Classifying Madness
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Classifying Madness
Author: Rachel Cooper
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-03-30
This book is about the Diagnostic and Statistical Manual of Mental Disorders, more commonly known as the D.S.M. The D.S.M. is published by the American Psychiatric Association and aims to list and describe all mental disorders. Within its pages can be found diagnostic criteria for types of depression, types of schizophrenia, eating disorders, anxiety disorders, phobias, sleeping disorders, and so on. Also included are less familiar, and more controversial, conditions: Mathematics Disorder, Caffeine Intoxication, Nicotine Dependence, Nightmare Disorder. It must be admitted that the D.S.M. is not an exciting read. Its pages follow a standard format: Each disorder has a numerical code. This is followed by a description of the disorder, which includes information regarding prevalence, course, and differential diagnosis. Finally explicit criteria that patients must meet to receive the diagnosis are listed. These generally include lists of the symptoms that must be present, restrictions as to the length of time that the symptoms must have been troublesome, and clauses that state that the symptoms must not be better accounted for by some other condition.
Classifying Psychopathology
Scholars question the extent to which current psychiatric classification systems are inadequate for diagnosis, treatment, and research of mental disorders and offer suggestions for improvement. In this volume, leading philosophers of psychiatry examine psychiatric classification systems, including the Diagnostic and Statistical Manual of Mental Disorders (DSM), asking whether current systems are sufficient for effective diagnosis, treatment, and research. Doing so, they take up the question of whether mental disorders are natural kinds, grounded in something in the outside world. Psychiatric categories based on natural kinds should group phenomena in such a way that they are subject to the same type of causal explanations and respond similarly to the same type of causal interventions. When these categories do not evince such groupings, there is reason to revise existing classifications. The contributors all question current psychiatric classifications systems and the assumptions on which they are based. They differ, however, as to why and to what extent the categories are inadequate and how to address the problem. Topics discussed include taxometric methods for identifying natural kinds, the error and bias inherent in DSM categories, and the complexities involved in classifying such specific mental disorders as “oppositional defiance disorder” and pathological gambling. Contributors George Graham, Nick Haslam, Allan Horwitz, Harold Kincaid, Dominic Murphy, Jeffrey Poland, Nancy Nyquist Potter, Don Ross, Dan Stein, Jacqueline Sullivan, Serife Tekin, Peter Zachar
Systems of Classification in Premodern Medical Cultures
Systems of Classification in Premodern Medical Cultures puts historical disease concepts in cross-cultural perspective, investigating perceptions, constructions and experiences of health and illness from antiquity to the seventeenth century. Focusing on the systematisation and classification of illness in its multiple forms, manifestations and causes, this volume examines case studies ranging from popular concepts of illness through to specialist discourses on it. Using philological, historical and anthropological approaches, the contributions cover perspectives across time from East Asian, Middle Eastern and Mediterranean cultures, spanning ancient Egypt, Mesopotamia, Greece and Rome to Tibet and China. They aim to capture the multiplicity of disease concepts and medical traditions within specific societies, and to investigate the historical dynamics of stability and change linked to such concepts. Providing useful material for comparative research, the volume is a key resource for researchers studying the cultural conceptualisation of illness, including anthropologists, historians and classicists, among others.