Reorganizing the diagnostic groupings in DSM-V and ICD-11: a cost/benefit analysis

Understanding the DSM-5: stasis and change

This paper aims to understand the DSM-5 through situating it within the context of the historical development of the DSM series. When one looks at the sets of diagnostic criteria, the DSM-5 is strikingly similar to the DSM-IV. I argue that at this level the DSM has become 'locked-in' and difficult to change. At the same time, at the structural, or conceptual, level there have been radical changes, for example in the definition of 'mental disorder', in the role of theory and of values, and in the abandonment of the multiaxial approach to diagnosis. The way that the DSM-5 was constructed means that the overall conceptual framework of the classification only barely constrains the sets of diagnostic criteria it contains.

[Clinical Implications of Changes in Child Psychiatry in the DSM-5. Strengths and Weaknesses of the Changes]

The Diagnostic and Statistical Manual of Mental Disorders (DSM) and the International Statistical Classification of Diseases and related health problems (ICD) integrate the diagnostic criteria commonly used in psychiatric practice, but the DSM-IV-TR was insufficient for current clinical work. The DSM-5 was first made public in May at the Congress of the American Psychiatric Association, and it includes changes to some aspects of Child Psychiatry, as many of the conditions that were at the beginning in chapter of infancy, childhood and adolescence disorders have been transferred to other chapters and there are new diagnostic criteria or new terms are added. It is therefore important to provide it to Psychiatrists who attend children in order to assess the changes they will be facing in the nomenclature and classification in pursuit of a better classification of the childhood psychopathology.

Psychiatric comorbidity: fact or artifact?

The frequent occurrence of comorbidity has brought about an extensive theoretical debate in psychiatry. Why are the rates of psychiatric comorbidity so high and what are their implications for the ontological and epistemological status of comorbid psychiatric diseases? Current explanations focus either on classification choices or on causal ties between disorders. Based on empirical and philosophical arguments, we propose a conventionalist interpretation of psychiatric comorbidity instead. We argue that a conventionalist approach fits well with research and clinical practice and resolves two problems for psychiatric diseases: experimenter's regress and arbitrariness.

Mental health professionals' natural taxonomies of mental disorders: implications for the clinical utility of the ICD-11 and the DSM-5

OBJECTIVE

To examine the conceptualizations held by psychiatrists and psychologists around the world of the relationships among mental disorders in order to inform decisions about the structure of the classification of mental and behavioral disorders in World Health Organization's International Classification of Diseases and Related Health Problems 11th Revision (ICD-11).

METHOD

517 mental health professionals in 8 countries sorted 60 cards containing the names of mental disorders into groups of similar disorders, and then formed a hierarchical structure by aggregating and disaggregating these groupings. Distance matrices were created from the sorting data and used in cluster and correlation analyses.

RESULTS

Clinicians' taxonomies were rational, interpretable, and extremely stable across countries, diagnostic system used, and profession. Clinicians' consensus classification structure was different from ICD-10 and the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders 4th Edition (DSM-IV), but in many respects consistent with ICD-11 proposals.

CONCLUSIONS

The clinical utility of the ICD-11 may be improved by making its structure more compatible with the common conceptual organization of mental disorders observed across diverse global clinicians.

Mapping common psychiatric disorders: structure and predictive validity in the national epidemiologic survey on alcohol and related conditions

CONTEXT Clinical experience and factor analytic studies suggest that some psychiatric disorders may be more closely related to one another, as indicated by the frequency of their co-occurrence, which may have etiologic and treatment implications. OBJECTIVE To construct a virtual space of common psychiatric disorders, spanned by factors reflecting major psychopathologic dimensions, and locate psychiatric disorders in that space, as well as to examine whether the location of disorders at baseline predicts the prevalence and incidence of disorders at 3-year follow-up. DESIGN, SETTING, AND PATIENTS A total of 34 653 individuals participated in waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. MAIN OUTCOME MEASURES The distance between disorders at wave 1, calculated using the loadings of the factors spanning the space of disorders as coordinates. This distance was correlated with the adjusted odds ratios for age, sex, and race/ethnicity of the prevalence and incidence of Axis I disorders in wave 2, with the aim of determining whether smaller distances between disorders at wave 1 predicts higher disorder prevalence and incidence at wave 2. RESULTS A model with 3 correlated factors provided an excellent fit (Comparative Fit Index = 0.99, Tucker-Lewis Index = 0.98, root mean square error of approximation = 0.008) for the structure of common psychiatric disorders and was used to span the space of disorders. Distances ranged from 0.070 (between drug abuse and alcohol dependence) to 1.032 (between drug abuse and dysthymia). The correlation of distance between disorders in wave 1 with adjusted odds ratios of prevalence in wave 2 was -0.56. The correlation of distance in wave 1 with adjusted odds ratios of incidence in wave 2 was -0.57. CONCLUSIONS Mapping psychiatric disorders can be used to quantify the distances among disorders. Proximity in turn can be used to predict prospectively the incidence and prevalence of Axis I disorders.

