Static outliers for Avenue 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 Avenue Surgery is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Probenecid 6 Gout and cytotoxic induced hyperiuicaemia 722 0.01 0.00 0.00 9.97
Mometasone furoate 14 Corticosteroids (respiratory) 2838 0.00 0.00 0.00 7.04
Fondaparinux sodium 6 Parenteral anticoagulants 25 0.24 0.00 0.03 6.83
Hamamalis 7 Other anti-inflammatory preparations 154 0.05 0.00 0.01 5.65
Ephedrine hydrochloride 1 Systemic nasal decongestants 1 1.00 0.04 0.18 5.25

Prescribing where Avenue Surgery is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Pseudoephedrine hydrochloride 0 Systemic nasal decongestants 1 0.00 0.96 0.18 -5.25
Somatropin 0 Hypothalamic & anterior pituitary hormone & antioestrogens 5 0.00 0.90 0.27 -3.31
Amoxicillin 289 Broad-spectrum penicillins 465 0.62 0.81 0.09 -2.20
Beclometasone dipropionate 1025 Corticosteroids (respiratory) 2838 0.36 0.57 0.12 -1.75
Qvar 100 inhaler : 65
Clenil Modulite 50micrograms/dose inhaler : 42
Clenil Modulite 100micrograms/dose inhaler : 184
Clenil Modulite 200micrograms/dose inhaler : 75
Fostair 100micrograms/dose / 6micrograms/dose inhaler : 346
Fostair 200micrograms/dose / 6micrograms/dose inhaler : 116
Fostair NEXThaler 100microg/dose / 6microg/dose dry pdr inh : 98
Qvar 100 Autohaler : 2
Soprobec 200micrograms/dose inhaler : 2
Easyhaler Beclometasone 200micrograms/dose dry pdr inhaler : 1
Qvar 50 inhaler : 14
Clenil Modulite 250micrograms/dose inhaler : 4
Soprobec 250micrograms/dose inhaler : 4
Beclometasone 100microg/Formoterol 6microg/dose inh CFCfree : 3
Kelhale 100micrograms/dose inhaler : 3
Kelhale 50micrograms/dose inhaler : 12
Qvar 100micrograms/dose Easi-Breathe inhaler : 7
Qvar 50micrograms/dose Easi-Breathe inhaler : 16
Fostair NEXThaler 200microg/dose / 6microg/dose dry pdr inh : 16
Soprobec 100micrograms/dose inhaler : 10
Qvar 50 Autohaler : 5
Mercaptopurine 3 Antimetabolites 15 0.20 0.80 0.35 -1.74