Static outliers for Cygnet East Riding PCN

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 Cygnet East Riding PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Dextromethorphan hydrobrom compound prepartions 1 Expectorant and demulcent cough preparations 18 0.06 0.00 0.00 20.32
Oils for the ear 4 Removal of ear wax and other substances 7 0.57 0.01 0.06 9.55
Bempedoic acid/Ezetimibe 5 Lipid-regulating drugs 36788 0.00 0.00 0.00 4.67
Triamterene with loop diuretics 15 Potassium sparing diuretics and compounds 89 0.17 0.01 0.03 4.61
Timolol 90 Beta-adrenoceptor blocking drugs 20576 0.00 0.00 0.00 3.94

Prescribing where Cygnet East Riding PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Mirtazapine 2301 Other antidepressant drugs 6132 0.38 0.56 0.07 -2.65
Urea hydrogen peroxide 2 Removal of ear wax and other substances 7 0.29 0.83 0.26 -2.11
Salbutamol 8795 Selective beta(2)-agonists 10448 0.84 0.90 0.03 -1.94
Salbutamol 100micrograms/dose inhaler CFC free : 7136
Salbutamol 200micrograms/dose dry powder inhaler : 3
Salbutamol 2.5mg/2.5ml nebuliser liquid unit dose vials : 73
Salbutamol 5mg/2.5ml nebuliser liquid unit dose vials : 67
Salbutamol 2mg/5ml oral solution sugar free : 15
Salbutamol 100micrograms/dose breath actuated inh CFC free : 373
Ventolin 200micrograms/dose Accuhaler : 99
Ventolin 100micrograms/dose Evohaler : 488
Ventolin 2mg/5ml syrup : 1
Ventolin 2.5mg Nebules : 7
Salamol 100micrograms/dose inhaler CFC free (Teva) : 47
Salamol 100micrograms/dose Easi-Breathe inhaler : 287
Airomir 100micrograms/dose inhaler : 1
Airomir 100micrograms/dose Autohaler : 152
Easyhaler Salbutamol sulfate 100micrograms/dose dry pdr inh : 29
Easyhaler Salbutamol sulfate 200micrograms/dose dry pdr inh : 15
Salbulin Novolizer 100micrograms/dose inhalation powder : 2
Benzoyl peroxide and clindamycin phosphate 122 Topical preparations for acne 546 0.22 0.37 0.08 -1.92
Combined ethinylestradiol 35mcg 25 Combined hormonal contraceptives 1302 0.02 0.06 0.02 -1.75