Skip to main content

Prototype Prescribing Outlier Dashboard for Carterknowle & Dore 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 Carterknowle & Dore Medical Practice is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Phenylbutazone 3 Non-steroidal anti-inflammatory drugs 858 0.00 0.00 0.00 47.69
Tolvaptan 8 Posterior pituitary hormones and antagonists 63 0.13 0.00 0.01 14.52
Low protein cereals 30 Foods for special diets 348 0.09 0.00 0.01 11.01
Fluticasone propionate (Topical) 9 Topical corticosteroids 1,454 0.01 0.00 0.00 4.00
Low protein mixes 35 Foods for special diets 348 0.10 0.01 0.02 3.83
Insulin Lispro 152 Short-acting insulins 282 0.54 0.16 0.10 3.73
Lormetazepam 15 Hypnotics 722 0.02 0.00 0.01 3.67
Gluten free/low protein bread 27 Foods for special diets 348 0.08 0.01 0.02 3.44
Ins degludec/liraglutide 24 Other antidiabetic drugs 1,397 0.02 0.00 0.00 3.18
Adapalene 86 Topical preparations for acne 268 0.32 0.11 0.07 3.04

Prescribing where Carterknowle & Dore Medical Practice is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Desmopressin acetate 55 Posterior pituitary hormones and antagonists 63 0.87 1.00 0.01 -14.52
Insulin aspart 125 Short-acting insulins 282 0.44 0.79 0.11 -3.07
Amoxicillin 455 Broad-spectrum penicillins 679 0.67 0.85 0.07 -2.71
Codeine phosphate 0 Cough suppressants 1 0.00 0.74 0.33 -2.22
    Insulin glargine 40 Intermediate and long-acting insulins 556 0.07 0.33 0.13 -1.97
    Methylprednisolone acetate 0 Local corticosteroid injections 78 0.00 0.74 0.39 -1.89
      Sodium picosulfate 0 Bowel cleansing preparations 1 0.00 0.69 0.43 -1.61
        Morphine sulfate 141 Opioid analgesics 1,776 0.08 0.20 0.08 -1.60
        Tacrolimus 0 Corticosteroids and other immunosuppressants 13 0.00 0.63 0.40 -1.58
          Ferrous fumarate 182 Oral iron 892 0.20 0.57 0.23 -1.57