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Prototype Prescribing Outlier Dashboard for Tilbury And Chadwell PCN

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 PCNs. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given PCN 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 PCN's chemical:subparagraph ratios is provided, with this PCN'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 Tilbury And Chadwell PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Voriconazole 8 Triazole antifungals 120 0.07 0.00 0.00 17.89
Glycopyrronium bromide 4 Antiperspirants 8 0.50 0.01 0.04 13.49
Paraffin soft white 13 Emollients 711 0.02 0.00 0.00 7.07
Tropicamide 8 Mydriatics and cycloplegics 21 0.38 0.02 0.06 5.59
Risperidone 6 Antipsychotic depot injections 6 1.00 0.08 0.17 5.42
Ibuprofen lysine 12 Non-steroidal anti-inflammatory drugs 2,781 0.00 0.00 0.00 5.29
Prednisolone sodium metasulphobenzoate 26 Corticosteroids 31 0.84 0.15 0.14 5.08
Oestrogens conjugated 124 Oestrogens and Hormone Replacement Therapy 896 0.14 0.04 0.02 4.78
Calamine 9 Topical local anaesthetics and antipruritics 14 0.64 0.11 0.11 4.71
Betaine anhydrous 6 Drugs used in metabolic disorders 6 1.00 0.05 0.21 4.44

Prescribing where Tilbury And Chadwell PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Aluminium chloride 4 Antiperspirants 8 0.50 0.99 0.04 -13.15
Budesonide 5 Corticosteroids 31 0.16 0.72 0.18 -3.18
Salbutamol 8,516 Selective beta(2)-agonists 10,543 0.81 0.90 0.03 -3.04
Spironolactone 717 Potassium-sparing diuretics and aldosterone antagonists 1,616 0.44 0.72 0.10 -2.88
Zopiclone 715 Hypnotics 1,875 0.38 0.61 0.09 -2.61
Vitamin A 0 Vitamin A 1 0.00 0.82 0.32 -2.58
    Cefalexin 155 Cephalosporins 186 0.83 0.96 0.05 -2.40
    Water for injection 19 Electrolytes and water 43 0.44 0.82 0.16 -2.38
    Vitamin E 0 Vitamin E 1 0.00 0.73 0.33 -2.23
      Crotamiton 0 Topical local anaesthetics and antipruritics 14 0.00 0.33 0.15 -2.23