Abstract
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.
Keywords: International Classification of Diseases, diagnosis, mental, behavioral or neurodevelopmental disorder, diagnostic guideline
Abstract
Este artículo entrega una breve descripción de los cambios de la CIE-10 a la CIE-11 con respecto a la clasificación de los trastornos mentales, conductuales o trastornos del neurodesarrollo. Estos cambios incluyen una nueva estructura del capítulo, nuevas categorías diagnósticas, cambios en los criterios diagnósticos y pasos hacia un enfoque dimensional. Además, se revisan los estudios de campo de evaluación para la CIE-11, que proporcionan evidencia preliminar de una mayor confiabilidad y utilidad clínica de la CIE-11 en comparación con la CIE-10. A pesar del extenso proceso de revisión, los cambios de la CIE-10 a la CIE-11 fueron relativamente pocos en el sentido de que ambos sistemas son categoriales y clasifican los fenómenos mentales en base a síntomas auto-reportados o que sean clínicamente observables. Se discuten otros enfoques recientes de la nosología y de la clasificación psiquiátrica (por ejemplo, basados en la neurobiología o de acuerdo a jerarquías). Para satisfacer las necesidades de diferentes grupos de usuarios, se propone expandir el enfoque gradual del diagnóstico introducido para algunas categorías diagnósticas de la CIE-11, que incluye elementos categoriales y dimensionales.
Abstract
Cet article propose un aperçu des évolutions entre la CIM-10 et la CIM-11 concernant la classification des troubles mentaux, comportementaux ou neurodéveloppementaux. Un nouveau chapitre, de nouvelles catégories diagnostiques, des critères diagnostiques modifiés et des étapes dimensionnelles ont été ajoutés. De plus, nous examinons les données préliminaires issues d’études de terrain d’évaluation de la CIM-11, en faveur d’une plus grande fiabilité et utilité de cette dernière comparée à la CIM-10. Les modifications de la CIM-10 vers la CIM-11 sont relativement modestes malgré une révision étendue, les deux systèmes restant catégoriels et les troubles mentaux étant classés d’après des symptômes auto-rapportés ou cliniquement observables. Nous analysons d’autres approches récentes de la nosologie et de la classification psychiatriques (selon la neurobiologie ou hiérarchiquement par exemple). Certaines catégories diagnostiques de la CIM-11 pourraient bénéficier selon nous de cette méthode progressive en incluant des éléments catégoriels et dimensionnels.
Introduction
The development of the Mental, Behavioral or Neurodevelopmental Disorders (MBND) chapter of the ICD-11 was the largest and most participative process in the history of mental health disorder classification. The three major aims for this process were global applicability, scientific validity, and clinical utility. 1,2 In 2007, the WHO Department of Mental Health and Substance Abuse assigned the International Advisory Group for the Revision of the ICD-10 Mental and Behavioural Disorders. 3 This advisory group, together with the WHO, established working groups in which experts from all continents reviewed the available evidence and proposed changes to specific parts of the ICD-10 Mental and Behavioural Disorders chapter. These proposals were discussed in a collaborative process with various stakeholders (eg, mental health professionals and users of mental health services), resulting in a beta-draft of the ICD-11 MBND chapter. From 2015, the WHO made the ICD-11 MBND beta draft publicly available on the internet for review and comments. 4 Additionally, feedback from mental health practitioners was obtained via formative field studies. 5,6 In May 2019, the 72nd World Health Assembly voted to adopt ICD-11 , which will be implemented by the WHO member states from January 1, 2022.
In this article, we first present a brief summary of changes regarding the classification of mental, behavioral, or neurodevelopmental disorders from ICD-10 to ICD-11 . In this summary, we review, with examples, changes in the chapter structure, new diagnostic categories, changes in diagnostic criteria and dimensional approaches in ICD-11 . Second, we review findings from a series of field studies evaluating how well the ICD-11 functions when applied by health professionals. Third, we discuss new approaches in psychiatric nosology and we propose expanding dimensional additions to categorical diagnoses to a broader range of diagnostic categories in ICD-11 .
Changes from ICD-10 to IICD-11
Chapter structure
The ICD-11 MBND chapter contains 21 disorder groupings compared with 11 disorder groupings in ICD-10 . Table I displays an overview of the disorder groupings in ICD-10 and ICD-11 . Sleep-wake disorders and conditions related to sexual health were separated from the ICD-11 MBND chapter and cross-listed from the new sleep-wake disorders and conditions related to sexual health chapters. Principles for ordering disorder groupings in ICD-11 were shared etiology, pathophysiology, and phenomenology. Additionally, the aim of the WHO and American Psychiatric Association to harmonize the structure of ICD-11 and DSM-5 influenced the chapter structure of ICD-11 . 2 A central difference between ICD-11 and ICD-10 regarding chapter structure is the omission of a separate disorder grouping for mental and behavioral disorders with onset during childhood and adolescence. The disorders previously pooled in this grouping were moved to other disorder groupings in the ICD-11 MBND chapter, highlighting developmental continuity across the lifespan. 1
New diagnostic categories in ICD-11 and changes in diagnostic criteria
Several diagnostic categories were added in ICD-11 . Table II displays brief descriptions of these new diagnostic categories. The introduction of some new diagnostic categories in ICD-11 has been controversially discussed. 7,8,9 For instance, there were concerns over the pathologization of grief, computer gaming, and compulsive sexual behavior.
In addition to the introduction of new diagnostic categories, there were also changes in the diagnostic criteria for previously existing diagnoses. For example, the diagnostic threshold for Post-Traumatic Stress Disorder (PTSD) was raised in ICD-11 by defining three core symptoms that should be present in all cases: re-experiencing the traumatic event as vivid intrusive memories, flashbacks, or nightmares; avoidance of thoughts and memories of the event, situations or people reminiscent of the event; persistent perceptions of heightened current threat. There is some evidence indicating that the prevalence of ICD-11 PTSD is lower than the prevalence of ICD-10 PTSD, 10,11 whereby the ICD-11 criteria seem to identify the more severe cases of PTSD. 12 Regarding the prevalence of new diagnostic categories, preliminary evidence suggests that the prevalence of the ICD-11 Prolonged Grief Disorder might be almost three-fold higher than the prevalence of DSM-5 Persistent Complex Bereavement Disorder (18.0% compared with 6.4%). 13 In sum, it is unclear how the introduction of ICD-11 will influence the prevalence rate of mental disorders as a whole. To prevent pathologization of normal behavior, the ICD-11 Clinical Descriptions and Diagnostic Guidelines (CDDG), which describe the main clinical features for each disorder, focus on defining the boundary between disorders and variation of normal human functioning.
Dimensional approaches in a categorical system
Current classification systems of mental disorders are based on a polythetic categorical approach. In these classification systems, a list of characteristic symptoms is provided for each diagnosis. The presence of a, usually predefined, number of symptoms from this list is sufficient to assign the respective categorical diagnosis. 14 Categorical diagnoses are required to justify treatment in most countries, to communicate efficiently about mental disorders, and to collect epidemiological data. Additionally, a categorical diagnosis may aid in the decision whether to treat or not to treat a patient. 15 However, categorical classification of mental disorders is associated with various limitations including large within-category heterogeneity, comorbidity, and difficulties in representing subthreshold symptomatology. 16
Table I. Disorder groupings in the ICD-11 Mental, Behavioural or Neurodevelopmental Disorders chapter and in the ICD-10 Mental and Behavioural Disorders chapter (and relevant disorder groupings from other ICD-11 chapters).
ICD-10 F00-F99 Mental and Behavioural Disorders chapter | ICD-11 06 Mental, Behavioural or Neurodevelopmental Disorders chapter (and relevant disorder groupings from other ICD-11 chapters) |
F00-F09 Organic, including symptomatic, mental disorders | 6D70-6E0Z Neurocognitive disorders (8A20-8A2Z Disorders with neurocognitive impairment as a major feature) |
F10-F19 Mental and Behavioural disorders due to psychoactive substance use | 6C40-6C5Z Disorders due to substance use or addictive behaviors |
F20-F29 Schizophrenia, schizotypal and delusional disorders | 6A20-6A2Z Schizophrenia or other primary psychotic disorders 6A40-6A4Z Catatonia |
F30-F39 Mood (affective) disorders | 6A60-6A8Z Mood disorders |
F40-F48 Neurotic, stress-related and somatoform disorders | 6B00-6B0Z Anxiety or fear-related disorders 6B20-6B2Z Obsessive-compulsive or related disorders 6B40-6B4Z Disorders specifically associated with stress 6B60-6B6Z Dissociative disorders 6C20-6C2Z Disorders of bodily distress or bodily experience |
F50-F59 Behavioural syndromes associated with physiological disturbances and physical factors | 6B80-6B8Z Feeding or eating disorders 6E20-6E2Z Mental or Behavioural disorders associated with pregnancy, childbirth, or the puerperium 6E40-6E40Z Psychological or Behavioural factors affecting disorders or diseases classified elsewhere |
F60-F69 Disorders of adult personality and behaviour | 6C70-6C7Z Impulse control disorders 6D10-6D11.5 Personality disorders and related traits 6D30-6D3Z Paraphilic disorders 6D50-6D5Z Factitious disorders (7A00-7A0Z Insomnia disorders) (7A20-7A2Z Hypersomnolence disorders) (7A60-7A6Z Circadian rhythm sleep-wake disorders) (HA60-HA6Z Gender incongruence) |
F70-F79 Mental retardation | 6A00-6A00.Z Disorders of intellectual development |
F80-F89 Disorders of psychological development | 6A00-6A06.Z Neurodevelopmental disorders |
F90-F98 Behavioural and emotional disorders with onset usually occurring in child-hood and adolescence | 6C00-6C0Z Elimination disorders 6C90-6C9Z Disruptive behavioural or dissocial disorders |
F99 Unspecified mental disorder | 6E60-6E6Z Secondary mental or Behavioural syndromes associated with disorders or diseases classified elsewhere |
Table II. Overview of new diagnostic categories in the Mental, Behavioural or Neurodevelopmental Disorders chapter in ICD-11. PTSD, post-traumatic stress disorder.
