Static outliers for Waverley Pms

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 Waverley Pms is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Co-danthramer (Dantron/poloxamer 188) 2 Stimulant laxatives 153 0.01 0.00 0.00 9.65
Alkyl sulfate 2 Shampoos and some other scalp preparations 29 0.07 0.00 0.01 9.17
Tetracaine 21 Local anaesthetics 50 0.42 0.02 0.06 6.19
Haloperidol decanoate 1 Antipsychotic depot injections 1 1.00 0.08 0.22 4.21
Olmesartan medoxomil/amlodipine 11 Angiotensin-II receptor antagonists 794 0.01 0.00 0.00 4.11

Prescribing where Waverley Pms is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Aciclovir 9 Herpes simplex and varicella-zoster 13 0.69 0.95 0.07 -3.80
Theophylline 0 Theophylline 4 0.00 0.83 0.25 -3.38
Sertraline hydrochloride 143 Selective serotonin re-uptake inhibitors 660 0.22 0.45 0.09 -2.70
Lidocaine hydrochloride 27 Local anaesthetics 50 0.54 0.91 0.14 -2.64
Colecalciferol 464 Vitamin D 513 0.90 0.96 0.02 -2.37
Accrete D3 tablets : 114
Evacal D3 1500mg/400unit chewable tablets : 140
Stexerol-D3 25,000unit tablets : 30
Calcichew D3 1000mg/800unit Once Daily chewable tablets : 2
InVita D3 25,000units/1ml oral solution : 2
Stexerol-D3 1,000unit tablets : 1
Thorens 10,000units/ml oral drops : 1
Colecalciferol 400unit / Calcium carbonate 1.5g tablets : 4
Fultium-D3 20,000unit capsules : 4
InVita D3 2,400units/ml oral drops : 4
Adcal-D3 Lemon chewable tablets : 18
Calceos 500mg/400unit chewable tablets : 18
Colecalciferol 200unit / Calcium carbonate 750mg tablets : 22
Colecalciferol 400unit / Calcium carbonate 1.5g efferv tab : 3
Calcichew D3 Forte chewable tablets : 3
Adcal-D3 chewable tablets tutti frutti : 11
Colecalciferol 400unit / Calcium carbonate 1.5g chewable tab : 25
Colecalciferol 400unit / Calcium carbonate 1.25g chew tab : 6
Fultium-D3 800unit capsules : 6
Desunin 800unit tablets : 6
Adcal-D3 750mg/200unit caplets : 20
Adcal-D3 Dissolve 1500mg/400unit effervescent tablets : 5
Colecalciferol 800unit tablets : 19