The ICD-11 developmental field study of reliability of diagnoses of high-burden mental disorders: results among adult patients in mental health settings of 13 countries

Assessing complex PTSD and PTSD: validation of the German version of the International Trauma Interview (ITI)

Background: With the introduction of the ICD-11 into clinical practice, the reliable distinction between Posttraumatic Stress Disorder (PTSD) and Complex Posttraumatic Stress Disorder (CPTSD) becomes paramount. The semi-structured clinician-administered International Trauma Interview (ITI) aims to close this gap in clinical and research settings.Objective: This study investigated the psychometric properties of the German version of the ITI among trauma-exposed clinical samples from Switzerland and Germany.Method: Participants were 143 civilian and 100 military participants, aged M = 40.3 years, of whom 53.5% were male. Indicators of reliability and validity (latent structure, internal reliability, inter-rater agreement, convergent and discriminant validity) were evaluated. Confirmatory factor analysis (CFA) and partial correlation analysis were conducted separately for civilian and military participants.Results: Prevalence of PTSD was 30% (civilian) and 33% (military) and prevalence of CPTSD was 53% (civilians) and 21% (military). Satisfactory internal consistency and inter-rater agreement were found. In the military sample, a parsimonious first-order six-factor model was preferred over a second-order two-factor CFA model of ITI PTSD and Disturbances in Self-Organization (DSO). Model fit was excellent among military participants but no solution was supported among civilian participants. Overall, convergent validity was supported by positive correlations of ITI PTSD and DSO with DSM-5 PTSD. Discriminant validity for PTSD symptoms was confirmed among civilians but low in the military sample.Conclusions: The German ITI has shown potential as a clinician-administered diagnostic tool for assessing ICD-11 PTSD and CPTSD in primary care. However, further exploration of its latent structure and discriminant validity are indicated.

The association between depression and the cortisol awakening response is moderated by loneliness in men from a non-clinical sample

Previous studies investigating cortisol levels in people with depression or depressive symptoms have provided mixed findings. It has been suggested that the difficulty to generalize findings across studies in this field might be related to interindividual variability in experiencing depressive symptoms in terms of clinical and social contexts. Therefore, in the present study we aimed to test the association of morning cortisol levels and depressive symptoms in a non-clinical sample of young men taking into consideration the level of perceived loneliness. We hypothesized that the level of loneliness might moderate the association between morning cortisol levels and depressive symptoms. A total of 102 participants (aged 29.9 ± 5.0 years) completed questionnaires measuring the levels of depressive and anxiety symptoms, perceived stress, and loneliness. Cortisol levels were determined in four morning samples of saliva. There were significant positive correlations of the cortisol awakening response (CAR) and the mean increase in cortisol levels during the measurement period (MnInc) with the levels of depressive symptoms and loneliness. Moreover, a significant association of the depressive symptoms by loneliness interaction with the CAR and the MnInc was found. Specifically, the correlation of depressive symptoms with the CAR and the MnInc appeared to be significant and negative at high levels of loneliness. No significant association between depressive symptoms and the CAR was observed in men with low levels of loneliness. There were no significant associations of depressive symptoms, loneliness and the depressive symptoms by loneliness interaction with cortisol levels at awakening. In conclusion, findings from the present study indicate the importance of social contexts in understanding the association between altered activity of the hypothalamic-pituitary-adrenal axis and depressive symptoms in men.

CERAD-NAB and flexible battery based neuropsychological differentiation of Alzheimer's dementia and depression using machine learning approaches

Depression (DEP) and dementia of the Alzheimer's type (DAT) represent the most common neuropsychiatric disorders in elderly patients. Accurate differential diagnosis is indispensable to ensure appropriate treatment. However, DEP can yet mimic cognitive symptoms of DAT and patients with DAT often also present with depressive symptoms, impeding correct diagnosis. Machine learning (ML) approaches could eventually improve this discrimination using neuropsychological test data, but evidence is still missing. We therefore employed Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF) and conventional Logistic Regression (LR) to retrospectively predict the diagnoses of 189 elderly patients (68 DEP and 121 DAT) based on either the well-established Consortium to Establish a Registry for Alzheimer's Disease neuropsychological assessment battery (CERAD-NAB) or a flexible battery approach (FLEXBAT). The best performing combination consisted of FLEXBAT and NB, correctly classifying 87.0% of patients as either DAT or DEP. However, all accuracies were similar across algorithms and test batteries (83.0% - 87.0%). Accordingly, our study is the first to show that common ML algorithms with their default parameters can accurately differentiate between patients clinically diagnosed with DAT or DEP using neuropsychological test data, but do not necessarily outperform conventional LR.

Impact of the ICD-11 on the accuracy of clinical coding in Korea

Background: ICD-11 was officially released at the World Health Assembly on 25 May 2019. Objective: To find effective ways to increase the accuracy of coding for diagnostic terms in Korea for a stable transition from Korean modification of ICD-10 (7th Revision of Korean Classification of Disease, KCD-7) to ICD-11. Method: A total of 27 skilled Korean health information managers performed KCD-7 and ICD-11 coding simultaneously (line coding [56]; case coding [17]). Accuracy rates and percentage agreements were calculated, and granularity and difficulty of the ICD-11 were rated by participants. Results: The average accuracy rate of line coding was 71.6 % in ICD-11 and 80.2% in KCD-7, which was similar to results in other studies. The mean percentage agreements for ICD-11 and KCD-7 for line coding were 64.2% and 72.1%, respectively; while for case coding it was 15.3% and 26.6%. Selection criteria for the case scenarios may have influenced the low agreements in case coding. Cluster coding, changes of terms in ICD-11 and removal of codes used in ICD-10 contributed to low agreement in ICD-11 (46.6% of participants reported that granularity of ICD-11 was similar to ICD-10, while 36.9% reported that ICD-11 had finer granularity). In terms of difficulty, 15.3% of participants found line coding difficult and 10.9% found case coding difficult. Conclusion: Provision of more detailed reference guidelines and efficient training for coding professionals by the World Health Organization would enable ICD-11 to be an excellent tool for gathering relevant information about diseases in Korea.

The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia

The ongoing developments of psychiatric classification systems have largely improved reliability of diagnosis, including that of schizophrenia. However, with an unknown pathophysiology and lacking biomarkers, its validity still remains low, requiring further advancements. Research has helped establish multiple sclerosis (MS) as the central nervous system (CNS) disorder with an established pathophysiology, defined biomarkers and therefore good validity and significantly improved treatment options. Before proposing next steps in research that aim to improve the diagnostic process of schizophrenia, it is imperative to recognize its clinical heterogeneity. Indeed, individuals with schizophrenia show high interindividual variability in terms of symptomatic manifestation, response to treatment, course of illness and functional outcomes. There is also a multiplicity of risk factors that contribute to the development of schizophrenia. Moreover, accumulating evidence indicates that several dimensions of psychopathology and risk factors cross current diagnostic categorizations. Schizophrenia shares a number of similarities with MS, which is a demyelinating disease of the CNS. These similarities appear in the context of age of onset, geographical distribution, involvement of immune-inflammatory processes, neurocognitive impairment and various trajectories of illness course. This article provides a critical appraisal of diagnostic process in schizophrenia, taking into consideration advancements that have been made in the diagnosis and management of MS. Based on the comparison between the two disorders, key directions for studies that aim to improve diagnostic process in schizophrenia are formulated. All of them converge on the necessity to deconstruct the psychosis spectrum and adopt dimensional approaches with deep phenotyping to refine current diagnostic boundaries.

