Assessing the quality of paediatric antibiotic prescribing by community paediatricians: a database analysis of prescribing in Lombardy.

Abstract

OBJECTIVE:

To evaluate the quality of paediatricians' antibiotic prescribing using administrative databases.

METHODS:

The data source was the database of reimbursed prescriptions of the Lombardy Region, Italy. Children 1-13 years were included. An index prescription was defined as the first antibiotic prescription during a year period (2011) that occurred without previous, recent, antibiotic prescriptions or hospital or emergency department admissions. The A indicator was the percentage of children, cared for by paediatricians, receiving amoxicillin at the index prescription (minimum target 50%). The B indicator was the percentage of children receiving exclusively non-penicillin antibiotics in unrelated infection episodes (maximum target 10%). Indicators were evaluated for each prescriber and geographical area.

RESULTS:

Overall 424 280 children (cared for by 1164 paediatricians) received an index prescription and were included in the study. Amoxicillin alone was prescribed at the index prescription only to 23.6% of children (7.9%-46.3% within different areas of the region).The percentage of paediatricians who reached the target for the quality indicators was low (12.8% A indicator; 54.0% B indicator; 11.3% both). Almost half of the paediatricians (44.5%) showed inadequate quality of antibiotic prescribing, failing to reach the target for both indicators. Quality of prescribing was about four times worse in high prescribers and younger paediatricians. A geographical cluster of paediatricians reaching the target for both indicators was identified. These paediatricians had, for several years, previously been involved in educational programme.

CONCLUSIONS:

Quality of prescribing was generally unsatisfactory, but increased in a group of paediatricians previously involved in educational interventions and increased with increasing age. Further studies are warranted in order to validate these promising indicators as a benchmarking tool in other studies, when diagnosis is unknown.

• Authors: Daniele Piovani, Antonio Clavenna, Massimo Cartabia, Angela Bortolotti, Ida Fortino, Luca Merlino, Maurizio Bonati
• Journal: BMJ paediatrics open (BMJ Paediatr Open) Vol. 1 Issue 1 Pg. e000169 ( 2017) ISSN: 2399-9772 [Electronic] England
• PMID: 29637165 (Publication Type: Journal Article)