Skip to main content

Prototype Prescribing Outlier Dashboard for Wallace House

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 Wallace House is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Xylometazoline hydrochloride/ipratropium bromide 1 Topical nasal decongestants 19 0.05 0.00 0.00 22.58
Hepatitis A/typhoid vaccine 6 Vaccines and antisera 84 0.07 0.00 0.01 6.34
Cefaclor 15 Cephalosporins 97 0.15 0.01 0.03 5.27
Triamterene with thiazides 7 Potassium sparing diuretics and compounds 120 0.06 0.00 0.01 4.90
Aspirin 47 Non-opioid analgesics and compound preparations 3,515 0.01 0.00 0.00 4.59
Fluticasone propionate (Topical) 8 Topical corticosteroids 1,350 0.01 0.00 0.00 3.82
Doxycycline hyclate 1 Drugs for oral ulceration and inflammation 16 0.06 0.00 0.02 3.68
Tolbutamide 29 Sulfonylureas 840 0.03 0.00 0.01 3.18
Paracetamol combined preparations 8 Non-opioid analgesics and compound preparations 3,515 0.00 0.00 0.00 3.12
Tolterodine 398 Drugs for urinary frequency enuresis and incontinence 992 0.40 0.14 0.09 3.11

Prescribing where Wallace House is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Clotrimazole 92 Vaginal and vulval infections 125 0.74 0.90 0.09 -1.94
Influenza 30 Vaccines and antisera 84 0.36 0.88 0.28 -1.85
Coal tar 17 Shampoos and some other scalp preparations 109 0.16 0.40 0.15 -1.63
Sodium picosulfate 0 Bowel cleansing preparations 9 0.00 0.69 0.43 -1.61
    Ferrous fumarate 159 Oral iron 706 0.23 0.57 0.23 -1.48
    Ivabradine 2 Other antianginal drugs 172 0.01 0.24 0.16 -1.40
    Magnesium aspartate 0 Magnesium 11 0.00 0.55 0.40 -1.38
      Permethrin 2 Parasiticidal preparations 4 0.50 0.83 0.24 -1.38
      Latanoprost 298 Treatment of glaucoma 1,530 0.19 0.31 0.08 -1.38
      Cetirizine hydrochloride 228 Antihistamines 1,696 0.13 0.28 0.11 -1.37