Diagnosis | Description |
Catatonia | A syndrome of primarily psychomotor disturbances (no longer regarded as a subtype of Schizophrenia) characterized by the occurrence of several different symptoms including stupor; catalepsy; waxy flexibility; mutism; negativism; posturing; mannerisms; stereotypies; psychomotor agitation; grimacing; echolalia; and echopraxia |
Bipolar Type II Disorder | Defined by the occurrence of at least one hypomanic episode and at least one depressive episode |
Body Dysmorphic Disorder | Characterized by persistent preoccupation with at least one defect or flaw in one’s appearance, unnoticeable or only slightly noticeable to others |
Olfactory Reference Disorder | Characterized by persistent preoccupation with the belief that one is emitting a perceived foul or offensive body odor or breath, unnoticeable or only slightly noticeable to others |
Hoarding Disorder | Characterized by accumulation of possessions due to excessive acquisition of possession or difficulties discarding them, regardless of their actual value |
Excoriation Disorder | Characterized by recurrent picking of one’s skin leading to skin lesions, accompanied by unsuccessful attempts to decrease or stop the behavior. |
Complex PTSD | Develops following exposure to a threatening or horrific event (or series of events) and is characterized by severe and persistent disturbances in affect regulation, a negative self-concept and difficulties in sustaining relationships in addition to the three core features of PTSD (ie, re-experiencing the traumatic event in the present, avoidance of thoughts and memories of the event, persistent perceptions of heightened current threat) |
Prolonged Grief Disorder | Abnormally persistent, pervasive and disabling response to bereavement |
Binge Eating Disorder | Characterized by frequent and recurrent episodes of binge eating |
Avoidant/Restrictive Food Intake Disorder | Characterized by abnormal eating or feeding behaviors resulting in the intake of an insufficient quantity or variety of food to meet adequate energy or nutritional requirements |
Body Integrity Dysphoria | Characterized by an intense and persistent desire to become physically disabled in a significant way with onset in childhood or early adolescence |
Gaming Disorder | A pattern of persistent or recurrent gaming behaviour (“video gaming”) |
Compulsive Sexual Behaviour Disorder | A persistent pattern of failure to control intense, repetitive sexual impulses or urges leading to repetitive sexual behaviour |
Intermittent Explosive Disorder | Characterized by repeated brief episodes of verbal or physical aggression or destruction of property representing a failure to control aggressive impulses |
Premenstrual Dysphoric Disorder | Characterized by a pattern of mood symptoms (eg, depressed mood), somatic symptoms (eg, overeating), or cognitive symptoms (eg, forgetfulness) that begin several days before the onset of menses, start to improve within a few days after the onset of menses, and then become minimal or absent within 1 week following the onset of menses |
In a dimensional approach, the severity of a symptom or the degree of disturbance of a specific psychological function is rated on a quantitative dimension. There is a growing understanding that psychopathology is continuously graded in severity. 17,18 Dimensional approaches represent the severity of specific symptoms and psychological dysfunctions, including subthreshold symptomatology. A disadvantage of dimensional classification (eg, in the form of diagnostic profiles), however, is its increased complexity and, therefore, reduced clinical utility compared with categorical classification.
For ICD-11 , the categorical approach of ICD-10 was largely maintained. Yet, dimensional expansions regarding severity, course, and specific symptoms were added for some diagnoses. These dimensional expansions of categorical diagnoses mirror clinical practice, in which dimensional information (eg, severity of illness) is regularly taken into consideration for selecting treatments. 19 A large shift towards dimensionality concerned personality disorders. 20 The division of personality disorders into discrete categories in ICD-10 is not empirically based. 21 Among other problems, a large proportion of patients simultaneously fulfilled the criteria for multiple personality disorders. 22,23 Against this background, the different personality disorders in ICD-10 were replaced with a single personality disorder diagnosis in ICD-11 which is characterized by problems in functioning of aspects of the self (eg, identity) and/or interpersonal dysfunction (eg, managing conflict in relationships). The ICD-11 personality disorder diagnosis is further differentiated according to severity into mild, moderate, and severe. The diagnosis may optionally be specified by the presence of one or multiple maladaptive personality traits: Negative affectivity, detachment, dissociality, disinhibition, anankastia and Borderline pattern. Whereas a different, more complex, dimensional approach to personality disorders was deemed as not feasible in the development of DSM-5 , 24,25 there was a strong focus on clinical utility and simplicity in the revision of the personality disorders grouping in ICD-11 .
Another shift towards dimensionality concerned depressive episodes. In ICD-11 , depressive episodes in depressive or bipolar disorders may be described in detail by using qualifiers indicating the presence of specific symptoms: the melancholic features qualifier, the anxiety symptoms qualifier; the panic attacks qualifiers, and the seasonal pattern qualifier. Additionally, depressive episodes can be described according to severity (mild, moderate, or severe) and remission status (in partial or in full remission). For moderate and severe depressive episodes, the presence of psychotic symptoms may also be indicated.