A global clinicians' map of mental disorders to improve ICD-11: analysing meta-structure to enhance clinical utility

Enhancing clinical utility is an emphasis of the World Health Organization's development of the mental and behavioural disorders chapter of the next International Classification of Diseases (ICD-11). Understanding how clinicians conceptualize the structure of mental disorders can enable a more clinically intuitive classification architecture that will help professionals find the categories they need more efficiently. This study examined clinicians' conceptualizations of the relationships among mental disorders and the dimensions they use in making these judgements. Psychiatrists and psychologists from 64 countries (n = 1,371), participating in English or Spanish, rated the similarity of mental and behavioural disorders presented as paired comparisons. Data were analysed by multidimensional scaling procedures (INDSCAL) and by analyses of consistency. Participants used three distinctive dimensions to evaluate the similarity among disorders: internalizing versus externalizing, developmental versus adult onset, and functional versus organic. Clinicians' conceptual map of mental disorders was rational and highly stable across profession, language, and country income level. The proposed ICD-11 structure is a moderately better fit with clinicians' conceptual model than either ICD-10 or DSM-IV. Clinician judgements can be used to improve clinical utility of the ICD-11 without sacrificing validity based on a scientific approach to enhancing a logically organized classification meta-structure.

Patterns of comorbidity among mental disorders: a person-centered approach

OBJECTIVE

Comorbidity poses a major challenge to conventional methods of diagnostic classification. Although dimensional models of psychopathology have shed some light on this issue, the reason for interrelationships among dimensions is unclear. The current study employed an alternative approach to characterizing patterns of comorbidity among common mental disorders by modeling them instead as clusters by using latent class analysis (LCA).

METHOD

Latent class analyses of Diagnostic and Statistical Manual of Mental Disorders diagnoses from two nationally representative epidemiological samples--the National Comorbidity Survey and National Comorbidity Survey--Replication datasets--were undertaken.

RESULTS

Within each dataset, LCA yielded 5 latent classes exhibiting distinctive profiles of diagnostic comorbidity: a fear class (all phobias and panic disorder), a distress class (depression, generalized anxiety disorder, dysthymia), an externalizing class (alcohol and drug dependence, conduct disorder), a multimorbid class (highly elevated rates of all disorders), and a few-disorders class (very low probability of all disorders). Whereas some disorders were relatively specific to certain classes, others (major depression, posttraumatic stress disorder, social phobia) appeared to be evident across all classes. Profiles for the five classes were highly similar across the two samples. When bipolar I disorder was added to the LCA models, in both samples, it occurred almost exclusively in the multimorbid class.

CONCLUSIONS

Comorbidity among mental disorders in the general population appears to occur in a finite number of distinct patterns. This finding has important implications for efforts to refine existing diagnostic classification schemes, as well as for research directed at elucidating the etiology of mental disorders.

The borders of mental disorder in psychiatry and the DSM: past, present, and future

Over the past 60 years, the Diagnostic and Statistical Manual of Mental Disorders (DSM) has evolved from early efforts to collect statistical information to a modern compendium of mental disorders that can be reliably diagnosed, but have not been validated. Throughout this history, DSM architects have struggled with the seemingly fundamental, but complex question of how to define a mental disorder. Current proposals indicate that a spectrum model of mental illness will be embraced in DSM-5, prompting renewed concern and debate about pathologizing normal existence. While a spectrum view of mental illness may reflect biologic reality and help pave the path towards validated models of psychiatric disorder, diagnostic expansion does have important practical implications and could give rise to problems in clinical work and society at large, including the further sanctioning of a shift from psychiatric treatment to neuroenhancement. Debates about what should or should not be considered a mental illness in DSM-5 are likely to remain unresolved and, in the future, must be framed according to contextual utility. Diagnosis and thresholds of pathology are ultimately value-based so that careful analysis and perhaps even different definitions of disorder may be required to guide decision-making in research, clinical work, and public policy.