Static outliers for Greenbank Road Surgery

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 Greenbank Road Surgery is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Dexamethasone sodium phosphate 1 Use of corticosteroids 185 0.01 0.00 0.00 11.30
Apomorphine hydrochloride 3 Dopaminergic drugs used in parkinsonism 33 0.09 0.00 0.01 9.97
Clomipramine hydrochloride 49 Tricyclic and related antidepressant drugs 346 0.14 0.01 0.02 8.10
Valproic acid 11 Control of epilepsy 794 0.01 0.00 0.00 7.28
Beclometasone dipropionate (Systemic) 1 Corticosteroids 1 1.00 0.04 0.14 6.89

Prescribing where Greenbank Road Surgery is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Colecalciferol 528 Vitamin D 608 0.87 0.96 0.02 -3.83
Colecalciferol 400unit / Calcium carbonate 1.25g chew tab : 46
Colecalciferol 400unit / Calcium carbonate 1.5g chewable tab : 35
Calcichew D3 Forte chewable tablets : 157
Fultium-D3 800unit capsules : 30
Fultium-D3 20,000unit capsules : 86
Evacal D3 1500mg/400unit chewable tablets : 87
Colecalciferol 200unit / Calcium carbonate 1.25g chew tab : 2
Pro D3 20,000unit Vegan capsules : 2
Cacit D3 effervescent granules sachets : 2
Calcichew D3 chewable tablets : 2
Colecalciferol 1,000unit capsules : 1
Colecalciferol 440unit/Calcium carb 1.25g efferv gran sach : 1
Fultium-D3 2,740units/ml oral drops : 1
Thorens 25,000units/2.5ml oral solution : 1
Adcal-D3 chewable tablets tutti frutti : 4
Adcal-D3 Lemon chewable tablets : 4
HealthAid Vitamin D3 200units/drop oral drops : 4
Adcal-D3 750mg/200unit caplets : 27
Colecalciferol 800unit capsules : 3
Colecalciferol 25,000unit capsules : 3
Pro D3 1,000unit capsules : 3
SunVit-D3 2,200unit capsules : 3
Hux D3 20,000unit capsules : 3
Pro D3 20,000unit capsules : 11
Colecalciferol 20,000unit capsules : 10
Mercaptopurine 0 Antimetabolites 1 0.00 0.80 0.35 -2.31
Levothyroxine sodium 745 Thyroid hormones 751 0.99 1.00 0.00 -2.19
Budesonide 0 Corticosteroids 1 0.00 0.70 0.34 -2.08
Methylprednisolone acetate 0 Local corticosteroid injections 29 0.00 0.73 0.39 -1.87