Annual review of clinical psychology
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Annu Rev Clin Psychol · May 2018
ReviewMachine Learning Approaches for Clinical Psychology and Psychiatry.
Machine learning approaches for clinical psychology and psychiatry explicitly focus on learning statistical functions from multidimensional data sets to make generalizable predictions about individuals. The goal of this review is to provide an accessible understanding of why this approach is important for future practice given its potential to augment decisions associated with the diagnosis, prognosis, and treatment of people suffering from mental illness using clinical and biological data. ⋯ A selective literature review is then presented aiming to reinforce the usefulness of machine learning methods and provide evidence of their potential. In the context of promising initial results, the current limitations of machine learning approaches are addressed, and considerations for future clinical translation are outlined.
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Annu Rev Clin Psychol · May 2018
ReviewSocial Security and Disability Due to Mental Impairment in Adults.
The Social Security Administration (SSA) oversees two disability programs, Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI). Adults with mental impairments represent a very large component of the programs. Policy makers and SSA are concerned about the accuracy of disability determination and also about low levels of labor force participation among individuals with disabilities. ⋯ SSA has sponsored several demonstration research programs focusing on improving the accuracy of disability determination and on interventions in supported employment to return individuals with mental impairments to competitive employment. This article reviews the demonstration research focused on both entry into the disability system (at the "front door") and potential exit from it (through the "back door"). All of the research holds promise to "right-size" the SSA disability program.
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Since at least the middle of the past century, one overarching model of psychiatric classification has reigned supreme, namely, that of the Diagnostic and Statistical Manual of Mental Disorders and the International Statistical Classification of Diseases and Related Health Problems (herein referred to as DSM-ICD). This DSM-ICD approach embraces an Aristotelian view of mental disorders as largely discrete entities that are characterized by distinctive signs, symptoms, and natural histories. Over the past several years, however, a competing vision, namely, the Research Domain Criteria (RDoC) initiative launched by the National Institute of Mental Health, has emerged in response to accumulating anomalies within the DSM-ICD system. ⋯ RDoC appears to be a valuable endeavor that holds out the long-term promise of an alternative system of mental illness classification. We delineate three sets of pressing challenges--conceptual, methodological, and logistical/pragmatic--that must be addressed for RDoC to realize its scientific potential. We conclude with a call for further research, including investigation of a rapprochement between Aristotelian and Galilean approaches to psychiatric classification.
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Annu Rev Clin Psychol · Jan 2015
Review Historical ArticleChronic traumatic encephalopathy: historical origins and current perspective.
Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease that is most often identified in postmortem autopsies of individuals exposed to repetitive head impacts, such as boxers and football players. The neuropathology of CTE is characterized by the accumulation of hyperphosphorylated tau protein in a pattern that is unique from that of other neurodegenerative diseases, including Alzheimer's disease. ⋯ In some cases, motor features, including parkinsonism, can also be present. In this review, the historical origins of CTE are revealed and an overview of the current state of knowledge of CTE is provided, including the neuropathology, clinical features, proposed clinical and pathological diagnostic criteria, potential in vivo biomarkers, known risk factors, and treatment options.
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Women in their reproductive years are at risk of experiencing depressive and anxiety disorders. As such, it is likely that pregnant women will undergo treatment with antidepressants. We review the risk of adverse birth outcomes and neonatal complications subsequent to antidepressant use in pregnancy. ⋯ There is inconclusive evidence of a link between antidepressants in late pregnancy and persistent pulmonary hypertension in the newborn. Extensive study finds that antidepressants cannot be considered major teratogens. It is likely that confounding factors contribute to a number of the adverse effects found to be associated with antidepressant use in pregnancy.