Also for the Schizophrenia or Other Primary Psychotic Disorders grouping in ICD-11 , dimensional symptom specifiers and course specifiers were added. 1,26 Symptom specifiers describe the current severity of symptoms in six domains: positive symptoms, negative symptoms, depressive symptoms, manic symptoms, psychomotor symptoms, and cognitive symptoms. The severity of each of these symptoms is rated on a 4-point scale ranging from “not present” to “present and severe.” These symptom qualifiers may be used for any diagnosis from the Schizophrenia or Other Primary Psychotic Disorders grouping. Thus, mental health professionals may compliment categorical diagnoses from this disorder grouping by a profile of specific symptoms that conveys additional information regarding symptomatology. The course qualifiers for the Schizophrenia or Other Primary Psychotic Disorders grouping contain two components, allowing characterization of the longitudinal course. The first component (episodicity) differentiates between first episode, multiple episodes or continuous course. The second component concerns the cross-sectional evaluation of the acuity of the symptoms and allows differentiating the current clinical status: currently symptomatic, partial remission, full remission.
A review of the ICD-11 evaluative field studies
A series of field studies evaluated how well the ICD-11 CDDG function when applied by health professionals. These evaluative field studies were conducted either with real patients (ie, ecological field studies) or online with prototypical patient descriptions (ie, online vignette-based field studies). 27 A large ecological field study of the ICD-11 MBND chapter examined the reliability and clinical utility of 16 ICD-11 diagnoses in a sample of 339 clinicians from 13 countries. 28,29 When the ICD-11 diagnostic guidelines were applied to 1806 patients, interrater reliability was excellent for some diagnoses (eg, for social anxiety disorder), but improvable for others (eg, for dysthymic disorder). On average, the reliability of the ICD-11 CDDG was higher compared with previously reported estimates of the ICD-10 CDDG. 28 Additionally, clinicians’ evaluations of clinical utility were positive: A large majority of clinicians (82.5% to 83.9%) perceived the ICD-11 CDDG as quite or extremely easy to use, accurate, clear, and understandable. However, utility ratings varied between countries. 29 In a different ecological field study with 23 practitioners from Mexico, interrater reliability was high for psychotic disorders, moderate for stress-related and mood disorders, and small for anxiety and fear-related disorders. 30
A comprehensive online vignette-based field study investigated the diagnostic accuracy and clinical utility of the ICD-11 CDDG compared with the ICD-10 CDDG in a sample of 928 clinicians from all WHO regions. 31 Diagnostic accuracy, time required to come to a diagnosis, and perceived clinical utility (ie, ease of use, goodness of fit, clarity) were more favorable for ICD-11 compared with ICD-10 . However, advantages of the ICD-11 over the ICD-10 were largely limited to new diagnostic categories in ICD-11 . After excluding all vignettes that pertained to new diagnostic categories in ICD-11 , there was no significant difference in diagnostic accuracy, goodness of fit, clarity, or time required for diagnosis, but the perceived ease of use was significantly higher for ICD-11 compared with ICD-10 . For feeding and eating disorders, a vignette-based online field study with 2288 practitioners found higher diagnostic accuracy and perceived clinical utility of ICD-11 compared with ICD-10 . 32 Also for Schizoaffective Disorder, a vignette-based online field study with 873 practitioners showed small improvements in diagnostic accuracy using ICD-11 compared with ICD-10 . 33 A different online vignette-based field study with 1738 practitioners from 76 countries revealed a higher diagnostic accuracy of practitioners diagnosing based on ICD-11 compared with practitioners diagnosing based on ICD-10 for disorders specifically associated with stress. 34 Additionally, in a web-based field study, a sample of 163 mental health professionals rated the ICD-11 classification of personality disorders (including three levels of severity and trait qualifiers) as more useful regarding its utility for treatment planning, communicating with patients, comprehensiveness, and ease of use compared with the ICD-10 classification of personality disorders. 35
In sum, the results from the evaluative field studies paint a positive picture of the ICD-11 MBND chapter. However, there are different limitations of evaluative field studies that make overly enthusiastic appraisals of ICD-11 premature. First, the samples could be biased in such a way that practitioners who are positive towards ICD-11 are more likely to participate in ICD-11 field studies. This could be particularly the case for online field studies for which participants had to register on their own initiative. Second, individuals’ knowledge that they participate in a field study modifies their behavior. 36 Thus, behavior in ICD-11 evaluative field studies might not adequately reflect diagnostic decision making in routine care. Third, there is some concern over the artificiality of vignette studies. Because vignettes describe prototypic cases, they might not accurately reflect the complexity of real-life situations. 37 In summary, whereas the field studies give first indications regarding diagnostic accuracy and clinical utility, further ecological field studies are needed to reveal how well the ICD-11 works when applied by clinical practitioners under regular conditions.
Critical evaluation and future directions
In the development of the ICD-11 MBND chapter, important steps have been taken to ensure clinical utility, global applicability, and scientific validity. There were also notable steps towards dimensionality regarding symptom severity and time course. Yet, one might argue that 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. In this paragraph, we discuss different new approaches to psychiatric classification and nosology that might inform future revisions of the ICD.
