Reduction of antibiotic prescription in primary care Other
Conditions
Interventions
The method of randomization is simple random sampling.
General practitioners (GPs) in the intervention arm will receive individualized monthly information about their antibiotic prescription (incorpo
Sponsors
Primary Care Management of Mallorca (Gerencia de Atención Primaria de Mallorca)
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: All GPs with assigned patients in their primary care health center will be included
Exclusion criteria
Exclusion criteria: Does not meet the inclusion criteria
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Current primary outcome measure as of 06/01/2025: The efficacy of the interventions on the prescription of antibiotics in the primary care area, measured using the number of antibiotic prescriptions extracted from the e-prescription databases of each health district at 12-month follow-up. The primary outcome will be measured as the total number of antibiotic prescriptions per 100 visits. Previous primary outcome measure: The efficacy of the interventions on the prescription of antibiotics in the primary care area, measured using the number of antibiotic prescriptions extracted from the e-prescription databases of each health district at 12-month follow-up | — |
Secondary
| Measure | Time frame |
|---|---|
| Current secondary outcome measures as of 07/05/2025: 1. Percentage of patients who start antibiotic treatment measured using the number of antibiotic prescriptions extracted from the e-prescription databases of each health district at 12-month follow-up. 2. Antibiotic prescription according to therapeutic group of antibiotics measured using number of antibiotic prescriptions according to therapeutic group (beta-lactams, glycopeptides, macrolides, aminoglycosides, tetracyclines, quinolones and fluoroquinolones, sulfonamides, lincosamides, oxazolidinones, polymyxins, rifamycins, nitroimidazoles, nitrofurans, fosfomycin) extracted from the e-prescription databases of each health district at 12-month follow-up. 3. Antibiotic prescription according to prescription pathology measured using the number of antibiotic prescriptions and their associated pathology (lower and upper respiratory infections, lower and upper urinary tract infections, sexually transmitted infections, skin and soft tissue infections, oral and odontogenic infections) at 12-month follow-up. 4. Antibiotic prescription according to gender measured using the number of antibiotic prescriptions extracted from the e-prescription databases of each health district, considering the gender of the GP and gender of the patient at 12-month follow-up. 5. The reach, engagement, adoption, fidelity and maintenance of the intervention. Reach will be defined as the percentage of participating GPs relative to the total number of eligible GPs. Engagement will measure the degree of active involvement in the intervention, including use of the feedback reports, participation in pharmacist-led sessions, and integration of recommendations into clinical practice. Adoption will be measured at the organizational level as the percentage of healthcare management units that have agreed to implement the intervention. Fidelity to the intervention will be assessed through audits of adherence to the planned feedback delivery process. Thi | — |
Countries
Spain
Contacts
Public ContactLaura Gallardo
Outcome results
None listed