Static outliers for Shirehampton Group Practice

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 Shirehampton Group Practice is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Cortisone acetate 2 Use of corticosteroids 586 0.00 0.00 0.00 40.16
Tenoxicam 4 Non-steroidal anti-inflammatory drugs 1084 0.00 0.00 0.00 11.60
Phenoxybenzamine hydrochloride 4 Alpha-adrenoceptor blocking drugs 387 0.01 0.00 0.00 10.93
Saxagliptin 164 Other antidiabetic drugs 916 0.18 0.01 0.02 6.81
Umeclidinium bromide 117 Antimuscarinic bronchodilators 194 0.60 0.12 0.13 3.72

Prescribing where Shirehampton Group Practice is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Tiotropium bromide 52 Antimuscarinic bronchodilators 194 0.27 0.71 0.18 -2.42
Beclometasone dipropionate 385 Corticosteroids (respiratory) 1177 0.33 0.57 0.12 -2.04
Qvar 50 inhaler : 45
Clenil Modulite 50micrograms/dose inhaler : 59
Clenil Modulite 100micrograms/dose inhaler : 81
Fostair 100micrograms/dose / 6micrograms/dose inhaler : 91
Fostair 200micrograms/dose / 6micrograms/dose inhaler : 36
Fostair NEXThaler 200microg/dose / 6microg/dose dry pdr inh : 2
Beclometasone 100mcg/dose breath actuated inhaler CFC free : 1
Qvar 100 Autohaler : 1
Qvar 50micrograms/dose Easi-Breathe inhaler : 1
Beclometasone 200microg/Formoterol 6microg/dose dry pdr inh : 4
Clenil Modulite 200micrograms/dose inhaler : 8
Easyhaler Beclometasone 200micrograms/dose dry pdr inhaler : 3
Clenil Modulite 250micrograms/dose inhaler : 3
Soprobec 100micrograms/dose inhaler : 3
Fostair NEXThaler 100microg/dose / 6microg/dose dry pdr inh : 16
Qvar 100 inhaler : 11
Beclometasone 50micrograms/dose inhaler CFC free : 10
Beclometasone 100micrograms/dose inhaler CFC free : 5
Beclometasone 100microg/Formoterol 6microg/dose inh CFCfree : 5
Methylprednisolone acetate 3 Local corticosteroid injections 49 0.06 0.73 0.39 -1.71
Timolol and bimatoprost 7 Treatment of glaucoma 541 0.01 0.10 0.05 -1.67
Gentamicin sulfate 0 Aminoglycosides 1 0.00 0.72 0.44 -1.65