New approaches in diagnostic classification
Various different approaches to advance psychiatric nosology have been introduced over the last years. Of these approaches, the National Institute of Mental Health’s Research Domain Criteria (RDoC) project 38 has received the most attention. RDoC is a research framework for the investigation of mental disorders that is not intended for immediate practical clinical use. The aim of RDoC is to provide a biologically informed framework for understanding mental disorders. The RDoC matrix distinguishes six domains of functioning (negative valence systems, positive valence systems, cognitive systems, social processes, arousal and regulatory systems, and sensorimotor systems) with various subconstructs and eight units of analysis: genes, molecules, cells, circuits, physiology, behavior, self-report, and paradigms. Varying degrees of functioning and dysfunctions in general psychological and biological systems may be described within this matrix. However, there is one major limitation: The RDoC matrix is too complex to guide diagnosis in clinical practice.
Neither the structure of the ICD-11 MBND chapter nor the structure of DSM-5 are based on neurobiology. Because of the large degree of biological heterogeneity within diagnostic categories of current classification 39 and difficulties distinguishing some diagnostic categories genetically 40 and neurobiologically, 41 different approaches have been proposed to shift diagnostic boundaries in a way that biologically more homogeneous subgroups are formed. One such approach is “reverse nosology,” which suggests redefining diagnostic categories based on their molecular, cellular, and circuit basis. 42 In this approach, patients that display a similar neurobiology (eg, similar brain activation patterns) are grouped in the same diagnostic category, although the self-reported symptoms or observable psychopathology may be fundamentally different. Thus, clinical practitioners would be no longer able to diagnose based on their clinical impression and self-report. Additionally, there would be large difficulties in communicating about a diagnosis because it might contain information regarding neurobiology, but only little information regarding observable psychopathology.
A different group of approaches aims to form biologically more homogeneous subgroups within existing diagnostic categories. For example, the Systems Neuroscience of Psychosis (SyNoPsis) project 43 aims to link clinical manifestations of Schizophrenia onto specific brain systems. SyNoPsis differentiates three behavioral domains of Schizophrenia symptoms that match the function of three higher-order corticobasal brain systems: Language (associative loop), affect (limbic loop), and motor behavior (motor loop). Within the SyNoPsis project, also a psychometric instrument that assesses symptoms from these three behavioral domains has been developed which is used to identify clinically and neurobiologically homogeneous subgroups of schizophrenia patients (Bern Psychopathology Scale 44 ). Biologically defining subgroups of patients might then improve care by tailored treatment selection and earlier detection. However, thus far, the connection between neurobiology and psychopathology is not sufficiently understood to establish a diagnostic system on it.
A third approach to psychiatric nosology emphasizes the hierarchical structure of psychopathology. For example, the Hierarchical Taxonomy of Psychopathology (HiTOP 45 ) suggests that arbitrary boundaries between diagnostic categories limit the reliability and validity of traditional taxonomies. This taxonomy is based on dimensional assessments of psychopathology and differentiates different levels of psychopathology with specific symptoms (eg, appetite loss) at the bottom and broader spectra or super-spectra as broader constellations of syndromes (eg, internalizing and externalizing spectra) at the top of the hierarchy. Factor analytic evidence also suggests the presence of a general psychopathology factor that explains the co-occurrence of symptoms across various disorders. 46,47 This general psychopathology factor describes individuals’ propensity to develop any form of psychopathology and is related to increased life impairment. 46 For clinical practice, however, scores on higher order psychopathology dimensions are difficult to interpret leading to a low clinical utility of hierarchical approaches. Yet, dimensional information regarding specific aspects of psychological dysfunctions might aid in guiding interventions.
Reconciling the needs of different user groups: a stepwise approach
A potential problem of current categorical classification systems is that they aim to serve many purposes for various different groups of users. For example, primary care practitioners need well communicable, comprehensible diagnostic categories. Researchers, on the other hand, often prefer detailed dimensional assessments. 15 Whereas complex approaches like RDoC are suitable for research contexts, the categorical approach in ICD-11 provides a higher clinical utility.
To ensure that future versions of the ICD meet the needs of different user groups, a stepwise procedure to diagnosis might be appropriate. In this stepwise approach, each diagnostic step describes a patient’s psychopathology with increasing detail. In the first diagnostic step, a patient’s symptoms may be categorized into broad diagnostic categories. Regarding level of detail, this step might be similar to the ICD-10 Primary Care Version for Recognition and Management of Mental Disorders. On this diagnostic level, patients that experience a level of distress requiring specialized treatment and further diagnostics may be identified. In the second diagnostic step, more specific differential diagnosis might be made. For practitioners in specialized mental health facilities and ambulatory care, the ICD-11 CDDG provide the optimal level of detail. The CDDG contain detailed descriptions regarding the core symptoms of disorders, differential diagnosis, and boundaries with normal human functioning.
