e.g., obsessive-compulsive disorder). The present study used self-report and interview data from North American Prodrome Longitudinal Study-3 (710 CHR, 96 controls) to replicate the HiTOP model and test specific hypotheses regarding disorders with uncertain relations to its dimensions. Additionally, the present study examined the HiTOP model in relation to childhood trauma, declines in social functioning, and development of full psychosis. Confirmatory factor analysis indicated that the HiTOP model's fit was nearly adequate (e.g., comparative fit index = .89), though several theory-relevant modifications were indicated. Additionally, specific tests were conducted to gain a more fine-grained perspective on how disorders with less clear prior evidence were related to the HiTOP model. Notable findings from these analyses include bipolar spectrum disorders relating to the psychosis super spectrum (i.e., .39 loading), and obsessive-compulsive disorder showing a complex pattern of loadings (e.g., internalizing and psychosis). The final model parsimoniously accounted for childhood trauma (e.g., super spectra rs = .22-.32), associations with current functioning, and predicted future conversion to a psychotic disorder (e.g., super spectra R² = .13). Overall, these results inform the HiTOP model and suggest its promise for CHR-P research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A detailed hierarchical model of psychopathology in Chinese clinical sample: Based on the SCL-90-R measure.

OBJECTIVE: The Hierarchical Taxonomy of Psychopathology (HiTOP)model is an impressive effort to overcome shortcomings of traditional diagnostic systems. However, almost all of the quantitative empirical evidence used to structure the model comes from Western cultures and is built upon traditional diagnostic categories. This study aims to provide a detailed Chinese version of the HiTOP structure, ranging from symptoms based on The Symptom Checklist 90-R (SCL-90-R) up to the general factor. METHODS: We explored the detailed hierarchical structure of the SCL-90-R scale in adult (N = 34,222) and adolescent (N = 1973) clinical sample from Shanghai Mental Health Center, using extended bass-ackwards approach to draw the HiTOP model. RESULTS: The Chinese HiTOP structure had a general factor at the top, 4 higher-order spectra (Internalizing, Externalizing, Broad Thought Disorder and Somatization and Somatic Anxiety) and 6 subfactors (Distress, Somatoform, Hostility, Fear, Psychosis and OCD) across both adult and adolescent samples. In addition, the adult sample contained 2 other subfactors: a) Sleep, and b) Suicide and Guilt. At the symptom level, some items were posited to components diverged from the original SCL-90-R subscales. CONCLUSIONS: These findings offer the first description of the HiTOP structure in two Chinese samples and demonstrate that the SCL-90-R can be used to examine the HiTOP structure. The Somatization spectrum first emerged as a higher-order dimension, suggesting structural differences between Western and Eastern cultures. The results also suggest that transdiagnostic research should (1) further examine the positioning of somatoform symptoms using measures in other Eastern samples, and (2) place more emphasis on interpreting SCL-90-R results across different cultures.

[How can we ensure the future care for children and adolescents with mental disorders?] / Wie sichern wir in Zukunft die Versorgung von Kindern und Jugendlichen mit psychischen Erkrankungen?

The interdisciplinary care of children and adolescents with mental disorders requires services from various German codes of social law and-within the medical care system-enclosing inpatient and outpatient services. The increasing demand, the increase in severity of disorders, and the general shortage of staff in social services put pressure on the structures of the interdisciplinary service networks resulting in long waiting periods, long distances, and regionally insufficient care. The medical field of child and adolescent psychiatry and psychotherapy (CAPP) plays the central and coordinating role within the cooperative care for children and adolescents with mental disorders. The CAPP is in clear need of reforms; however, these are markedly different from the reform needs of the German somatic medical care system and differ substantially from those of the (adult) psychiatry, psychotherapy, and psychosomatics disciplines. This discussion paper describes the reform requirements, the specifics of the CAPP structures, and suggestions to overcome sectors of service provision, enhance networking, intensify telemedicine, and develop evidence-based prevention and early recognition of child mental disorders.

A mixed-method systematic review of the perspectives of young people, carers and professionals on psychiatric diagnosis in childhood and adolescence.

PROBLEM: The significance and complexities of a psychiatric diagnosis have been well-documented in existing literature. Despite the reliability and accuracy of such diagnoses, the impact and use of diagnostic labelling on young people remains unclear. METHODS: A systematic review was conducted using six databases, identifying 13 studies that explored psychiatric diagnosis experiences in professionals, caregivers, and young people. FINDINGS: This review focuses on three main themes related to psychiatric diagnosis in young people. The first theme is diagnostic subjectivity, which explores the accuracy, usefulness, potential harm and alternatives (e.g. psychological formulation) to psychiatric diagnosis in this population. The second theme is the utility of psychiatric diagnosis, which considers whether it helps young people access appropriate support and gain a better understanding of themselves and their presenting issues. The third theme is stigma, which examines the negative experiences and discrimination that young people may face due to their psychiatric diagnosis. CONCLUSIONS: There is relatively limited literature which discusses the experience of psychiatric diagnosis in young people, caregivers and professionals. The available literature is difficult to compare due to discrepancies between methodologies and services, and there are several gaps i.e. a limited focus on the experience of young people themselves. Different views and experiences of psychiatric diagnosis among professionals, caregivers, and young people could impact young people's quality of life, access to healthcare, and identity development. The current literature needs to be more comprehensive to draw firm conclusions about young people's experiences with psychiatric diagnosis.

