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Prototype Prescribing Outlier Dashboard for Whitley Bay Health 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 Whitley Bay Health Centre is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Flavoxate hydrochloride 68 Drugs for urinary frequency enuresis and incontinence 1,162 0.06 0.00 0.01 10.27
Azithromycin 10 Antibacterials 168 0.06 0.00 0.01 9.03
Tioconazole 22 Antifungal preparations 164 0.13 0.01 0.02 5.49
Dabigatran etexilate 294 Oral anticoagulants 2,551 0.12 0.02 0.02 4.96
Solifenacin/tamsulosin 55 Drugs for urinary retention 749 0.07 0.01 0.01 4.63
Dronedarone hydrochloride 24 Drugs for arrhythmias 80 0.30 0.02 0.06 4.52
Balsalazide sodium 55 Aminosalicylates 335 0.16 0.02 0.03 4.43
Tafluprost 50 Treatment of glaucoma 958 0.05 0.01 0.01 4.33
Acarbose 10 Other antidiabetic drugs 478 0.02 0.00 0.00 4.01
Other soothing haemorrhoidal preparations 3 Soothing haemorrhoidal preparations 21 0.14 0.00 0.04 3.67

Prescribing where Whitley Bay Health Centre is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Folic acid 411 Drugs used in megaloblastic anaemias 2,078 0.20 0.69 0.16 -3.15
Glycopyrronium bromide 0 Antimuscarinic drugs 13 0.00 0.82 0.35 -2.34
    Fluconazole 70 Triazole antifungals 127 0.55 0.85 0.13 -2.25
    Rifampicin 0 Antituberculosis drugs 8 0.00 0.74 0.40 -1.88
      Amoxicillin 1,081 Broad-spectrum penicillins 1,483 0.73 0.85 0.07 -1.84
      Hypromellose 120 Tear deficiency, eye lubricant/astringent 702 0.17 0.45 0.15 -1.84
      Zinc oxide 7 Soothing haemorrhoidal preparations 21 0.33 0.77 0.26 -1.71
      Benzoyl peroxide and clindamycin phosphate 22 Topical preparations for acne 145 0.15 0.38 0.13 -1.66
      Calcium carbonate 55 Calcium supplements 74 0.74 0.95 0.13 -1.58
      Insulin glargine 53 Intermediate and long-acting insulins 428 0.12 0.33 0.13 -1.57