In specialized treatment settings and for research, additional dimensional assessments are required to more precisely describe psychopathology. Thus, a third diagnostic step might enrich categorical diagnoses with dimensional assessments, combining the advantages of both approaches (see the ICD-11 Schizophrenia or Other Primary Psychotic Disorders grouping). In this diagnostic step, each categorical diagnosis could be complemented with a symptom profile that provides specific information regarding domains of psychological malfunctioning. Based on this stepwise approach, rapid communication will be possible based on diagnostic categories and dimensional assessments will provide more nuanced profiles for contexts in which detailed dimensional information is needed beyond the overall degree of severity to inform treatment (eg, psychotherapy) and for research. 17 Importantly, the use of nuanced and partly dimensional descriptions of psychopathology is not new to psychiatric treatment: There are various dimensional psychometric scales used in psychiatric hospitals (eg, Beck Depression Inventory-II 48 ; Positive and Negative Symptoms Scale 49 ) and doctor’s letters frequently communicate differentiated clinical assessments.
Thus far, steps towards enriching diagnostic categories with symptom profiles was limited to some disorder groupings in ICD-11 (eg, Personality disorders and related traits, mood disorders, schizophrenia or other primary psychotic disorders). Yet, there is large potential for enriching further categorical diagnoses with symptom profiles. For example, it has been suggested to assess all symptoms of substance use disorders in DSM-5 on (at least) a 3-point scale. 50
Summary
The development of the ICD-11 MBND chapter was characterized by a focus on clinical utility, global applicability, and scientific validity. Thus far, mental health professionals’ evaluations of the ICD-11 are relatively positive. Changes from ICD-10 to ICD-11 include the introduction of new diagnoses, the refinement of diagnostic criteria of existing diagnoses, and notable steps in the direction of dimensionality for some diagnoses. However, there was no paradigm shift from ICD-10 to ICD-11 . There are promising new approaches to psychiatric nosology, which, however, have a low clinical utility. We argue in favor of a stepwise approach to diagnosis that retains categorical classification to ensure clinical utility, 51 but allows more detailed dimensional assessments of psychopathology to inform treatment in specialized settings and research. Expanding the stepwise approach to diagnosis introduced for some diagnostic categories in ICD-11 may help to meet the needs of different user groups of the ICD.
Acknowledgments
The authors declare that they have no conflict of interest
Contributor Information
Wolfgang Gaebel, Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany..
Johannes Stricker, Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany..
Ariane Kerst, Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Klinikum Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany; WHO Collaborating Centre for Quality Assurance and Empowerment in Mental Health, Düsseldorf, Germany..
REFERENCES
- 1.Gaebel W, Zielasek J, Reed GM. Mental and behavioural disorders in the ICD-11: Concepts, methodologies, and current status. Psychiatr Pol. 2017;51(2):169–195. doi: 10.12740/PP/69660. [DOI] [PubMed] [Google Scholar]
- 2.Reed GM, First MB, Kogan CS, et al Innovations and changes in the ICD-11 classification of mental, behavioural and neurodevelopmental disorders. World Psychiatry. 2019;18(1):3–19. doi: 10.1002/wps.20611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.International Advisory Group for the Revision of ICD-10 Mental and Behavioural Disorders A conceptual framework for the revision of the ICD-10 classification of mental and behavioural disorders. World Psychiatry. 2011;10:86–92. doi: 10.1002/j.2051-5545.2011.tb00022.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Luciano M. The ICD-11 beta draft is available online. World Psychiatry. 2015;14(3):375–376. doi: 10.1002/wps.20262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Reed GM, Correia JM, Esparza P, Saxena S, Maj M. The WPA-WHO global survey of psychiatrists’ attitudes towards mental disorders classification. World Psychiatry. 2011;10(2):118–131. doi: 10.1002/j.2051-5545.2011.tb00034.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Roberts MC, Reed GM, Medina-Mora ME, et al A global clinicians’ map of mental disorders to improve ICD-11: Analysing meta-structure to enhance clinical utility. Int Rev Psychiatry. 2012;24(6):578–590. doi: 10.3109/09540261.2012.736368. [DOI] [PubMed] [Google Scholar]
- 7.Aarseth E, Bean AM, Boonen H, et al Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal. J Behav Addict. 2017;6(3):267–270. doi: 10.1556/2006.5.2016.088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Derevensky JL, Richard J. Response to commentary: the future of gaming disorder research and player protection: What role should the video gaming industry and researchers play. Int J Ment Health Addict. 2019 [Google Scholar]