Individual differences in computational psychiatry: a review of current challenges

Bringing precision to the understanding and treatment of mental disorders requires instruments for studying clinically relevant individual differences. One promising approach is the development of computational assays: integrating computational models with cognitive tasks to infer latent patient-specific disease processes in brain computations. While recent years have seen many methodological advancements in computational modelling and many cross-sectional patient studies, much less attention has been paid to basic psychometric properties (reliability and construct validity) of the computational measures provided by the assays. In this review, we assess the extent of this issue by examining emerging empirical evidence. We find that many computational measures suffer from poor psychometric properties, which poses a risk of invalidating previous findings and undermining ongoing research efforts using computational assays to study individual (and even group) differences. We provide recommendations for how to address these problems and, crucially, embed them within a broader perspective on key developments that are needed for translating computational assays to clinical practice.

Associations of neurodevelopmental risk factors with psychosis proneness: Findings from a non-clinical sample of young adults

Psychotic disorders often develop as the continuum of subclinical symptoms that include hallucination-like and delusion-like experiences, and are commonly referred to as psychotic-like experiences (PLEs). To date, a number of neurodevelopmental risk factors of psychosis have been detected, yet their mutual interplay remains unknown. Therefore, we aimed to investigate the additive association of childhood trauma history, reading disabilities and symptoms of attention-deficit/hyperactivity disorder (ADHD) with psychosis proneness. A total of 3000 young adults (58.3% females, aged 18-35 years) with a negative history of psychiatric treatment were recruited to the cross-sectional study through computer-assisted web interview. Self-reports were administered to measure childhood trauma history, ADHD symptoms and reading disabilities. Linear regression analyses revealed significant main associations of childhood trauma history and reading disabilities with higher levels of PLEs. There were no significant main associations of ADHD with the level of PLEs. However, the associations of all possible interactions between neurodevelopmental risk factors with the level of PLEs were significant. Our findings suggest that childhood trauma history and reading disabilities may additively increase a risk of psychosis. The present findings bring new implications for early intervention strategies in psychosis and posit the rationale of recording the accumulation of neurodevelopmental vulnerabilities in clinical practice.

Uncovering psychiatric phenotypes using unsupervised machine learning: A data-driven symptoms approach

BACKGROUND

Current categorical classification systems of psychiatric diagnoses lead to heterogeneity of symptoms within disorders and common co-occurrence of disorders. We investigated the heterogeneous and overlapping nature of symptom endorsement in a population-based sample across three of the most common categories of psychiatric disorders: depressive disorders, anxiety disorders, and sleep-wake disorders using unsupervised machine learning approaches.

METHODS

We assessed a total of 43 symptoms in a discovery sample of 6,602 participants of the population-based Rotterdam Study between 2009 and 2013, and in a replication sample of 3,005 participants between 2016 and 2020. Symptoms were assessed using the Center for Epidemiologic Studies Depression Scale, the Hospital Anxiety and Depression Scale, and the Pittsburgh Sleep Quality Index. Hierarchical clustering analysis was applied on test items and participants to investigate common patterns of symptoms co-occurrence, and further quantitatively investigated with clustering methods to find groups that may represent similar psychiatric phenotypes.

RESULTS

First, clustering analyses of the questionnaire items suggested a three-cluster solution representing clusters of "mixed" symptoms, "depressed affect and nervousness", and "troubled sleep and interpersonal problems". A highly similar clustering solution was independently established in the replication sample. Second, four groups of participants could be separated, and these groups scored differently on the item clusters.

CONCLUSIONS

We identified three clusters of psychiatric symptoms that most commonly co-occur in a population-based sample. These symptoms clustered stable over samples, but across the topics of depression, anxiety, and poor sleep. We identified four groups of participants that share (sub)clinical symptoms and might benefit from similar prevention or treatment strategies, despite potentially diverging, or lack of, diagnoses.

Inter-Rater Reliability between Structured and Non-Structured Interviews Is Fair in Schizophrenia and Bipolar Disorders-A Systematic Review and Meta-Analysis

We aimed to find agreement between diagnoses obtained through standardized (SDI) and non-standardized diagnostic interviews (NSDI) for schizophrenia and Bipolar Affective Disorder (BD).

METHODS

A systematic review with meta-analysis was conducted. Publications from 2007 to 2020 comparing SDI and NSDI diagnoses in adults without neurological disorders were screened in MEDLINE, ISI Web of Science, and SCOPUS, following PROSPERO registration CRD42020187157, PRISMA guidelines, and quality assessment using QUADAS-2.

RESULTS

From 54231 entries, 22 studies were analyzed, and 13 were included in the final meta-analysis of kappa agreement using a mixed-effects meta-regression model. A mean kappa of 0.41 (Fair agreement, 95% CI: 0.34 to 0.47) but high heterogeneity (β = 92%) were calculated. Gender, mean age, NSDI setting (Inpatient vs. Outpatient; University vs. Non-university), and SDI informant (Self vs. Professional) were tested as predictors in meta-regression. Only SDI informant was relevant for the explanatory model, leaving 79% unexplained heterogeneity. Egger's test did not indicate significant bias, and QUADAS-2 resulted in "average" data quality.

CONCLUSIONS

Most studies using SDIs do not report the original sample size, only the SDI-diagnosed patients. Kappa comparison resulted in high heterogeneity, which may reflect the influence of non-systematic bias in diagnostic processes. Although results were highly heterogeneous, we measured a fair agreement kappa between SDI and NSDI, implying clinicians might operate in scenarios not equivalent to psychiatry trials, where samples are filtered, and there may be more emphasis on maintaining reliability. The present study received no funding.

Introducing a depression-like syndrome for translational neuropsychiatry: a plea for taxonomical validity and improved comparability between humans and mice

Depressive disorders are the most burdensome psychiatric disorders worldwide. Although huge efforts have been made to advance treatment, outcomes remain unsatisfactory. Many factors contribute to this gridlock including suboptimal animal models. Especially limited study comparability and replicability due to imprecise terminology concerning depressive-like states are major problems. To overcome these issues, new approaches are needed. Here, we introduce a taxonomical concept for modelling depression in laboratory mice, which we call depression-like syndrome (DLS). It hinges on growing evidence suggesting that mice possess advanced socioemotional abilities and can display non-random symptom patterns indicative of an evolutionary conserved disorder-like phenotype. The DLS approach uses a combined heuristic method based on clinical depression criteria and the Research Domain Criteria to provide a biobehavioural reference syndrome for preclinical rodent models of depression. The DLS criteria are based on available, species-specific evidence and are as follows: (I) minimum duration of phenotype, (II) significant sociofunctional impairment, (III) core biological features, (IV) necessary depressive-like symptoms. To assess DLS presence and severity, we have designed an algorithm to ensure statistical and biological relevance of findings. The algorithm uses a minimum combined threshold for statistical significance and effect size (p value ≤ 0.05 plus moderate effect size) for each DLS criterion. Taken together, the DLS is a novel, biologically founded, and species-specific minimum threshold approach. Its long-term objective is to gradually develop into an inter-model validation standard and microframework to improve phenotyping methodology in translational research.

Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness

The World Health Organization’s 11^th revision of the International Classification of Diseases (ICD-11) including the chapter on mental disorders has come into effect this year. This review focuses on the “Bipolar or Related Disorders” section of the ICD-11 draft. It describes the benchmarks for the new version, particularly the foremost principle of clinical utility. The alterations made to the diagnosis of bipolar disorder (BD) are evaluated on their scientific basis and clinical utility. The change in the diagnostic requirements for manic and hypomanic episodes has been much debated. Whether the current criteria have achieved an optimum balance between sensitivity and specificity is still not clear. The ICD-11 definition of depressive episodes is substantially different, but the lack of empirical support for the changes has meant that the reliability and utility of bipolar depression are relatively low. Unlike the Diagnostic and Statistical Manual of Mental Disorders, 5^th edition (DSM-5), the ICD-11 has retained the category of mixed episodes. Although the concept of mixed episodes in the ICD-11 is not perfect, it appears to be more inclusive than the DSM-5 approach. Additionally, there are some uncertainties about the guidelines for the subtypes of BD and cyclothymic disorder. The initial results on the reliability and clinical utility of BD are promising, but the newly created diagnostic categories also appear to have some limitations. Although further improvement and research are needed, the focus should now be on facing the challenges of implementation, dissemination, and education and training in the use of these guidelines.

Disorders Specifically Associated With Stress in ICD-11

Background

After almost three decades of ICD-10 use for diagnostic purposes, the World Health Organization has conducted a systematic and elaborate evaluation to revise the classification of mental disorders in this system. This revision resulted in the 11th version (ICD-11), introduced in 2022. As one new feature, the ICD-11 forms a new grouping of mental disorders specifically associated with stress.

Method

The current review presents an overview of the diagnostic features and cultural specifications of disorders specifically associated with stress. This grouping includes posttraumatic stress disorder and complex posttraumatic stress disorder, prolonged grief disorder, adjustment disorder, as well as two diagnoses for children, reactive attachment disorder and disinhibited social engagement disorder.

Results

Overall, there is evidence for the improved clinical utility and applicability of these disorders. The disorders have been defined in a parsimonious way by few features, but they suffice for scientific purposes as well.

Conclusion

However, more research is needed to evaluate assessments for the diagnoses and diagnostic features in the ICD-11.

The predictive validity and outcome of ICD-10 and DSM-5 short-lived psychotic disorders: a review and meta-analysis

The ICD-10 Classification of Mental and Behavioural Disorders introduced the category of 'acute and transient psychotic disorders' (ATPDs) encompassing polymorphic, schizophrenic and predominantly delusional subtypes, and the forthcoming ICD-11 revision has restricted it to polymorphic psychotic disorder, while the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) listed 'brief psychotic disorder' (BPD). To assess the predictive validity and outcome of ATPDs and BPD, relevant papers in English, French and German were searched in PubMed and Web of Science. Where possible meta-analysis of prognostic validators (diagnostic stability, course, outcome and response to treatment) was conducted. Fifty studies published between January 1993 and July 2019 were found. The clinical and functional outcome of ATPDs proved better than in schizophrenia and related disorders, but mortality risk is high, particularly suicide, and treatment trials provide little evidence. Meta-analysis of 25 studies (13,507 cases) revealed that 55% (95% CI 49-62) do not change diagnosis, 25% (95% CI 20-31) converted into schizophrenia and related disorders, and 12% (95% CI 7-16) into affective disorders on average over 6.3 years. Subgroup meta-analysis estimated prospective consistency of polymorphic psychotic disorder (55%; 95% CI 52-58) significantly greater than that of the ATPD subtypes with schizophrenic (OR 1.7; 95% CI 1.4-2.0) and predominantly delusional (OR 1.3; 95% CI 1.1-1.5) symptoms. Moreover, the diagnostic stability of BPD (13 studies; 294 cases) was 45% (95% CI 32-50) over a mean 4.2 years. Although these findings indicate that short-lived psychotic disorders have little predictive validity, significant differences among the ATPD subtypes support the revised ICD-11 ATPD category.

Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning

BACKGROUND

Machine learning applications using neuroimaging provide a multidimensional, data-driven approach that captures the level of complexity necessary for objectively aiding diagnosis and prognosis in psychiatry. However, models learned from small training samples often have limited generalizability, which continues to be a problem with automated diagnosis of mental illnesses such as obsessive-compulsive disorder (OCD). Earlier studies have shown that features incorporating prior neurobiological knowledge of brain function and combining brain parcellations from various sources can potentially improve the overall prediction. However, it is unknown whether such knowledge-driven methods can provide a performance that is comparable to state-of-the-art approaches based on neural networks.

METHODS

In this study, we apply a transparent and explainable multiparcellation ensemble learning framework EMPaSchiz (Ensemble algorithm with Multiple Parcellations for Schizophrenia prediction) to the task of predicting OCD, based on a resting-state functional magnetic resonance imaging dataset of 350 subjects. Furthermore, we apply transfer learning using the features found effective for schizophrenia to OCD to leverage the commonality in brain alterations across these psychiatric diagnoses.

RESULTS

We show that our knowledge-based approach leads to a prediction performance of 80.3% accuracy for OCD diagnosis that is better than domain-agnostic and automated feature design using neural networks. Furthermore, we show that a selection of reduced feature sets can be transferred from schizophrenia to the OCD prediction model without significant loss in prediction performance.

CONCLUSIONS

This study presents a machine learning framework for OCD prediction with neurobiology-aided feature design using resting-state functional magnetic resonance imaging that is generalizable and reasonably interpretable.

ICD-11 Guidelines for Mental and Behavioral Disorders of Children and Adolescents: Reliability and Clinical Utility

OBJECTIVE

ICD-11 clinical guidelines for mental and behavioral disorders must be tested in clinical settings to guarantee their usefulness worldwide. The purpose of this study was to evaluate interrater reliability and clinical utility of the ICD-11 guidelines for children and adolescents in assessing and diagnosing mood, anxiety, and fear-related disorders; attention-deficit hyperactivity disorder (ADHD); and disruptive behavioral disorder (DBD).

METHODS

Children and adolescents ages 6-17 from two specialized settings in Mexico City were interviewed. Each was interviewed by a pair of psychiatrists (interviewer and observer), who independently codified established diagnoses and evaluated the clinical utility of the guidelines with each participant. Kappa values were calculated to determine the level of general diagnostic correlation between the two clinicians.

RESULTS

A total of 25 psychiatrists evaluated 52 children and adolescents. Kappa values between clinicians ranged from 0.46 to 0.53 for mood, anxiety, and fear-related disorders and for ADHD; the kappa value was 0.81 for DBD guidelines. Over 80% of psychiatrists reported that the guidelines, qualifiers, and descriptions of developmental presentations were quite useful.

CONCLUSIONS

ICD-11 guidelines for mental and behavioral disorders of children and adolescents demonstrated mostly moderate interrater reliability and strong interrater reliability in the case of DBD. A large proportion of clinicians regarded the guidelines as quite useful clinical tools.

