Abstract

Acute uncomplicated upper respiratory tract infections (RTIs) are common reasons for antibiotic prescriptions in the outpatient sector, although>90% are of viral origins and mostly self-limiting. Germany has a low antibiotic prescription rate compared to other European countries, but there are regional differences. Disease-specific quality indicators (QI) developed by the European Surveillance of Antimicrobial Consumption Network (ESAC-Net) address the prescription rates (target <20%) and choice of antibiotic (target>80%) in a general practitioner population. The aim of this analysis was to operationalise the ESAC-Net-QI using secondary data from a health insurance company at the level of diseases and healthcare facilities, as well as to analyse areas for improvement. The underlying database comprises the panel physician billing, hospital and prescription data in accordance with German law (§§ 295, 300 and 301 SGB V) of the Barmer health insurance company for the year 2022. Categorical features are presented as frequency and percentage. Maximum specificity was aimed, hence potentially risky disease courses were excluded. The overall RTI prescription rate of antibiotics was 25% in 2022 before applying inclusion and exclusion criteria (1,197,568/4,720,786). After applying the algorithm, the prescription rate for all RTI cases dropped to 6% (80,786/1,365,646). When specific RTI indications are considered, 35% (13,465/38,913) of acute bronchitis and acute sinusitis cases (4,971/14,051) received an antibiotic prescription each. At the facility level, 38% of practices (1,396/3,705) treating acute bronchitis and 41% of practices (539/1,300) treating acute sinusitis achieved the target of<20% antibiotic prescriptions. Only 29% of all RTI cases with antibiotic prescriptions (23,733/80,786) received a first-choice antibiotic. Our analysis indicates that the ESAC-Net-QI for RTIs can be calculated at case and facility levels using routine health insurance data. For specific RTIs, there were indications of improvement potential in the frequency and selection of prescribed antibiotics.

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