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Multicenter Study Observational Study
Variation in family physicians' recording of auscultation abnormalities in patients with acute cough is not explained by case mix. A study from 12 European networks.
- Nick A Francis, Hasse Melbye, Mark J Kelly, Jochen W L Cals, Rogier M Hopstaken, Samuel Coenen, and Christopher C Butler.
- Cochrane Institute of Primary Care and Public Health, School of Medicine, Cardiff University, Cardiff CF14 4YS, UK. francisna@cf.ac.uk
- Eur J Gen Pract. 2013 Jun 1; 19 (2): 77-84.
BackgroundConflicting data on the diagnostic and prognostic value of auscultation abnormalities may be partly explained by inconsistent use of terminology.ObjectivesTo describe general practitioners use of chest auscultation abnormality terms for patients presenting with acute cough across Europe, and to explore the influence of geographic location and case mix on use of these terms.MethodsClinicians recorded whether 'diminished vesicular breathing', 'wheezes', 'crackles' and 'rhonchi' were present in an observational study of adults with acute cough in 13 networks in 12 European countries. We describe the use of these terms overall and by network, and used multilevel logistic regression to explore variation by network, controlling for patients' gender, age, comorbidities, smoking status and symptoms.Results2345 patients were included. Wheeze was the auscultation abnormality most frequently recorded (20.6% overall) with wide variation by network (range: 8.3-30.8%). There was similar variation for other auscultation abnormalities. After controlling for patient characteristics, network was a significant predictor of auscultation abnormalities with odds ratios for location effects ranging from 0.37 to 4.46 for any recorded auscultation abnormality, and from 0.25 to 3.14 for rhonchi.ConclusionThere is important variation in recording chest auscultation abnormalities by general practitioners across Europe, which cannot be explained by differences in patient characteristics. There is a need and opportunity for standardization in the detection and classification of lung sounds.
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