Reliability and clinical utility of the chronic pain classification in the 11th Revision of the International Classification of Diseases from a global perspective: results from India, Cuba, and New Zealand

ABSTRACT

Chronic pain affects 1 in 5 persons and contributes substantially to the global burden of disease. The 11th Revision of the International Classification of Diseases (ICD-11) includes a comprehensive classification of chronic pain. The aim of this ecological implementation field study was to evaluate the classification's interrater reliability and clinical utility in countries with different income levels. The study was conducted in 4 pain clinics in Cuba, India, and New Zealand. Twenty-one clinicians used the ICD-11 to diagnose and code n = 353 patients with chronic pain. Of these, 111 were assessed by 2 clinicians, and Fleiss' kappa was calculated to establish interrater reliability for any diagnosis assigned to ≥15 patients. The clinicians rated the clinical utility of all diagnoses. The interrater reliability could be calculated for 11 diagnoses. It was substantial for 10 diagnoses and moderate for 1 (kappa: 0.596-0.783). The mean clinical utility of the ICD-11 chronic pain diagnoses was rated as 8.45 ± 1.69/10. Clinical utility was rated higher for ICD-11 than for the commonly used classification systems (P < 0.001, η2 = 0.25) and differed between all centers (P < 0.001, η2 = 0.60). The utility of the ICD-11 diagnoses was rated higher than the commonly used diagnoses in Dunedin and Havana, and no difference was found in Kolkata and Hyderabad. The study showed the high interrater reliability of the new chronic pain diagnoses. The perceived clinical utility of the diagnoses indicates their superiority or equality compared with the classification systems currently used in pain clinics. These results suggest the global applicability of the classification in specialized pain treatment settings.

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.

Exploring Mental Health Professionals' Experiences of Intimate Partner Violence-Related Training: Results From a Global Survey

Intimate partner violence (IPV) is a global public health problem that has been shown to lead to serious mental health consequences. Due to its frequent co-occurrence with psychiatric disorders, it is important to assess for IPV in mental health settings to improve treatment planning and referral. However, lack of training in how to identify and respond to IPV has been identified as a barrier for the assessment of IPV. The present study seeks to better understand this IPV-related training gap by assessing global mental health professionals' experiences of IPV-related training and factors that contribute to their likelihood of receiving training. Participants were French-, Spanish-, and Japanese-speaking psychologists and psychiatrists (N = 321) from 24 nations differing on variables related to IPV, including IPV prevalence, IPV-related norms, and IPV-related laws. Participants responded to an online survey asking them to describe their experiences of IPV-related training (i.e., components and hours of training) and were asked to rate the frequency with which they encountered IPV in clinical practice and their level of knowledge and experience related to relationship problems; 53.1% of participants indicated that they had received IPV-related training. Clinicians from countries with relatively better implemented laws addressing IPV and those who encountered IPV more often in their regular practice were more likely to have received training. Participants who had received IPV-related training, relative to those without training, were more likely to report greater knowledge and experience related to relationship problems. Findings suggest that clinicians' awareness of IPV and the institutional context in which they practice are related to training. Training, in turn, is associated with subjective appraisals of knowledge and experience related to relationship problems. Increasing institutional efforts to address IPV (e.g., implementing IPV legislation) may contribute to improved practices with regard to IPV in mental health settings.

Diagnosis, prognosis, and treatment of brief psychotic episodes: a review and research agenda

Brief psychotic episodes represent an intriguing paradox in clinical psychiatry because they elude the standard knowledge that applies to the persisting psychotic disorders such as schizophrenia. This Review describes key diagnostic considerations such as conceptual foundations, current psychiatric classification versus research-based operationalisations, epidemiology, and sociocultural variations; prognostic aspects including the risk of psychosis recurrence, types of psychotic recurrences, other clinical outcomes, prognostic factors; and therapeutic issues such as treatment guidelines and unmet need of care. The advances and challenges associated with the scientific evidence are used to set a research agenda in this area. We conclude that brief psychotic episodes can be reconceptualised within a clinical staging model to promote innovative translational research and improve our understanding and treatment of psychotic disorders.

The latent structure of ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD in a general population sample from USA: A factor mixture modelling approach

The validity of ICD-11 Posttraumatic Stress Disorder (PTSD) and Complex PTSD (CPTSD), as measured by the International Trauma Questionnaire (ITQ; Cloitre et al., 2018) has been supported in many factor analytic and mixture modelling studies. There is, however, a paucity of research investigating the latent structure of the ITQ using factor mixture modelling (FMM). FMM was applied to data collected from a nationally representative sample of U.S. adults (N = 1834). FMM results demonstrated strong support for a two-factor second-order model with four qualitatively distinct latent classes: a 'PTSD class', a 'CPTSD class', a 'DSO' (Disturbances in Self-Organisation) class and a 'low symptoms class'. Sexual abuse increased likelihood of membership to the 'CPTSD' (OR = 3.22) and physical abuse decreased likelihood of membership to the 'PTSD' (OR=0.51). Trauma exposure in adulthood predicted 'PTSD' and 'CPTSD' class membership. The 'CPTSD class' was characterised by higher levels of psychopathological co-morbidities and poorer psychological wellbeing compared to all other classes. Results provide additional support for the validity of PTSD and CPTSD as measured by the ITQ.

Validity, reliability and clinical utility of mental disorders: The case of ICD-11 schizophrenia

Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values ​​of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.

A global field study of the international classification of diseases (ICD-11) mood disorders clinical descriptions and diagnostic guidelines

BACKGROUND

We report results of an internet-based field study evaluating the diagnostic guidelines for ICD-11 mood disorders. Accuracy of clinicians' diagnostic judgments applying draft ICD-11 as compared to the ICD-10 guidelines to standardized case vignettes was assessed as well as perceived clinical utility.

METHODS

1357 clinician members of the World Health Organization's Global Clinical Practice Network completed the study in English, Spanish, Japanese or Russian. Participants were randomly assigned to apply ICD-11 or ICD-10 guidelines to one of eleven pairs of case vignettes.

RESULTS

Clinicians using the ICD-11 and ICD-10 guidelines achieved similar levels of accuracy in diagnosing mood disorders depicted in vignettes. Those using the ICD-11 were more accurate in identifying depressive episode in recurrent depressive disorder. There were no statistically significant differences detected across classifications in the accuracy of identifying dysthymic or cyclothymic disorder. Circumscribed problems with the proposed ICD-11 guidelines were identified including difficulties differentiating bipolar type I from bipolar type II disorder and applying revised severity ratings to depressive episodes. Clinical utility of ICD-11 bipolar disorders was found to be significantly lower than for ICD-10 equivalent categories.

LIMITATIONS

Standardized case vignettes were manipulated to evaluate specific changes. The degree of accuracy of clinicians' diagnostic judgments may not reflect clinical decision-making with patients.

CONCLUSIONS

Alignment of the ICD-11 with current research appears to have been achieved without sacrificing diagnostic accuracy or clinical utility though specific training may be necessary as ICD-11 is implemented worldwide. Areas in which the ICD-11 guidelines did not perform as intended resulted in further revisions.

Testing the efficacy of group cognitive-behavioral therapy for pathological internet use among undergraduates in Nigeria

INTRODUCTION

The aim of this study was to examine the effect of group cognitive-behavioral therapy (GCBT) on pathological internet use (PIU).

METHOD

The study applied a group randomized controlled trial design to assign participants to intervention and control groups. A total of 40 college students aged 18 to 30 who were pathological internet users (PIUs) participated in this study and were randomly assigned to treatment and control groups. Participants completed a self-report scale entitled the Problematic Internet Use Scale (PIUS) at three time points. The intervention lasted 8 weeks. The data collected were statistically analyzed using repeated-measures analysis of variance (ANOVA).

RESULTS

The results showed that GCBT has significant efficacy, decreasing the symptoms of PIU among the GCBT participants compared to those in the control group and that the improvements were maintained at follow-up. We also found a significant interaction effect by time for PIU.

CONCLUSION

From the study findings, we can conclude that GCBT has significant benefit for mitigating the severity of PIU in college students. Therefore, mental health professionals are encouraged to explore the benefits of GCBT in treating symptoms associated with PIU in school settings and beyond.

