Static outliers for Chesham & Little Chalfont PCN

There is substantial variation in prescribing behaviours, across various different areas of medicine. Some variation can be explained by demographic changes, or local policies or guidelines, but much of the remaining variation is less easy to explain. At OpenPrescribing we are piloting a number of data-driven approaches to identify unusual prescribing and collect feedback on this prescribing to inform development of new tools to support prescribers and organisations to audit and review prescribing.

This report has been developed to automatically identify prescribing patterns at a chemical level which are furthest away from “typical prescribing” and can be classified as an “outlier”. We calculate the number of prescriptions for each chemical in the BNF coding system using the BNF subparagraph as a denominator, for prescriptions dispensed between April 2021 and August 2021. We then calculate the mean and standard deviation for each numerator and denominator pair across all practices/CCGs/PCNs/STPs. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given practice/CCG/PCN/STP is from the population mean. We then rank your “z-scores” to find the top 5 results where prescribing is an outlier for prescribing higher than its peers and those where it is an outlier for prescribing lower than its peers.

It is important to remember that this information was generated automatically and it is therefore likely that some of the behaviour is warranted. This report seeks only to collect information about where this variation may be warranted and where it might not. Our full analytical method code is openly available on GitHub here.

The DataLab is keen to hear your feedback on the results. You can do this by completing the following survey or emailing us at ebmdatalab@phc.ox.ac.uk. Please DO NOT INCLUDE IDENTIFIABLE PATIENT information in your feedback. All feedback is helpful, you can send short or detailed feedback.

Prescribing where Chesham & Little Chalfont PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Sultiame 18 Control of epilepsy 4857 0.00 0.00 0.00 26.44
Paracetamol and caffeine 7 Non-opioid analgesics and compound preparations 5433 0.00 0.00 0.00 21.42
Acarbose 45 Other antidiabetic drugs 1270 0.04 0.00 0.00 11.10
Disopyramide phosphate 24 Drugs for arrhythmias 241 0.10 0.01 0.01 6.48
Cefradine 35 Cephalosporins 105 0.33 0.02 0.05 5.92

Prescribing where Chesham & Little Chalfont PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Cefalexin 70 Cephalosporins 105 0.67 0.96 0.06 -5.13
Pregabalin 518 Control of epilepsy 4857 0.11 0.27 0.06 -2.90
Benzoyl peroxide and clindamycin phosphate 55 Topical preparations for acne 318 0.17 0.37 0.08 -2.59
Naftidrofuryl oxalate 0 Peripheral vasodilators and related drugs 5 0.00 0.67 0.28 -2.38
Topiramate 70 Control of epilepsy 4857 0.01 0.04 0.01 -2.09