- 9.King DL, Potenza MN. Not playing around: gaming disorder in the International Classification of Diseases (ICD-11) J Adolesc Health. 2019;64(1):5–7. doi: 10.1016/j.jadohealth.2018.10.010. [DOI] [PubMed] [Google Scholar]
- 10.Sachser C, Goldbeck L. Consequences of the diagnostic criteria proposed for the ICD-11 on the prevalence of PTSD in children and adolescents. J Trauma Stress. 2016;29(2):120–123. doi: 10.1002/jts.22080. [DOI] [PubMed] [Google Scholar]
- 11.Wisco BE, Miller MW, Wolf EJ, et al The impact of proposed changes to ICD-11 on estimates of PTSD prevalence and comorbidity. Psychiatry Res. 2016;240:226–233. doi: 10.1016/j.psychres.2016.04.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Barbano AC, van der Mei WF, Bryant RA, et al Clinical implications of the proposed ICD-11 PTSD diagnostic criteria. Psychol Med. 2019;49(3):483–490. doi: 10.1017/S0033291718001101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Boelen PA, Lenferink LI, Nickerson A, Smid GE. Evaluation of the factor structure, prevalence, and validity of disturbed grief in DSM-5 and ICD-11. J Affect Disord. 2018;240:79–87. doi: 10.1016/j.jad.2018.07.041. [DOI] [PubMed] [Google Scholar]
- 14.Parnas J. Differential diagnosis and current polythetic classification. World Psychiatry. 2015;14(3):284–287. doi: 10.1002/wps.20239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kraemer HC, Noda A, O’Hara R. Categorical versus dimensional approaches to diagnosis: methodological challenges. J Psychiatr Res. 2004;38(1):17–25. doi: 10.1016/s0022-3956(03)00097-9. [DOI] [PubMed] [Google Scholar]
- 16.Krueger RF, Bezdjian S. Enhancing research and treatment of mental disorders with dimensional concepts: toward DSM-V and ICD-11. World Psychiatry. 2009;8(1):3–6. doi: 10.1002/j.2051-5545.2009.tb00197.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Clark LA, Cuthbert B, Lewis-Fernández R, Narrow WE, Reed GM. Three approaches to understanding and classifying mental disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC) Psychol Sci Public Interest. 2017;18(2):72–145. doi: 10.1177/1529100617727266. [DOI] [PubMed] [Google Scholar]
- 18.Van Os J, Linscott RJ, Myin-Germeys I, Delespaul P, Krabbendam L. A systematic review and meta-analysis of the psychosis continuum: evidence for a psychosis proneness–persistence–impairment model of psychotic disorder. Psychol Med. 2009;39(2):179–195. doi: 10.1017/S0033291708003814. [DOI] [PubMed] [Google Scholar]
- 19.Van Os J, Fahy TA, Jones P, et al Psychopathological syndromes in the functional psychoses: associations with course and outcome. Psychol Med. 1996;26(1):161–176. doi: 10.1017/s0033291700033808. [DOI] [PubMed] [Google Scholar]
- 20.Tyrer P, Mulder R, Kim YR, Crawford MJ. The development of the ICD-11 classification of personality disorders: an amalgam of science, pragmatism, and politics. Annu Rev Clin Psychol. 2019;15:481–502. doi: 10.1146/annurev-clinpsy-050718-095736. [DOI] [PubMed] [Google Scholar]
- 21.Tyrer P, Crawford M, Mulder R, et al The rationale for the reclassification of personality disorder in the 11th revision of the International Classification of Diseases (ICD-11) Personal Ment Health. 2011;5(4):246–259. [Google Scholar]
- 22.Reed GM. Progress in developing a classification of personality disorders for ICD-11. World Psychiatry. 2018;17:227–229. doi: 10.1002/wps.20533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Tyrer P, Reed GM, Crawford MJ. Classification, assessment, prevalence and effect of personality disorder. Lancet. 2015;385:717–726. doi: 10.1016/S0140-6736(14)61995-4. [DOI] [PubMed] [Google Scholar]
- 24.Krueger RF, Markon KE. The role of the DSM-5 personality trait model in moving toward a quantitative and empirically based approach to classifying personality and psychopathology. Annu Rev Clin Psychol. 2014;10:477–501. doi: 10.1146/annurev-clinpsy-032813-153732. [DOI] [PubMed] [Google Scholar]
- 25.Zachar P, Krueger RF, Kendler KS. Personality disorder in DSM-5: An oral history. Psychol Med. 2016;46(1):1–10. doi: 10.1017/S0033291715001543. [DOI] [PubMed] [Google Scholar]
- 26.Gaebel W. Status of psychotic disorders in ICD-11. Schizophr Bull. 2012;38(5):895–898. doi: 10.1093/schbul/sbs104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Evans SC, Roberts MC, Keeley JW, et al Vignette methodologies for studying clinicians’ decision-making: validity, utility, and application in ICD-11 field studies. Int J Clin Health Psychol. 2015;15(2):160–170. doi: 10.1016/j.ijchp.2014.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Reed GM, Sharan P, Rebello TJ, et al 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. World Psychiatry. 2018;17(2):174–186. doi: 10.1002/wps.20524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Reed GM, Keeley JW, Rebello TJ, et al Clinical utility of ICD-11 diagnostic guidelines for high-burden mental disorders: results from mental health settings in 13 countries. World Psychiatry. 2018;17(3):306–315. doi: 10.1002/wps.20581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Medina-Mora ME, Robles R, Rebello TJ, et al ICD-11 guidelines for psychotic, mood, anxiety and stress-related disorders in Mexico: Clinical utility and reliability. Int J Clin Health Psychol. 2019;19(1):1–11. doi: 10.1016/j.ijchp.2018.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gaebel W, Stricker J, Riesbeck M, et al Accuracy of diagnostic classification and clinical utility assessment of ICD-11 compared to ICD-10 in 10 mental disorders: Findings from a web-based field study. Eur Arch Psychiatry Clin Neurosci. 2019 doi: 10.1007/s00406-019-01076-z. [DOI] [PubMed] [Google Scholar]