Clinical outcomes in brief psychotic episodes: a systematic review and meta-analysis

AIMS

Patients with brief psychotic episodes (BPE) have variable and fluctuating clinical outcomes which challenge psychiatric care. Our meta-analysis aims at providing a comprehensive summary of several clinical outcomes in this patient group.

METHODS

A multistep systematic PRISMA/MOOSE-compliant literature search was performed for articles published from inception until 1st March 2021. Web of Science database was searched, complemented by manual search of original articles reporting relevant outcomes (psychotic recurrence, prospective diagnostic change or stability, remission, quality of life, functional status, mortality and their predictors) for patients diagnosed with acute and transient psychotic disorders (ATPD), brief psychotic disorders (BPD), brief intermittent psychotic symptoms (BIPS) and brief limited intermittent psychotic symptoms (BLIPS). Random-effects methods and Q-statistics were employed, quality assessment with Newcastle-Ottawa Scale, assessment of heterogeneity with I2 index, sensitivity analyses (acute polymorphic psychotic disorders, APPD) and multiple meta-regressions, assessment of publication bias with funnel plot, Egger's test and meta-regression (psychotic recurrence and sample size).

RESULTS

A total of 91 independent articles (n = 94 samples) encompassed 37 ATPD, 24 BPD, 19 BLIPS and 14 BIPS samples, totalling 15 729 individuals (mean age: 30.89 ± 7.33 years, mean female ratio: 60%, 59% conducted in Europe). Meta-analytical risk of psychotic recurrence for all BPE increased from 15% (95% confidence interval (CI) 12-18) at 6 months, 25% (95% CI 22-30) at 12 months, 30% (95% CI 27-33) at 24 months and 33% (95% CI 30-37) at ⩾36 months follow-up, with no differences between ATPD, BPD, BLIPS and BIPS after 2 years of follow-up. Across all BPE, meta-analytical proportion of prospective diagnostic stability (average follow-up 47 months) was 49% (95% CI 42-56); meta-analytical proportion of diagnostic change (average follow-up 47 months) to schizophrenia spectrum psychoses was 19% (95% CI 16-23), affective spectrum psychoses 5% (95% CI 3-7), other psychotic disorders 7% (95% CI 5-9) and other (non-psychotic) mental disorders 14% (95% CI 11-17). Prospective diagnostic change within APPD without symptoms of schizophrenia was 34% (95% CI 24-46) at a mean follow-up of 51 months: 18% (95% CI 11-30) for schizophrenia spectrum psychoses and 17% (95% CI 10-26) for other (non-psychotic) mental disorders. Meta-analytical proportion of baseline employment was 48% (95% CI 38-58), whereas there were not enough data to explore the other outcomes. Heterogeneity was high; female ratio and study quality were negatively and positively associated with risk of psychotic recurrence, respectively. There were no consistent factor predicting clinical outcomes.

CONCLUSIONS

Short-lived psychotic episodes are associated with a high risk of psychotic recurrences, in particular schizophrenia spectrum disorders. Other clinical outcomes remain relatively underinvestigated. There are no consistent prognostic/predictive factors.

Changes from ICD-10 to ICD-11 and future directions in psychiatric classification

This article provides a brief overview of the changes from ICD-10 to ICD-11 regarding the classification of mental, behavioral, or neurodevelopmental disorders. These changes include a new chapter structure, new diagnostic categories, changes in diagnostic criteria, and steps towards dimensionality. Additionally, we review evaluative field studies of ICD-11, which provide preliminary evidence for higher reliability and clinical utility of ICD-11 compared with ICD-10. Despite the extensive revision process, changes from ICD-10 to ICD-11 were relatively modest in that both systems are categorical, classifying mental phenomena based on self-reported or clinically observable symptoms. Other recent approaches to psychiatric nosology and classification (eg, neurobiology-based or hierarchical) are discussed. To meet the needs of different user groups, we propose expanding the stepwise approach to diagnosis introduced for some diagnostic categories in ICD-11, which includes categorical and dimensional elements.


Preventive psychiatry: a blueprint for improving the mental health of young people

Preventive approaches have latterly gained traction for improving mental health in young people. In this paper, we first appraise the conceptual foundations of preventive psychiatry, encompassing the public health, Gordon's, US Institute of Medicine, World Health Organization, and good mental health frameworks, and neurodevelopmentally-sensitive clinical staging models. We then review the evidence supporting primary prevention of psychotic, bipolar and common mental disorders and promotion of good mental health as potential transformative strategies to reduce the incidence of these disorders in young people. Within indicated approaches, the clinical high-risk for psychosis paradigm has received the most empirical validation, while clinical high-risk states for bipolar and common mental disorders are increasingly becoming a focus of attention. Selective approaches have mostly targeted familial vulnerability and non-genetic risk exposures. Selective screening and psychological/psychoeducational interventions in vulnerable subgroups may improve anxiety/depressive symptoms, but their efficacy in reducing the incidence of psychotic/bipolar/common mental disorders is unproven. Selective physical exercise may reduce the incidence of anxiety disorders. Universal psychological/psychoeducational interventions may improve anxiety symptoms but not prevent depressive/anxiety disorders, while universal physical exercise may reduce the incidence of anxiety disorders. Universal public health approaches targeting school climate or social determinants (demographic, economic, neighbourhood, environmental, social/cultural) of mental disorders hold the greatest potential for reducing the risk profile of the population as a whole. The approach to promotion of good mental health is currently fragmented. We leverage the knowledge gained from the review to develop a blueprint for future research and practice of preventive psychiatry in young people: integrating universal and targeted frameworks; advancing multivariable, transdiagnostic, multi-endpoint epidemiological knowledge; synergically preventing common and infrequent mental disorders; preventing physical and mental health burden together; implementing stratified/personalized prognosis; establishing evidence-based preventive interventions; developing an ethical framework, improving prevention through education/training; consolidating the cost-effectiveness of preventive psychiatry; and decreasing inequalities. These goals can only be achieved through an urgent individual, societal, and global level response, which promotes a vigorous collaboration across scientific, health care, societal and governmental sectors for implementing preventive psychiatry, as much is at stake for young people with or at risk for emerging mental disorders.

Engagement of Russian Mental Health Professionals in the Development of WHO’s ICD-11

The World Health Organization (WHO) has officially approved the next version of its global diagnostic system, the International Classification of Diseases and Related Health Problems, Eleventh Revision (ICD-11). Processes to implement the ICD-11 are now underway. Developing the ICD-11 chapter on Mental, Behavioural and Neurodevelopmental Disorders, in line with WHOs core priorities to enhance the clinical utility, reliability, and global applicability of the guidelines, necessitated a large-scale scientifically-rigorous research program. Such a program of global field studies engaged mental health professionals from across the world, with substantial contributions from clinicians in the Russian Federation. This paper systematically highlights the substantive roles played by Russian clinicians in all steps of development of the mental, behavioural, and neurodevelopmental disorder guidelines, including their participation in the following: 1) early formative field studies that informed the organizing principles and overarching structure of the ICD-11; 2) large-scale online studies that used a case-controlled methodology to evaluate the guidelines clinical utility and the accuracy with which the new ICD-11 guidelines could be applied by global clinicians; 3) an online network of mental health professionals who provided direct feedback on the ICD-11 to WHO (also known as the Global Clinical Practice Network, www.globalclinicalpractice.net) with over 16,000 members from 160 countries, and with the Russian Federation being in the top five most represented countries in the network; 4) clinic-based field studies that tested the reliability and clinical utility of the ICD-11 diagnostic guidelines; and 5) development and participation in training programs that prepare clinicians in implementing the diagnostic guidelines in clinical settings. In these many ways, Russian clinicians have substantively and directly contributed to efforts to maximize the clinical usefulness, consistency, acceptability, and applicability of the ICD-11s mental, behavioural, and neurodevelopmental disorder guidelines. This substantial engagement of clinicians will conceivably facilitate the adoption and use of the guidelines by clinicians in the Russian Federation and other Russian-speaking countries, as the ICD-11 is implemented over the coming years.

