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Prototype Prescribing Outlier Dashboard for Bridgedale South Ribble 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 Bridgedale South Ribble PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Humpapvirus(Type 6,11,16,18,31,33,45,52,58) 1 Vaccines and antisera 191 0.01 0.00 0.00 29.15
Salicylic acid 2 Drugs for oral ulceration and inflammation 49 0.04 0.00 0.00 23.11
Loprazolam mesilate 54 Hypnotics 1,229 0.04 0.00 0.00 13.43
Pneumococcal 42 Vaccines and antisera 191 0.22 0.02 0.02 9.00
Antazoline 9 Other anti-inflammatory preparations 85 0.11 0.01 0.01 7.52
Levocetirizine 124 Antihistamines 3,048 0.04 0.00 0.00 7.36
Esomeprazole 3,357 Proton pump inhibitors 25,588 0.13 0.03 0.02 5.90
Lodoxamide trometamol 9 Other anti-inflammatory preparations 85 0.11 0.02 0.02 5.24
Terbutaline sulphate 557 Selective beta(2)-agonists 8,240 0.07 0.02 0.01 4.93
Fluticasone propionate (Nasal) 923 Drugs used in nasal allergy 2,517 0.37 0.13 0.06 4.30

Prescribing where Bridgedale South Ribble PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Ketoconazole 34 Shampoos and some other scalp preparations 156 0.22 0.50 0.08 -3.41
Sodium cromoglicate 24 Other anti-inflammatory preparations 85 0.28 0.64 0.12 -3.12
Salbutamol 6,658 Selective beta(2)-agonists 8,240 0.81 0.90 0.03 -3.03
Influenza 144 Vaccines and antisera 191 0.75 0.96 0.07 -2.94
Fluconazole 133 Triazole antifungals 200 0.66 0.86 0.07 -2.91
Insulin aspart 471 Short-acting insulins 817 0.58 0.79 0.09 -2.52
Benzydamine hydrochloride 33 Drugs for oral ulceration and inflammation 49 0.67 0.85 0.08 -2.32
Zinc sulfate monohydrate 0 Zinc 9 0.00 0.74 0.33 -2.26
    Risperidone 132 Antipsychotic drugs 2,111 0.06 0.15 0.04 -2.11
    Clotrimazole 183 Vaginal and vulval infections 229 0.80 0.90 0.05 -2.11