Disease-Specific Quality Indicators for Outpatient Antibiotic Prescribing for Respiratory Infections (ESAC Quality Indicators) Applied to Point Prevalence Audit Surveys in General Practices in 13 European Countries

[Antibiotic Prescription Rates For Respiratory Tract Infections Treated In The Outpatient Sector Based On Routine Data From A German Health Insurance Company]

BACKGROUND

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.

METHOD

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.

RESULTS

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.

CONCLUSION

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.

Diagnosis-linked antibiotic prescribing quality indicators: demonstrating feasibility using practice-based routine primary care data, reliability, validity and their potential in antimicrobial stewardship

BACKGROUND

Quality indicators (QIs) can be used to obtain valuable insights into prescribing quality. Five quantitative and nine diagnosis-linked QIs, aiming to provide general practitioners (GP) with feedback on their antibiotic prescribing quantity and quality, were previously developed and evaluated in a controlled study.

OBJECTIVE

To confirm, in a larger non-controlled study, the feasibility of using routinely collected and extracted electronic patient records to calculate the diagnosis-linked QI outcomes for antibiotic prescribing, and their reliability and validity.

METHODS

Retrospective study involving 299 Dutch general practices using routine care data (2018-2020). QIs describe total antibiotic and subgroup prescribing, prescribing percentages and first-choice prescribing for several clinical diagnoses. Practice variation in QI outcomes, inter-QI outcome correlations and sensitivity of QI outcomes to pandemic-induced change were determined.

RESULTS

QI outcomes were successfully obtained for 278/299 practices. With respect to reliability, outcomes for 2018 and 2019 were comparable, between-practice variation in outcomes was similar to the controlled pilot, and inter-QI outcome correlations were as expected, for example: high prescribing of second choice antibiotics with low first-choice prescribing for clinical diagnoses. Validity was confirmed by their sensitivity to pandemic-induced change: total antibiotic prescribing decreased from 282 prescriptions/1000 registered patients in 2018 to 216 in 2020, with a decrease in prescribing percentages for upper and lower respiratory infections, from 26% to 18.5%, and from 28% to 16%.

CONCLUSIONS

This study confirmed the fit-for-purpose (feasibility, reliability and validity) of the antibiotic prescribing QIs (including clinical diagnosis-linked ones) using routinely registered primary health care data as a source. This feedback can therefore be used in antibiotic stewardship programmes to improve GPs' prescribing routines.

Patient leaflets on respiratory tract infections did not improve shared decision making and antibiotic prescriptions in a low-prescriber setting

Patient information leaflets can reduce antibiotic prescription rates by improving knowledge and encouraging shared decision making (SDM) in patients with respiratory tract infections (RTI). The effect of these interventions in antibiotic low-prescriber settings is unknown. We conducted a pragmatic pre-/post interventional study between October 2022 and March 2023 in Swiss outpatient care. The intervention was the provision of patient leaflets informing about RTIs and antibiotics use. Main outcomes were the extent of SDM, antibiotic prescription rates, and patients' awareness/knowledge about antibiotic use in RTIs. 408 patients participated in the pre-intervention period, and 315 patients in the post- intervention period. There was no difference in the extent of SDM (mean score (range 0-100): 65.86 vs. 64.65, p = 0.565), nor in antibiotic prescription rates (no prescription: 89.8% vs. 87.2%, p = 0.465) between the periods. Overall awareness/knowledge among patients with RTI was high and leaflets showed only a small effect on overall awareness/knowledge. In conclusion, in an antibiotic low-prescriber setting, patient information leaflets may improve knowledge, but may not affect treatment decisions nor antibiotic prescription rates for RTIs.