Development and validation of the Autonomy Scale Amsterdam.

This paper describes the development and validation of the Autonomy Scale Amsterdam (ASA). We propose that a new measure of autonomy is needed and, as such, we developed and validated an autonomy scale relevant for psychiatry. Based on literature, an expert meeting and three samples of the general population (N = 298, N = 207, N = 309) we provide evidence (a) that supports a 6-factor structure model as a better fit than alternative models with a high reliability to capture the concept of autonomy consisting of: Self-integration, Engagement with life, Goal-directedness, Self-control, External constraints and Social support, (b) for the scale's convergent and discriminant validity with constructs in autonomy's nomological network and (c) for the scale's criterion validity with well-established well-being outcomes, and (d) that the measure is not redundant with a prior measure of autonomy, the autonomy-connectedness scale, and demonstrates incremental validity in the prediction of mental health over and above an existing measure of autonomy. Taken together, the results suggest that the ASA is a useful scale that shows positive evidence of psychometric quality to measure autonomy in a sample of the general population (total N = 856), accounting for a unique predictive value over and above an existing measure of autonomy concerning several mental health outcomes. The ASA can further help our understanding of the role of autonomy in mental disorders.

Epidemiology of DSM-5 psychiatric disorders in Kenyan Youth with Low and High Psychosis Risk.

INTRODUCTION: There are few psychiatric epidemiology studies among Kenyan youth and fewer among those at high psychosis risk (HR). METHODS: This study assessed the epidemiology of DSM-5 psychiatric disorders in HR and low-risk (LR) individuals to inform research and mental health services. 567 participants (aged 15-25) in HR (n = 246) and LR (n = 260) groups based on Washington Early Recognition Center Affectivity and Psychosis (WERCAP) Screen scores. Diagnostic Interview Schedule, version 5 (DIS-5) assessed DSM-5 psychiatric disorder prevalence. Diagnostic comorbidity and demographic relationships were investigated. RESULTS: A higher prevalence was observed for all DSM-5 disorders in the HR group, significantly for gambling disorder (13% vs. 5.8%), major depressive disorder (9.8% vs. 3.8%), antisocial personality disorder (5.7% vs. 2.3%), general anxiety disorder (4.9% vs. 0.4%), oppositional defiant disorder (3.3% vs. 0.4%), panic disorder (2.8% vs. 0.8%), and anorexia nervosa (2.8% vs. 0%). Gambling disorder was the most prevalent and showed significant gender effects (males>females). DISCUSSION: Psychiatric disorders occur at increased rates among HR compared to LR. Prevalence rates found are lower than in US studies, except for gambling disorder which was highly prevalent. Large-population-based epidemiology studies in Africa are needed to estimate rates, particularly of disorders such as schizophrenia, accurately.

Point of Care Testing (POCT) in Psychopathology Using Fractal Analysis and Hilbert Huang Transform of Electroencephalogram (EEG).

Research has shown that relying only on self-reports for diagnosing psychiatric disorders does not yield accurate results at all times. The advances of technology as well as artificial intelligence and other machine learning algorithms have allowed the introduction of point of care testing (POCT) including EEG characterization and correlations with possible psychopathology. Nonlinear methods of EEG analysis have significant advantages over linear methods. Empirical mode decomposition (EMD) is a reliable nonlinear method of EEG pre-processing. In this chapter, we compare two existing EEG complexity measures - Higuchi fractal dimension (HFD) and sample entropy (SE), with our newly proposed method using Higuchi fractal dimension from the Hilbert Huang transform (HFD-HHT). We present an example using the three complexity measures on a 2-minute EEG recorded from a healthy 20-year-old male after signal pre-processing. Furthermore, we showed the usefulness of these complexity measures in the classification of major depressive disorder (MDD) with healthy controls. Our study is in line with previous research and has shown an increase in HFD and SE values in the full, alpha and beta frequency bands suggestive of an increase in EEG irregularity. Moreover, the HFD-HHT values decreased in those three bands for majority of electrodes which is suggestive of a decrease in irregularity in the frequency-time domain. We conclude that all three complexity measures can be vital features useful for EEG analysis which could be incorporated in POCT systems.