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Prototype Prescribing Outlier Dashboard for Minehead Medical Centre

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 Minehead Medical Centre is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Titanium dioxide 6 Sunscreening preparations 89 0.07 0.00 0.00 14.96
Squill 1 Expectorant and demulcent cough preparations 4 0.25 0.00 0.02 11.94
Diclofenac potassium 57 Non-steroidal anti-inflammatory drugs 1,495 0.04 0.00 0.00 11.49
Evolocumab 2 Lipid-regulating drugs 10,829 0.00 0.00 0.00 9.69
Methenamine hippurate 389 Urinary-tract infections 866 0.45 0.04 0.06 6.97
Rutosides 8 Peripheral vasodilators and related drugs 8 1.00 0.06 0.19 4.97
Denosumab 120 Bisphosphonates and other drugs 1,285 0.09 0.01 0.02 4.52
Lacidipine 957 Calcium-channel blockers 7,559 0.13 0.01 0.03 4.20
Levomepromazine hydrochloride 87 Antipsychotic drugs 1,498 0.06 0.01 0.02 3.01
Methocarbamol 137 Skeletal muscle relaxants 291 0.47 0.08 0.15 2.57

Prescribing where Minehead Medical Centre is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Nitrofurantoin 477 Urinary-tract infections 866 0.55 0.96 0.06 -6.97
Neomycin sulfate 35 Nasal preparations for infection 70 0.50 0.84 0.14 -2.46
Trimethoprim 105 Sulfonamides and trimethoprim 173 0.61 0.87 0.12 -2.15
Permethrin 18 Parasiticidal preparations 51 0.35 0.83 0.24 -1.99
Mercaptopurine 14 Antimetabolites 107 0.13 0.80 0.35 -1.94
Salicylic acid 1 Preparations for warts and calluses 13 0.08 0.67 0.31 -1.92
Methylprednisolone acetate 0 Local corticosteroid injections 21 0.00 0.74 0.39 -1.89
    Baclofen 147 Skeletal muscle relaxants 291 0.51 0.83 0.18 -1.78
    Naftidrofuryl oxalate 0 Peripheral vasodilators and related drugs 8 0.00 0.67 0.39 -1.73
      Lactulose 196 Osmotic laxatives 1,622 0.12 0.28 0.10 -1.65