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This trial aims to reduce unnecessary prescription of antibiotics by general practitioners (GPs) in England. Unnecessary prescriptions are defined as those that do not improve patient health outcomes. The intervention is to send GPs a letter from the Chief Medical Officer (CMO) that gives feedback on their practice's prescribing levels. Specifically, GPs in practices whose prescribing has increase by more than 4% over the past year will receive a letter stating that "The great majority (80%) of practices in England reduced or stabilised their antibiotic prescribing rates in 2016/17. However, your practice is in the minority that have increased their prescribing by more than 4%." The letter will also contain a leaflet to help GPs discuss self-care advice with patients and some advice to use delayed prescriptions. The investigators hypothesize that the antibiotic prescribing rate in will be lower for the treatment group compared to the control group, following the receipt of the letter.
The investigators hypothesize that the antibiotic prescribing rate in will be lower for the treatment group compared to the control group; the statistical analysis will compare prescribing in March, April, and over the summer (treating May-September as a single data point).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| letter | Experimental | letter from the CMO: practice outside the top 20% of prescribers whose prescribing increased by > 4%, where GPs in the practice were sent a letter informing them their prescribing had increased |
|
| control | No Intervention | practice outside of the top 20% of prescribers whose prescribing increase by >4%, GPs were not sent a letter |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| letter from the CMO | Behavioral | informed GPs that: The great majority (80%) of practices in England reduced or stabilised their antibiotic prescribing rates in 2016/17. However, your practice is in the minority that have increased their prescribing by more than 4%.* |
| Measure | Description | Time Frame |
|---|---|---|
| antibiotic prescribing in March | antibiotic prescribing weighted by Specific Therapeutic group Age-sex Related Prescribing Unit (STAR-PU) | 1 month |
| antibiotic prescribing in April | antibiotic prescribing weighted by STAR-PU | 2 months |
| antibiotic prescribing May-September | antibiotic prescribing weighted by STAR-PU | 3-7 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Public Health England | London | SE1 | United Kingdom |
There is no individual participant data (IPD). The outcome measure is practice-level prescribing data, which is already publicly available.
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930 practices (this will be the number of datapoints), 478 in the intervention, 452 in the control; letter sent to individual GPS (4796 subjects, as below), 2340 in the intervention, 2456 in the control
practices
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