Static outliers for Arlington 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 Arlington Road Surgery is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Calcium acetate/magnesium carbonate 20 Phosphate binding agents 20 1.00 0.05 0.18 5.24
Sodium fusidate 1 Some other antibacterials 3 0.33 0.01 0.07 4.52
Neomycin sulfate 1 Aminoglycosides 1 1.00 0.06 0.23 4.11
Sotalol hydrochloride 210 Beta-adrenoceptor blocking drugs 4563 0.05 0.01 0.01 3.65
Bromocriptine 9 Bromocriptine and other dopaminergic drugs 10 0.90 0.10 0.23 3.49

Prescribing where Arlington Road Surgery is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Cabergoline 1 Bromocriptine and other dopaminergic drugs 10 0.10 0.86 0.27 -2.80
Beclometasone dipropionate 596 Corticosteroids (respiratory) 1867 0.32 0.57 0.12 -2.11
Qvar 50 inhaler : 104
Qvar 100 inhaler : 121
Clenil Modulite 50micrograms/dose inhaler : 47
Clenil Modulite 100micrograms/dose inhaler : 156
Clenil Modulite 200micrograms/dose inhaler : 39
Fostair 100micrograms/dose / 6micrograms/dose inhaler : 48
Fostair NEXThaler 100microg/dose / 6microg/dose dry pdr inh : 2
Beclometasone 100mcg/dose breath actuated inhaler CFC free : 1
Beclometasone 100microg/Formoterol 6microg/dose dry pdr inh : 1
Beclometasone 100microg/Formoterol 6microg/dose inh CFCfree : 9
Fostair 200micrograms/dose / 6micrograms/dose inhaler : 9
Qvar 50micrograms/dose Easi-Breathe inhaler : 4
Qvar 100 Autohaler : 13
Qvar 50 Autohaler : 8
Qvar 100micrograms/dose Easi-Breathe inhaler : 8
Beclometasone 50micrograms/dose inhaler CFC free : 3
Beclometasone 100micrograms/dose inhaler CFC free : 3
Easyhaler Beclometasone 200micrograms/dose dry pdr inhaler : 10
Beclometasone 200microg/Formoterol 6microg/dose dry pdr inh : 5
Clenil Modulite 250micrograms/dose inhaler : 5
Gentamicin sulfate 0 Aminoglycosides 1 0.00 0.72 0.44 -1.65
Spironolactone 190 Potassium-sparing diuretics and aldosterone antagonists 385 0.49 0.72 0.14 -1.64
Combined ethinylestradiol 30mcg 163 Combined hormonal contraceptives 235 0.69 0.81 0.07 -1.56