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Prototype Prescribing Outlier Dashboard for Pike Medical Practice

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. These pilot results are provided for the interest of advanced users, although we don't know how relevant they are in 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.

The DataLab is keen to hear your feedback on the results. You can do this by completing the following survey or emailing us at [email protected]. Please DO NOT INCLUDE IDENTIFIABLE PATIENT information in your feedback. All feedback is helpful, you can send short or detailed feedback.

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, the count of all prescriptions within that chemical's BNF subparagraph, for prescriptions dispensed between June 2021 and December 2021. We then calculate the ratio of these counts along with the mean and standard deviation of those ratios across all Practices. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given Practice is from the population mean. We then rank your “z-scores” to find the top 10 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.

For each outlier chemical, a kernel density estimation plot of all Practice's chemical:subparagraph ratios is provided, with this Practice's ratio overlaid in red.

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, to inform research on this topic. Our full analytical method code is openly available on GitHub here.

This is a new, experimental feature. We'd love to .

Prescribing where Pike Medical Practice is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Ferric maltol 7 Oral iron 210 0.03 0.00 0.00 9.03
Promazine hydrochloride 67 Antipsychotic drugs 232 0.29 0.01 0.04 7.35
Doxycycline monohydrate 4 Tetracyclines 85 0.05 0.00 0.01 6.38
Dorzolamide 47 Treatment of glaucoma 233 0.20 0.04 0.03 5.86
Opicapone 7 Dopaminergic drugs used in parkinsonism 69 0.10 0.01 0.02 5.69
Frovatriptan 8 Treatment of acute migraine 45 0.18 0.02 0.03 5.49
Felodipine 659 Calcium-channel blockers 1,302 0.51 0.08 0.08 5.11
Azelastine hydrochloride 8 Drugs used in nasal allergy 137 0.06 0.01 0.01 4.86
Lanthanum carbonate 2 Phosphate binding agents 2 1.00 0.07 0.19 4.82
Cyclizine hydrochloride 41 Drugs used in nausea and vertigo 82 0.50 0.17 0.07 4.54

Prescribing where Pike Medical Practice is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Amlodipine 529 Calcium-channel blockers 1,302 0.41 0.76 0.11 -3.10
Aciclovir 25 Herpes simplex and varicella-zoster 33 0.76 0.95 0.07 -2.95
Spironolactone 32 Potassium-sparing diuretics and aldosterone antagonists 99 0.32 0.72 0.14 -2.89
Folic acid 77 Drugs used in megaloblastic anaemias 319 0.24 0.69 0.16 -2.87
Chloramphenicol 26 Antibacterials 48 0.54 0.81 0.11 -2.47
Calcipotriol 31 Preparations for psoriasis 46 0.67 0.87 0.08 -2.46
Pizotifen malate 0 Prophylaxis of migraine 9 0.00 0.63 0.26 -2.46
    Sulfasalazine 0 Aminosalicylates 51 0.00 0.33 0.14 -2.33
      Prucalopride 0 Other drugs used in constipation 4 0.00 0.71 0.32 -2.19
        Ciprofloxacin 7 Quinolones 12 0.58 0.86 0.14 -2.02