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Title:

Defining high probability when making a diagnosis of asthma in primary care: mixed-methods consensus workshop.

Document type:
Article; Journal Article; Research Support, Non-U.S. Gov't; Review
Author(s):
Daines, Luke; Lewis, Steff; Schneider, Antonius; Sheikh, Aziz; Pinnock, Hilary
Abstract:
OBJECTIVE: Making the diagnosis of asthma is challenging. Guidelines recommend that clinicians identify a group at 'high probability' of asthma. High probability, however, is not numerically defined giving rise to uncertainty. The aim of this work was to build consensus on what constitutes a high probability of asthma in primary care. High probability was defined as the probability threshold at which there is enough information to make a firm diagnosis of asthma, and a subsequent negative test w...     »
Journal title abbreviation:
BMJ Open
Year:
2020
Journal volume:
10
Journal issue:
4
Fulltext / DOI:
doi:10.1136/bmjopen-2019-034559
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/32317260
Print-ISSN:
2044-6055
TUM Institution:
Lehrstuhl für Allgemeinmedizin (Prof. Schneider) (keine SAP-Zuordnung!)
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