Prescribing, Off-Label
Conditions
Brief summary
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.
Detailed description
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).
Interventions
BEHAVIORALletter from the CMO
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%.\*
Sponsors
Public Health England
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Intervention model description
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
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* GP practices that increased the number of prescriptions in the financial year 2016/17, compared to the baseline of financial year 2015/16, by 4% or more
Exclusion criteria
* GP practices are excluded if their current level of prescription (doses per 1000 head of population) is classed as an outlier. The cut off for outliers is made at the 95th percentile of the distribution. * Practices that have not been open since at least October 2013 will be excluded. This is because they will lack the historical data necessary to apply a control for seasonal effects to the main outcome variable. * practices whose antibiotic prescribing rate is in the top 20% for their National Health Service (NHS) Local Area, controlling for relevant patient characteristics.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| antibiotic prescribing in March | 1 month | antibiotic prescribing weighted by Specific Therapeutic group Age-sex Related Prescribing Unit (STAR-PU) |
| antibiotic prescribing in April | 2 months | antibiotic prescribing weighted by STAR-PU |
| antibiotic prescribing May-September | 3-7 months | antibiotic prescribing weighted by STAR-PU |
Countries
United Kingdom
Outcome results
None listed