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Prototype Prescribing Outlier Dashboard for Brunel 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 Brunel Medical Practice is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Indoramin 70 Drugs for urinary retention 1,747 0.04 0.00 0.01 4.33
Glutaraldehyde 3 Preparations for warts and calluses 13 0.23 0.01 0.05 4.17
Tars 31 Preparations for psoriasis 148 0.21 0.04 0.04 4.16
Dulaglutide 540 Other antidiabetic drugs 2,185 0.25 0.06 0.05 3.57
Triptorelin 127 Prostate cancer and gonadorelin analogues 225 0.56 0.09 0.16 3.07
Pravastatin sodium 1,264 Lipid-regulating drugs 17,003 0.07 0.03 0.02 2.81
Disulfiram 33 Alcohol dependence 33 1.00 0.16 0.30 2.78
Canagliflozin 484 Other antidiabetic drugs 2,185 0.22 0.05 0.06 2.74
Rizatriptan 173 Treatment of acute migraine 563 0.31 0.10 0.08 2.70
Lisinopril 5,043 Angiotensin-converting enzyme inhibitors 9,126 0.55 0.18 0.14 2.64

Prescribing where Brunel Medical Practice is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Acamprosate calcium 0 Alcohol dependence 33 0.00 0.83 0.31 -2.69
    Glycopyrronium bromide 0 Antimuscarinic drugs 64 0.00 0.82 0.35 -2.34
      Mesalazine (Systemic) 173 Aminosalicylates 509 0.34 0.65 0.15 -2.12
      Co-amilofruse (Amiloride hydrochloride/frusemide) 0 Potassium sparing diuretics and compounds 9 0.00 0.69 0.33 -2.10
        Ferrous fumarate 115 Oral iron 975 0.12 0.57 0.23 -1.93
        Salbutamol 3,613 Selective beta(2)-agonists 4,384 0.82 0.91 0.04 -1.85
        Ramipril 3,552 Angiotensin-converting enzyme inhibitors 9,126 0.39 0.69 0.17 -1.84
        Calcipotriol 108 Preparations for psoriasis 148 0.73 0.87 0.08 -1.76
        Umeclidinium bromide/vilanterol 13 Compound bronchodilator preparations 512 0.03 0.50 0.30 -1.60
        Procyclidine hydrochloride 43 Antimuscarinic drugs used in parkinsonism 83 0.52 0.85 0.21 -1.59