- 32.Claudino AM, Pike KM, Hay P, et al The classification of feeding and eating disorders in the ICD-11: results of a field study comparing proposed ICD-11 guidelines with existing ICD-10 guidelines. BMC Med. 2019;17(1):93. doi: 10.1186/s12916-019-1327-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Peterson DL, Webb CA, Keeley JW, et al The reliability and clinical utility of ICD-11 schizoaffective disorder: A field trial. Schizophr Res. 2019;208:235–241. doi: 10.1016/j.schres.2019.02.011. [DOI] [PubMed] [Google Scholar]
- 34.Keeley JW, Reed GM, Roberts MC, et al Disorders specifically associated with stress: A case-controlled field study for ICD-11 mental and behavioural disorders. Int J Clin Health Psychol. 2016;16(2):109–127. doi: 10.1016/j.ijchp.2015.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hansen SJ, Christensen S, Kongerslev MT, et al Mental health professionals’ perceived clinical utility of the ICD-10 vs. ICD-11 classification of personality disorders. Personal Ment Health. 2019;13(2):84–95. doi: 10.1002/pmh.1442. [DOI] [PubMed] [Google Scholar]
- 36.Adair JG. The Hawthorne effect: a reconsideration of the methodological artifact. J Appl Psychol. 1984;69(2):334–345. [Google Scholar]
- 37.Cullen S. Survey-driven romanticism. Rev Philos Psychol. 2010;1(2):275–296. [Google Scholar]
- 38.Insel T, Cuthbert B, Garvey M, et al Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am J Psychiatry. 2010;167(7):748–751. doi: 10.1176/appi.ajp.2010.09091379. [DOI] [PubMed] [Google Scholar]
- 39.Bzdok D, Meyer-Lindenberg A. Machine learning for precision psychiatry: opportunities and challenges. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(3):223–230. doi: 10.1016/j.bpsc.2017.11.007. [DOI] [PubMed] [Google Scholar]
- 40.Purcell SM, Wray NR, Stone JL, et al Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460(7256):748–752. doi: 10.1038/nature08185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Karcher NR, Rogers BP, Woodward ND. Functional connectivity of the striatum in schizophrenia and psychotic bipolar disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019;11:956–965. doi: 10.1016/j.bpsc.2019.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Tamminga CA, Pearlson GD, Stan AD, et al Strategies for advancing disease definition using biomarkers and genetics: The Bipolar and Schizophrenia Network for Intermediate Phenotypes. Biol Psychiatry Cogn Neurosci Neuroimaging. 2017;2(1):20–27. doi: 10.1016/j.bpsc.2016.07.005. [DOI] [PubMed] [Google Scholar]
- 43.Strik W, Stegmayer K, Walther S, Dierks T. Systems neuroscience of psychosis: mapping schizophrenia symptoms onto brain systems. Neuropsychobiology. 2017;75(3):100–116. doi: 10.1159/000485221. [DOI] [PubMed] [Google Scholar]
- 44.Strik W, Wopfner A, Horn H, et al The Bern psychopathology scale for the assessment of system-specific psychotic symptoms. Neuropsychobiology. 2010;61(4):197–209. doi: 10.1159/000297737. [DOI] [PubMed] [Google Scholar]
- 45.Kotov R, Krueger RF, Watson D, et al The Hierarchical Taxonomy of Psychopathology (HiTOP): a dimensional alternative to traditional nosologies. J Abnorm Psychol. 2017;126(4):454–477. doi: 10.1037/abn0000258. [DOI] [PubMed] [Google Scholar]
- 46.Caspi A, Houts RM, Belsky DW, et al The p factor: one general psychopathology factor in the structure of psychiatric disorders? Clin Psychol Sci. 2014;2(2):119–137. doi: 10.1177/2167702613497473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lahey BB, Applegate B, Hakes JK, et al Is there a general factor of prevalent psychopathology during adulthood? J Abnorm Psychol. 2012;121(4):971–977. doi: 10.1037/a0028355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Beck AT, Steer RA, Brown GK. San Antonio, TX: Psychological Corporation; 1996. Manual for the Beck Depression Inventory-II [Google Scholar]
- 49.Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. 1987;13(2):261–276. doi: 10.1093/schbul/13.2.261. [DOI] [PubMed] [Google Scholar]
- 50.Helzer JE, Bucholz KK, Gossop M, Helzer JE, Kraemer HC, Krueger RF, et al . Dimensional Approaches in Diagnostic Classification - Refining the Research Agenda for DSM-V. Arlington, VA: American Psychiatric Association; 2008. A dimensional option for the diagnosis of substance dependence in DSM-V; pp. 19–34. [Google Scholar]
- 51.Brown TA, Barlow DH. Dimensional versus categorical classification of mental disorders in the fifth edition of the Diagnostic and statistical manual of mental disorders and beyond: Comment on the special section. J Abnorm Psychol. 2005;114(4):551–556. doi: 10.1037/0021-843X.114.4.551. [DOI] [PubMed] [Google Scholar]