Examination of the new ICD-11 prolonged grief disorder guidelines across five international samples

Background

Prolonged grief disorder (PGD) is a new disorder included in the 11th edition of the International classification of diseases (ICD-11). An important remit of the new ICD-11 is the global applicability of the mental health disorder guidelines or definitions. Although previous definitions and descriptions of disordered grief have been assessed worldwide, this new definition has not yet been systematically validated.

Method

Here we assess the validity and applicability of core items of the ICD-11 PGD across five international samples of bereaved persons from Switzerland (N = 214), China (N = 325); Israel (N = 544), Portugal (N = 218) and Ireland (N = 830).

Results

The results confirm that variation in the diagnostic algorithm for PGD can greatly impact the rates of disorder within and between international samples. Different predictors of PGD severity may be related to sample differences. Finally, a threshold for diagnosis of clinically relevant PGD symptoms using a new scale, the International Prolonged Grief Disorder Scale (IPGDS), in three samples was confirmed.

Conclusions

Although this study was limited by lack of questionnaire data points across all five samples, the findings for the diagnostic threshold and algorithm iterations have implications for clinical use of the new ICD-11 PGD criteria worldwide.

The first study to explore core items of the ICD-11 PGD definition in five large international samples

Comparison of three different diagnostic algorithms

Preliminary analysis of different thresholds for diagnosis in different groups

Preliminary estimates of PGD prevalence

Development of the new CPTSD diagnosis for ICD-11

BACKGROUND

The diagnosis of complex post-traumatic stress disorder (CPTSD) was proposed several decades ago by scientist-practitioners, almost parallel to the first description of the diagnosis of post-traumatic stress disorder (PTSD). In the previous International Classification of Diseases, version 10 (ICD-10) issued by the World Health Organization (WHO), this symptom constellation was termed 'enduring personality change after catastrophic experience'. This diagnosis has not been clinically influential, nor has it been subjected to much research. Thus, in a multi-stage process of ICD-11 development, the diagnosis of CPTSD was developed.

METHODS

This paper provides a review of the historical lines of development that led to the CPTSD diagnosis, as well as the results since the ICD-11 publication in 2018.

RESULTS

The CPTSD diagnosis comprises the core symptoms of the - newly, narrowly defined - PTSD diagnosis, the three symptom groups of affective, relationship, and self-concept changes. The diagnosis is clinically easy to use in accordance with the WHO development goals for the ICD-11 and has shown good psychodiagnostic properties in various studies, including good discrimination from personality disorder with borderline pattern.

CONCLUSION

The scholarly use of the new diagnosis has resulted in an increasing number of published studies on this topic in the diagnostic and therapeutic fields.

The state of psychiatric research in the Asia Pacific region

INTRODUCTION

This study aims to review recent scientific publications and research output in the field of psychiatry, from a series of countries in the Asia-Pacific region (Australia, India, Indonesia, Iran, Lebanon, Malaysia, and Nepal), with a view to identify themes and similarities across regions, as well as to examine the barriers and challenges in mental health research faced by countries in the region.

METHODS

Seven psychiatrists from seven countries reviewed recent published and ongoing research in psychiatry in their respective nations, with respect to themes, as well as any barriers or challenges faced by mental health researchers.

RESULTS

While the seven nations included in this review vary in terms of research capabilities and economic development level, they share many similarities both in terms of research direction, and with regards to challenges faced. Limitations in the form of sociocultural differences from the West, and a lack of funding were some of the barriers identified.

DISCUSSION

Mental health research in the region has been progressing well. However, more varied research in the form of qualitative or economic studies are lacking, as are multi-center studies. The similar issues that nations face with regards to research could perhaps benefit from collaborative efforts and initiatives for the furtherance of research in the region.

Reliability and Clinical Utility of Gender Identity-Related Diagnoses: Comparisons Between the ICD-11, ICD-10, DSM-IV, and DSM-5

Purpose: The World Health Organization general assembly approved the 11th revision of the International Classification of Diseases (ICD) in 2019 which will be implemented in 2022. Gender identity-related diagnoses were substantially reconceptualized and removed from the mental health chapter so that the distress criterion is no longer a prerequisite. The present study examined reliability and clinical utility of gender identity-related diagnoses of the ICD-11 in comparison with the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5, ICD-10, and DSM-IV. Methods: Sixty-four health care providers assessed six videos of two children, two adolescents, and two adults referred for gender incongruence. Each provider rated one pair of videos with three of the four classification systems (ICD-11, DSM-5, ICD-10, and DSM-IV-TR). This resulted in 72 ratings for the adolescent and adult diagnoses and 59 ratings for the children's diagnoses. Results: Interrater agreement rates for each instrument ranged from 65% to 79% for the adolescence/adulthood diagnoses and from 67% to 94% for the childhood diagnoses and were comparable regardless of the system used. Only agreement rates for ICD-11 were significantly better than those for DSM-5 for both age categories. Clinicians evaluated all four systems as convenient and easy to use. Conclusion: In conclusion, both classification systems (DSM and ICD) and both editions (DSM-IV and DSM-5 and ICD-10 and ICD-11) of gender identity-related diagnoses seem reliable and convenient for clinical use.

An organization- and category-level comparison of diagnostic requirements for mental disorders in ICD-11 and DSM-5

In 2013, the American Psychiatric Association (APA) published the 5th edition of its Diagnostic and Statistical Manual of Mental Disorders (DSM-5). In 2019, the World Health Assembly approved the 11th revision of the International Classification of Diseases (ICD-11). It has often been suggested that the field would benefit from a single, unified classification of mental disorders, although the priorities and constituencies of the two sponsoring organizations are quite different. During the development of the ICD-11 and DSM-5, the World Health Organization (WHO) and the APA made efforts toward harmonizing the two systems, including the appointment of an ICD-DSM Harmonization Group. This paper evaluates the success of these harmonization efforts and provides a guide for practitioners, researchers and policy makers describing the differences between the two systems at both the organizational and the disorder level. The organization of the two classifications of mental disorders is substantially similar. There are nineteen ICD-11 disorder categories that do not appear in DSM-5, and seven DSM-5 disorder categories that do not appear in the ICD-11. We compared the Essential Features section of the ICD-11 Clinical Descriptions and Diagnostic Guidelines (CDDG) with the DSM-5 criteria sets for 103 diagnostic entities that appear in both systems. We rated 20 disorders (19.4%) as having major differences, 42 disorders (40.8%) as having minor definitional differences, 10 disorders (9.7%) as having minor differences due to greater degree of specification in DSM-5, and 31 disorders (30.1%) as essentially identical. Detailed descriptions of the major differences and some of the most important minor differences, with their rationale and related evidence, are provided. The ICD and DSM are now closer than at any time since the ICD-8 and DSM-II. Differences are largely based on the differing priorities and uses of the two diagnostic systems and on differing interpretations of the evidence. Substantively divergent approaches allow for empirical comparisons of validity and utility and can contribute to advances in the field.

