However, a large literature now highlights major misalignments between these disorder classifications and the symptomatic experience of patients. This approach presupposes that (i) the specific groupings of symptoms are good at separating individuals based on their symptom profile, such that individuals with a particular diagnosis have similar symptom presentations and (ii) that these symptom-based diagnostic groups each share a common underlying etiology. In the absence of an understanding of underlying etiologies and biology of mental health challenges, the classification systems of DSM-5 ( 8) and ICD-11 ( 9) evolved to define mental health disorders by symptom criteria whereby specific groupings of symptoms are each assigned “disorder” labels. As people grapple with the consequences of the Covid-19 pandemic, the number reporting challenges with their mental health has further increased ( 4– 7), emphasizing the importance of improving our understanding of mental illness to enable better outcomes. In 2017, 792 million people lived with a mental health disorder globally ( 1), while depression is the leading cause of disability as measured by Years Lived with Disability (YLDs) and a major contributor to the global burden of disease ( 2, 3). The mental health of our society is a problem of growing concern. Greater emphasis on empirical, disorder agnostic approaches to symptom profiling would help overcome existing challenges with heterogeneity and comorbidity, aiding clinical and research outcomes. Overall, these results quantify the scale of misalignment between clinical symptom profiles and DSM-5 disorder labels and demonstrate that DSM-5 disorder criteria do not separate individuals from random when the complete mental health symptom profile of an individual is considered. Within this group, the heterogeneity of symptom profiles was almost as high within a disorder label as between 2 disorder labels and not separable from randomly selected groups of individuals with at least one of any of the 10 disorders. While 58.7% of those with 5 or more clinically significant symptoms did not map to the diagnostic criteria of any of the 10 DSM-5 disorders studied, those with symptom profiles that mapped to at least one disorder had, on average, 20 clinically significant symptoms. We found a continuum of symptom prevalence rather than a clear separation of normal and disordered. Dissimilarity of symptom profiles within and between disorders was then computed. Data were acquired using the Mental Health Quotient, an anonymous, online, self-report tool that comprehensively evaluates symptom profiles across 10 common mental health disorders. Here we provide a quantitative analysis of the symptom heterogeneity and disorder comorbidity across a sample of 107,349 adult individuals (aged 18–85 years) from 8 English-speaking countries. Patients with the same disorder diagnosis exhibit diverse symptom profiles and comorbidities creating numerous clinical and research challenges. Sapien Labs, Arlington, VA, United StatesĪssessment of mental illness typically relies on a disorder classification system that is considered to be at odds with the vast disorder comorbidity and symptom heterogeneity that exists within and across patients.Jennifer Jane Newson * Vladyslav Pastukh Tara C.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |