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Balancing medical accuracy and diagnostic consequences: diagnosing medically unexplained symptoms in primary care
- Source :
- Sociology of Health & Illness. 39:1227-1241
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- Focusing on the case of medically unexplained symptoms (MUS), this article explores diagnostic classification in the absence of biomedical evidence or other strong medical warrants for diagnosis. The data are from three focus group interviews with Norwegian general practitioners (GPs) conducted in 2015, that centred on the issue of what diagnoses to use (or not) for MUS. The qualitative analysis reconstructs the logic underlying GPs' diagnostic accounts, which centred on the meaning of diagnostic categories and on anticipating how 'generalised others' would respond to those meanings (called 'diagnosing by anticipation'). The analysis suggests that GPs confer diagnoses by balancing unwarranted medical accuracy and anticipated harmful diagnostic consequences; the goal of diagnosis was finding categories in the International Classification of Primary Care that would yield acceptable results, without making a liar of the GP in the process. Drawing on the distinction between diagnosis as colligation and classification, the findings and their relevance for medical sociology are discussed. Counter to frequent descriptions as 'illness that cannot be diagnosed', the analysis shows how GPs can diagnose MUS in the bureaucratic sense of diagnosis as classification - a sense that has been missing from sociological view.
- Subjects :
- Male
medicine.medical_specialty
Health (social science)
Norwegian
03 medical and health sciences
0302 clinical medicine
General Practitioners
Humans
Relevance (law)
Medicine
030212 general & internal medicine
Meaning (existential)
Medical diagnosis
Psychiatry
Physician-Patient Relations
Medical sociology
Primary Health Care
business.industry
030503 health policy & services
Health Policy
Public Health, Environmental and Occupational Health
Focus Groups
Focus group
language.human_language
Medically Unexplained Symptoms
Anticipation (artificial intelligence)
language
Sociology, Medical
International Classification of Primary Care
Female
0305 other medical science
business
Subjects
Details
- ISSN :
- 14679566 and 01419889
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- Sociology of Health & Illness
- Accession number :
- edsair.doi.dedup.....594b94a1de15cf9211a66e8757916fd0
- Full Text :
- https://doi.org/10.1111/1467-9566.12581