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

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 co...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of antimicrobial chemotherapy 2024-04, Vol.79 (4), p.767-773
Hauptverfasser: van den Eijnde, Sharon E J D, van der Linden, Paul D, van der Velden, Alike W
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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. 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. 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. 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%. 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.
ISSN:0305-7453
1460-2091
1460-2091
DOI:10.1093/jac/dkae017