The Clinical Consistency and Utility of ICD-11 Diagnostic Guidelines for Gaming Disorder: A Field Study Among the Chinese Population

Purpose: As a new category proposed in the International Classification of Diseases (11th Revision) (ICD-11), the reliability and clinical utility of ICD diagnostic guidelines for gaming disorder (GD) in the Chinese population have not been studied. The purpose of this field study is to clarify the reliability, clinical utility, and cultural applicability of ICD diagnostic guidelines for GD in China and its comparability with Internet GD (IGD) in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5). Methods: Participants included 21 paired clinical raters consisting of seven psychiatrists and 200 gaming players aged from 15 to 18 years with different risk levels of Internet addiction based on the scores of Young's Internet Addiction Test. Each participant received a semi-structured face-to-face interview by paired clinical raters at the same time. Then clinical raters made the diagnosis and filled the clinical utility questionnaire independently according to the diagnostic guidelines for GD in both ICD-11 and DSM-5. Results: The diagnostic consistency coefficient (kappa value) between the paired clinical raters was 0.545 (0.490-0.600, p < 0.001) and 0.622 (0.553-0.691, p < 0.001) for ICD-11 and DSM-5 diagnostic guidelines, respectively, for GD. The diagnostic consistency was 0.847 (0.814-0.880, p < 0.001) between GD in ICD-11 and IGD in DSM-5. Meanwhile, 86.7% of responses that agreed with the ICD-11 diagnostic guidelines for GD provided enough detailed implementation characteristics and showed good overall clinical applicability (86.0%), specificity (94.4%), usefulness (84.1%), and acceptable cultural adaptation (74.8%). GD in ICD-11 was slightly more accepted than IGD in DSM-5 (p < 0.001), while the clinical efficiency of ICD-11 was inferior to that of DSM-5 (p < 0.001). Conclusion: This study indicates that the ICD-11 diagnostic guidelines for GD have acceptable clinical reliability and high consistency with IGD in DSM-5. Their clinical applicability and cultural adaption are comparable with those of DSM-5. Although the guidelines still need to be adjusted for better implementation in China, this is already a great step committed to reducing the serious consequences caused by excessive gaming behaviors through effective identification and normative diagnosis, especially for adolescents.

Complex PTSD: what is the clinical utility of the diagnosis?

BACKGROUND

The diagnosis of complex posttraumatic stress disorder (CPTSD) was included in the 11th revised edition of the International Classification of Diseases (ICD-11). CPTSD shares trauma-specific symptoms with its sibling disorder PTSD but is additionally characterized by disturbances of the individual's self-organization (DSO). The clinical utility of the CPTSD diagnosis has yet to be thoroughly investigated.

OBJECTIVE

The current study aimed to examine the clinical utility of the CPTSD diagnosis, considering the upcoming implementation of ICD-11 in clinical practice.

METHOD

International field studies, construct- and validity analyses leading up to the inclusion in ICD-11 are reviewed, and the diagnostic measures; International Trauma Questionnaire (ITQ) and International Trauma Interview (ITI) are presented. Also, the relationship between CPTSD and borderline personality disorder (BPD) is elaborated in an independent analysis, to clarify their differences in clinical relevance to treatment. Treatment implications for CPTSD are discussed with reference to existing guidelines and clinical needs.

RESULTS

The validation of ITQ and ITI contributes to the cementation of CPTSD in further clinical practice, providing qualified assessment of the construct, with intended informative value for both clinical communication and facilitation of treatment. CPTSD is found distinguishable from both PTSD and BPD in empirical studies, while the possibility of comorbid BPD/PTSD cases being better described as CPTSD is acknowledged. Practitioners need to employ well-established methods developed for PTSD, while considering additional DSO-symptoms in treatment of CPTSD.

CONCLUSIONS

The inclusion of CPTSD in ICD-11 may potentially facilitate access to more tailored treatment interventions, as well as contribute to increased research focus on disorders specifically associated with stress. The clinical utility value of this additional diagnosis is expected to reveal itself further after ICD-11 is implemented in clinical practice in 2022 and onwards. Yet, CPTSD's diagnostic inclusion gives future optimism to assessing and treating complex posttraumatic stress symptoms.

[Psychotic disorders in ICD-11: the revisions]

Psychotic disorders in ICD-11: the revisions Abstract. This article provides an overview of the main changes to the chapter "Schizophrenia or Other Primary Psychotic Disorders" (6A2) from ICD-10 to ICD-11 and compares them with the psychosis chapter of DSM-5. These changes include abandoning the classical subtypes of Schizophrenia as well as of the special significance of Schneider's first-rank symptoms, resulting in the general requirement of two key features (one must be a positive symptom) in the definition of "Schizophrenia" (6A20) and the allowance for bizarre contents in "Delusional Disorder" (6A24), which now includes "Induced Delusional Disorder" (F24). Further introduced are the focus on the current episode, the restriction of "Acute and Transient Psychotic Disorder" (6A23) to the former Polymorphic Disorder Without Schizophrenic Symptoms (F23.0), the diagnosis of delusional "Obsessive-Compulsive or Related Disorders" (6B2) exclusively as Obsessive-Compulsive Disorders, the specification of "Schizoaffective Disorder" (6A21), and the formulation of a distinct subchapter "Catatonia" (6A4) for the assessment of catatonic features in the context of several disorders. In analogy to DSM-5, ICD-11 now includes the optional category "Symptomatic Manifestations of Primary Psychotic Disorders" (6A25) for the dimensional quantification of symptoms. Again, developmental aspects remain unattended in in the ICD-11-definitions of psychotic disorders.

The revision of the categories of mood, anxiety and stress-related disorders in the ICD-11: a perspective from the Arab region

Background

The World Health Organization estimates that 75% of patients with mental and substance use disorders in low- and middle-income countries do not have access to the care needed. In the Arab World, approximately 100–140 million people suffer from at least one psychiatric disorder. One main criticism of classification systems has been their lack of cultural sensitivity. The International Classification of Diseases, 11th edition aims to improve clinical utility of psychiatric classification across cultures. Mood, anxiety and stress-related disorders are the most common psychiatric manifestations and the most impacted by cultural factors.

Main body

Relying on rigorous field testing, including in three Arab countries, clinically meaningful changes have been introduced in the International Classification of Diseases 11. These include new disorders such as complex post-traumatic stress disorder and prolonged grief disorder. In classifying mood episodes, the pattern of symptoms over time is emphasized. Disorders associated with anxiety provide the basis for a new grouping separate from obsessive-compulsive-related disorders. Lastly, culture and its impact are incorporated into each diagnostic grouping.

Conclusions

This latest version of the International Classification of Diseases prioritizes addressing gaps in the validity and reliability of psychiatric classification. The methodology adopted in this latest revision is encouraging and opens the way to truly global collaboration on refining psychiatric diagnoses and practice.

Building a statistical classification: A new tool for classification development and testing

Statistical classifications are essential for collecting consistent data that can be compared over space and time. However, a publicly-documented body of practice concerning how to undertake the development and testing of a statistical classification is currently lacking. What aspects of the classification should be tested during the development process? How do we judge whether the classification is fit-for-purpose? How should problems and shortcomings be identified so that they can be remedied? To fill this gap, we drew on existing, authoritative sources to develop an analytic structure for use in the development and testing of statistical classifications. It consists of two components: (1) a statistical classification development and testing framework reflecting the required features of a statistical classification; and (2) a 4-tier model representing the main elements that make up a statistical classification, to use as a heuristic structure within which to locate issues identified and consider how they can be addressed. In this paper, we outline the development of the framework and model, and reflect on their application in testing a draft classification of health interventions. We propose this analytic structure as a new tool to support those engaged in the development of statistical classifications.

Validity, Reliability and Clinical Utility of Mental Disorders: The Case of ICD-11 Schizophrenia

Diagnostic classification systems categorise mental psychopathology in mental disorders. Although these entities are clinical constructs developed by consensus, it has been pointed out that in practice they are usually managed as natural entities and without evaluating aspects related to their nosological construction. The objectives of the study are to review a) the conceptualisation of mental disorders, b) the indicators of validity, reliability and clinical utility, and c) the values of these indicators in ICD-11 schizophrenia. The results show that mental disorders are conceptualised as discrete entities, like the diseases of other areas of medicine; however, differences are observed between these diagnostic categories in clinical practice. The reliability and clinical utility of mental disorders are adequate; however, the validity is not yet clarified. Similarly, ICD-11 schizophrenia demonstrates adequate reliability and clinical utility, but its validity remains uncertain. The conceptualisation of psychopathology in discrete entities may be inadequate for its study, therefore dimensional and mixed models have been proposed. The indicators of validity, reliability and clinical utility enable us to obtain an accurate view of the nosological state of mental disorders when evaluating different aspects of their nosological construction.

Assessment of the Effectiveness of Group Cognitive Behavioural Therapy in Reducing Pathological Gambling

Pathological gambling is a developmental disorder usually associated with a continuous loss of control over gambling; it also involves a preoccupation with gambling and with obtaining money for the same purpose of gambling, irrational thinking, and a continuation of the behaviour despite being aware of its adverse consequences. This study examined the effectiveness of group cognitive-behavioural therapy (GCBT) on pathological gambling among Nigerian students. The study used a group randomised controlled trial design to assign participants to intervention and control groups. A total of 40 undergraduate students, aged 18-30, were classified as pathological gamblers (participants) in this study. Participants completed self-report scales titled South oaks gambling screen and Gambling Symptom Assessment Scale at three-time points. The intervention lasted for 8 weeks. The data collected were statistically analysed using repeated-measures ANOVA. Results revealed that GCBT has a significant effect in decreasing the symptoms of pathological gambling among the participants in GCBT compared to those in the control group and that the improvements were maintained at follow-up. The study concluded that group cognitive-behavioural therapy is impactful therapy in reducing pathological gambling among students. It has also validated the effectiveness of cognitive-behavioural therapy in altering erroneous thoughts and replacing it with a better alternative realistic way of thinking.

Accuracy of diagnostic judgments using ICD-11 vs. ICD-10 diagnostic guidelines for obsessive-compulsive and related disorders

BACKGROUND

We report results of an internet-based field study evaluating the diagnostic guidelines for the newly introduced ICD-11 grouping of obsessive-compulsive and related disorders (OCRD). We examined accuracy of clinicians' diagnostic judgments applying draft ICD-11 as compared to the ICD-10 diagnostic guidelines to standardized case vignettes.

METHODS

1,717 mental health professionals who are members of the World Health Organization's Global Clinical Practice Network completed the study in Chinese, English, French, Japanese, Russian or Spanish. Participants were randomly assigned to apply ICD-11 or ICD-10 guidelines to one of nine pairs of case vignettes.

RESULTS

Participants using ICD-11 outperformed those using ICD-10 in correctly identifying newly introduced OCRD, although results were mixed for differentiating OCRD from disorders in other groupings largely due to clinicians having difficulty differentiating challenging presentations of OCD. Clinicians had difficulty applying a three-level insight qualifier, although the 'poor to absent' level assisted with differentiating OCRD from psychotic disorders. Brief training on the rationale for an OCRD grouping did not improve diagnostic accuracy suggesting sufficient detail of the proposed guidelines.

LIMITATIONS

Standardized case vignettes were manipulated to include specific characteristics; the degree of accuracy of clinicians' diagnostic judgments about these vignettes may not generalize to application in routine clinical practice.

CONCLUSIONS

Overall, use of the ICD-11 guidelines resulted in more accurate diagnosis of case vignettes compared to the ICD-10 guidelines, particularly in differentiating OCRD presentations from one another. Specific areas in which the ICD-11 guidelines did not perform as intended provided the basis for further revisions to the guidelines.

[Schizophrenia and other psychotic disorders in ICD-11 and DSM-5: evolution of the concepts and current status]

The concepts of schizophrenia and other primary psychotic disorders have been changed a lot since their beginnings more than century ago due to many factors such as the dominance of a certain hypothesis during a particular period of time, the development of new clinical research and specific treatments as well as different understanding of the boundaries between mental disorders. It was appeared the diagnosis of schizophrenia spectrum disorders which still based only on clinical symptoms. Whether psychotic disorders can be better represented dimensionally or categorically remains a challenging question. Regarding schizophrenia and other primary psychotic disorders, there are some important changes in DSM-5 and ICD-11 concerning the use of quantitative assessment of psychopathological domains, course of psychosis and remission as well as giving more attention to cognitive issues. The main differences between these classifications are the structure of corresponding sections and different criteria of some disorders. Before the ICD-11 implementation in 2022 into clinical practice, it is highly recommended to conduct a set of trainings for clinicians along with the comments to Diagnostic guidelines for Schizophrenia and other primary psychotic disorders.

Evaluation of the International Classification of Diseases-11 chronic pain classification: study protocol for an ecological implementation field study in low-, middle-, and high-income countries

Introduction

The purpose of the present ecological implementation field study is to evaluate the new classification of chronic pain as implemented in the 11th revision of the International Classification of Diseases (ICD-11) with regard to clinical utility and interrater reliability. To evaluate the classification in a variety of settings, the study will be implemented in different low-, middle-, and high-income countries.

Methods

The study will be conducted in 2 phases. Participating pain clinics of the first phase are located in India, Cuba, and New Zealand. Two or more clinicians per study center will use the ICD-11 classification of chronic pain to diagnose 75 to 100 consecutive new chronic pain patients per center. A structured classification algorithm will guide the diagnostic process. Interrater reliability will be analyzed for the first 20 consecutive new patients per center. Before the coding, a training workshop will introduce the clinicians to the new classification. The main outcome parameter of the ecological implementation field study is clinical utility. More specifically, this entails clinical utility ratings, interrater reliability, as well as the exhaustiveness of the classification and the mutual exclusiveness of the new chronic pain categories. Differences between countries with different cultural backgrounds and income levels will be analyzed.

Perspective

The ecological implementation field study presented here will be implemented in several countries with different income levels. This increases the generalizability of the results and allows initial insight into the global applicability of the new chronic pain classification. A positive evaluation can facilitate the implementation of the classification.

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis-related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.

Schizophrenia in ICD-11: Comparison of ICD-10 and DSM-5

The conceptualization of schizophrenia has changed from its initial conception in the 19th century to the recent publication of the ICD-11. The changes incorporated in this latest version were made based on the evaluation of the current ICD, the available scientific evidence, and the consensus reached by its developers. In this paper we describe the conceptualization changes (diagnostic criteria and specifiers) of ICD-11 schizophrenia with respect to those of ICD-10 and DSM-5. The changes found are discussed based on the scientific literature published in Medline, Scopus and Scielo until July 2019 and the information on the Wordl Health Organization and American Psychiatric Association websites. Given that the diagnosis of schizophrenia is based on the diagnostic criteria of the diagnostic classification systems, it is important to know the changes made in its conceptualization and the evidence supporting such modifications.