Static outliers for Well Up North 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 Well Up North PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Benzyl benzoate 1 Parasiticidal preparations 17 0.06 0.00 0.00 36.88
Phenylephrine hydrochloride 9 Mydriatics and cycloplegics 103 0.09 0.00 0.02 5.50
Oils for the ear 6 Removal of ear wax and other substances 18 0.33 0.01 0.06 5.49
Dronedarone hydrochloride 131 Drugs for arrhythmias 626 0.21 0.02 0.04 5.32
Pioglitazone hydrochloride 933 Other antidiabetic drugs 4214 0.22 0.04 0.04 4.91

Prescribing where Well Up North PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Mesalazine (Systemic) 979 Aminosalicylates 2657 0.37 0.64 0.10 -2.80
Mesalazine 400mg gastro-resistant tablets : 35
Mesalazine 500mg suppositories : 13
Mesalazine 500mg modified-release tablets : 22
Mesalazine 1g suppositories : 32
Mesalazine 1g/application foam enema : 2
Mesalazine 2g/59ml enema : 2
Mesalazine 1.2g gastro-resistant modified-release tablets : 5
Asacol 400mg MR gastro-resistant tablets : 99
Asacol 800mg MR gastro-resistant tablets : 34
Pentasa 500mg modified-release tablets : 34
Pentasa 1g suppositories : 7
Pentasa 1g modified-release granules sachets : 8
Pentasa 2g modified-release granules sachets : 17
Pentasa 1g modified-release tablets : 24
Salofalk 500mg suppositories : 8
Salofalk 1.5g gastro-resistant modified-release gran sachets : 1
Salofalk 1g suppositories : 3
Salofalk 3g gastro-resistant modified-release gran sachets : 8
Mezavant XL 1200mg tablets : 89
Octasa 800mg MR gastro-resistant tablets : 81
Octasa 400mg MR gastro-resistant tablets : 455
Nitrofurantoin 2925 Urinary-tract infections 3524 0.83 0.96 0.05 -2.59
Aciclovir 846 Herpes simplex and varicella-zoster 988 0.86 0.95 0.04 -2.55
Co-codamol (Codeine phosphate/paracetamol) 3402 Non-opioid analgesics and compound preparations 25088 0.14 0.44 0.12 -2.49
Aspirin 17265 Antiplatelet drugs 31271 0.55 0.65 0.04 -2.38