Article ID: CBB131501262

Making and managing medical anomalies: Exploring the classification of ‘medically unexplained symptoms’ (December 2020)

unapi

This article explores the making and management of anomaly in scientific work, taking ‘medically unexplained symptoms’ (MUS) as its case. MUS is a category used to characterize health conditions that are widely held to be ambiguous, in terms of their nature, causes and treatment. It has been suggested that MUS is a ‘wastebasket diagnosis’. However, although a powerful metaphor, it does neither the category nor the profession justice: Unlike waste in a wastebasket, unexplained symptoms are not discarded but contained, not ejected but managed. Rather than a ‘wastebasket’, I propose that we instead think about it as a ‘junk drawer’. A junk drawer is an ordering device whose function is the containment of things we want to keep but have nowhere else to put. Based on a critical document analysis of the research literature on MUS (107 research articles from 10 medical journals, published 2001–2016), the article explores how the MUS category is constituted and managed as a junk drawer in medical science.

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Citation URI
https://data.isiscb.org/isis/citation/CBB131501262/

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Authors & Contributors
Hillman, Alexandra
Aragona, Massimiliano
Brian, Kathleeen M.
Cooper, Rachel
Cunningham-Burley, Sarah
Haines, Duane E.
Journals
Social Studies of Science
History of Psychiatry
Science, Technology, and Human Values
Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences
Endeavour: Review of the Progress of Science
Journal of the History of the Neurosciences
Concepts
Diagnosis
Science and technology studies (STS)
Nosology; classification of diseases
Medicine
Psychiatry
Certainty; uncertainty
Time Periods
21st century
19th century
18th century
20th century
20th century, early
20th century, late
Places
Brazil
Great Britain
Chile
Austria
China
Sweden
Institutions
World Health Organization (WHO)
National Institute of Mental Health (U.S.)
Diagnostic and Statistical Manual of Mental Disorders (DSM)
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