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Prototype Prescribing Outlier Dashboard for Wimborne & Ferndown PCN

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 PCNs. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given PCN 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 PCN's chemical:subparagraph ratios is provided, with this PCN'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 Wimborne & Ferndown PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Urine testing reagents 229 Diabetic diagnostic and monitoring agents 2,743 0.08 0.01 0.01 6.00
Flupentixol hydrochloride 67 Antipsychotic drugs 2,737 0.02 0.00 0.00 5.77
Dexamethasone phosphate 46 Use of corticosteroids 3,872 0.01 0.00 0.00 5.48
Selegiline hydrochloride 87 Dopaminergic drugs used in parkinsonism 2,267 0.04 0.01 0.01 4.30
Ciclesonide 162 Corticosteroids (respiratory) 9,762 0.02 0.00 0.00 4.20
Levomepromazine hydrochloride 170 Antipsychotic drugs 2,737 0.06 0.01 0.01 4.12
Benzalkonium chloride 81 Shampoos and some other scalp preparations 496 0.16 0.04 0.03 4.12
Magnesium hydroxide 33 Antacids and simeticone 64 0.52 0.04 0.12 4.04
Meloxicam 912 Non-steroidal anti-inflammatory drugs 5,500 0.17 0.04 0.03 3.91
Clomifene citrate 2 Hypothalamic & anterior pituitary hormone & antioestrogens 2 1.00 0.09 0.23 3.88

Prescribing where Wimborne & Ferndown PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Somatropin 0 Hypothalamic & anterior pituitary hormone & antioestrogens 2 0.00 0.89 0.25 -3.54
    Glucose blood testing reagents 2,417 Diabetic diagnostic and monitoring agents 2,743 0.88 0.94 0.02 -2.60
    Naproxen 3,017 Non-steroidal anti-inflammatory drugs 5,500 0.55 0.69 0.06 -2.27
    Ferrous fumarate 354 Oral iron 2,510 0.14 0.57 0.20 -2.17
    Mercaptopurine 99 Antimetabolites 427 0.23 0.81 0.27 -2.11
    Losartan potassium 2,136 Angiotensin-II receptor antagonists 10,953 0.20 0.50 0.16 -1.96
    Sodium chloride 34 Topical nasal decongestants 154 0.22 0.54 0.18 -1.81
    Amlodipine 9,231 Calcium-channel blockers 15,344 0.60 0.75 0.08 -1.80
    Cyclizine hydrochloride 251 Drugs used in nausea and vertigo 2,665 0.09 0.17 0.04 -1.76
    Midazolam hydrochloride 11 Drugs used in status epilepticus 22 0.50 0.79 0.17 -1.70