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Prototype Prescribing Outlier Dashboard for Henley Green 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 Henley Green Medical Centre is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Enzalutamide 4 Prostate cancer and gonadorelin analogues 72 0.06 0.00 0.00 48.81
Co-danthramer (Dantron/poloxamer 188) 8 Stimulant laxatives 358 0.02 0.00 0.00 16.96
Fluocinonide 21 Topical corticosteroids 633 0.03 0.00 0.00 12.35
Diazoxide 7 Treatment of hypoglycaemia 42 0.17 0.00 0.03 4.99
Carmellose sodium 222 Tear deficiency, eye lubricant/astringent 364 0.61 0.15 0.11 4.33
Chlorothiazide 6 Thiazides and related diuretics 1,119 0.01 0.00 0.00 3.73
Galantamine 15 Drugs for dementia 64 0.23 0.03 0.06 3.45
Flupentixol hydrochloride 90 Other antidepressant drugs 2,029 0.04 0.01 0.01 3.17
Aluminium and magnesium and activated simeticone 9 Antacids and simeticone 9 1.00 0.15 0.29 2.92
Vigabatrin 15 Control of epilepsy 3,224 0.00 0.00 0.00 2.81

Prescribing where Henley Green Medical Centre is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Fluconazole 20 Triazole antifungals 39 0.51 0.85 0.13 -2.54
Mercaptopurine 0 Antimetabolites 16 0.00 0.80 0.35 -2.32
    Ispaghula husk 48 Bulk-forming laxatives 60 0.80 0.96 0.07 -2.26
    Memantine hydrochloride 0 Drugs for dementia 64 0.00 0.38 0.18 -2.13
      Co-amilofruse (Amiloride hydrochloride/frusemide) 0 Potassium sparing diuretics and compounds 7 0.00 0.69 0.33 -2.10
        Mupirocin 0 Antibacterial preparations only used topically 8 0.00 0.64 0.36 -1.79
          Estradiol 18 Preparations for vaginal/vulval changes 92 0.20 0.55 0.20 -1.71
          Fluorouracil (Sunscreen) 0 Sunscreening preparations 16 0.00 0.45 0.29 -1.55
            Glyceryl trinitrate 42 Nitrates 373 0.11 0.27 0.10 -1.49
            Fluticasone propionate (Nasal) 10 Drugs used in nasal allergy 513 0.02 0.13 0.07 -1.46