Prescripción de antibióticos en las infecciones del tracto respiratorio y factores predictores de su utilización.

Atención Primaria(2010)

Cited 23|Views11
No score
Abstract
Objective: Happy Audit project is a European-funded survey aimed at reducing the antibiotic treatment administered for these RTIs in Spain and to find out which criteria are associated with its use. Design: Cross-sectional study carried out in January and February 2008. Setting: Primary health care. Participants: General practitioners registered all the RTI during a 3-week period using a template. Principal measurements: Age and gender, days with symptoms, signs presented (fever, cough, purulent ear discharge, sore throat, tonsillar exudate, swollen neck glands, dyspnoea, increase in sputum, purulent sputum), diagnosis, antibiotic therapy and demand of antibiotics. A logistic regression with the prescription of antibiotic as the dependent variable was performed. Results: Out of the 332 physicians invited to participate, 309 filled in and returned the templates (93.1%), registering 16,751 RTIs, with the common cold (39.7%), pharyngitis (14.4%) and acute bronchitis (12.6%) being the most common. Antibiotic therapy was given to 4,675 RTIs (27.9%), mainly for pneumonia (89.9%), tonsillitis (88.9%), and otitis media (87.3%). The criterion most associated with antibiotic therapy was the presence of tonsillar exudate (OR: 32.1; 95CI%: 24.5-42), followed by ear discharge (25.2; 95%CI: 18.2-35) and purulence of sputum (18.1; 95%CI: 15.5-21.2); conversely, cough (OR: 0.4; 95%CI: 0.3-0.5) was considered as protective factor. Discussion: Antibiotic treatment for RTIs is very high in our country. This study provides information on the criteria that predict this antibiotic therapy and is important to take into account if a more rational use of antibiotics is required. (C) 2009 Elsevier Espana, S.L. All rights reserved.
More
Translated text
Key words
Antibióticos,Infección del tracto respiratorio,Atención primaria,Auditoría
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined