Static outliers for Saxonbury House 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 Saxonbury House Surgery is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Other osmotic laxative preparations 1 Osmotic laxatives 778 0.00 0.00 0.00 22.16
Ethinylestradiol 1 Oestrogens and Hormone Replacement Therapy 316 0.00 0.00 0.00 18.75
Nicotine bitartrate 11 Nicotine dependence 41 0.27 0.00 0.03 10.16
Clonazepam 273 Control of epilepsy 1788 0.15 0.03 0.02 5.29
Lacidipine 495 Calcium-channel blockers 3345 0.15 0.01 0.03 4.98

Prescribing where Saxonbury House Surgery is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Furosemide 761 Loop diuretics 1212 0.63 0.86 0.09 -2.55
Ramipril 855 Angiotensin-converting enzyme inhibitors 3048 0.28 0.69 0.17 -2.46
Azathioprine 32 Antiproliferative immunosuppressants 84 0.38 0.80 0.19 -2.28
Bendroflumethiazide 236 Thiazides and related diuretics 1073 0.22 0.58 0.16 -2.26
Beclometasone dipropionate 382 Corticosteroids (respiratory) 1220 0.31 0.57 0.12 -2.16
Qvar 100 inhaler : 41
Clenil Modulite 100micrograms/dose inhaler : 108
Fostair 100micrograms/dose / 6micrograms/dose inhaler : 41
Fostair 200micrograms/dose / 6micrograms/dose inhaler : 46
Qvar 50 Autohaler : 2
Qvar 100micrograms/dose Easi-Breathe inhaler : 2
Easyhaler Beclometasone 200micrograms/dose dry pdr inhaler : 2
Qvar 100 Autohaler : 1
Qvar 50micrograms/dose Easi-Breathe inhaler : 1
Fostair NEXThaler 200microg/dose / 6microg/dose dry pdr inh : 1
Kelhale 50micrograms/dose inhaler : 1
Soprobec 100micrograms/dose inhaler : 1
Beclometasone 200micrograms/dose inhaler CFC free : 4
Beclometasone 100microg/Formoterol 6microg/dose dry pdr inh : 4
Fostair NEXThaler 100microg/dose / 6microg/dose dry pdr inh : 8
Kelhale 100micrograms/dose inhaler : 8
Beclometasone 100micrograms/dose inhaler CFC free : 22
Beclometasone 50micrograms/dose inhaler CFC free : 25
Clenil Modulite 50micrograms/dose inhaler : 25
Clenil Modulite 200micrograms/dose inhaler : 20
Qvar 50 inhaler : 19