Static outliers for Winchester Rural North & East PCN

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. 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.

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 using the BNF subparagraph as a denominator, for prescriptions dispensed between April 2021 and August 2021. We then calculate the mean and standard deviation for each numerator and denominator pair across all practices/CCGs/PCNs/STPs. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given practice/CCG/PCN/STP is from the population mean. We then rank your “z-scores” to find the top 5 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.

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. Our full analytical method code is openly available on GitHub here.

The DataLab is keen to hear your feedback on the results. You can do this by completing the following survey or emailing us at ebmdatalab@phc.ox.ac.uk. Please DO NOT INCLUDE IDENTIFIABLE PATIENT information in your feedback. All feedback is helpful, you can send short or detailed feedback.

Prescribing where Winchester Rural North & East PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Alendronic acid/colecalciferol 108 Bisphosphonates and other drugs 3051 0.04 0.0 0.00 17.49
Diclofenac sodium 90 Rubefacients, topical NSAIDS, capsaicin and poultice 1674 0.05 0.0 0.01 9.82
Other vaginal/vulva changes preparations 1 Preparations for vaginal/vulval changes 2172 0.00 0.0 0.00 8.70
Voriconazole 6 Triazole antifungals 188 0.03 0.0 0.00 8.53
Magnesium hydroxide 8 Osmotic laxatives 3435 0.00 0.0 0.00 5.49

Prescribing where Winchester Rural North & East PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Levothyroxine sodium 13546 Thyroid hormones 13653 0.99 1.00 0.00 -3.42
Aluminium chloride 6 Antiperspirants 7 0.86 0.99 0.04 -3.02
Loperamide hydrochloride 540 Antimotility drugs 549 0.98 1.00 0.01 -2.55
Coal tar 78 Shampoos and some other scalp preparations 348 0.22 0.40 0.09 -2.07
Alendronic acid 2216 Bisphosphonates and other drugs 3051 0.73 0.87 0.07 -1.92