Static outliers for Knowsley Central And South 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 Knowsley Central And South PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Tretinoin 1 Topical preparations for acne 673 0.00 0.00 0.00 4.63
Chlorpromazine hydrochloride 511 Antipsychotic drugs 6654 0.08 0.02 0.02 3.62
Darifenacin hydrobromide 495 Drugs for urinary frequency enuresis and incontinence 4721 0.10 0.01 0.03 3.47
Acetylcysteine 722 Mucolytics 2715 0.27 0.02 0.07 3.25
Alverine citrate 482 Antispasmodic and other drugs altering gut motility 3348 0.14 0.04 0.03 3.24

Prescribing where Knowsley Central And South PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Carbocisteine 1976 Mucolytics 2715 0.73 0.97 0.08 -3.18
Rifampicin 0 Antituberculosis drugs 5 0.00 0.74 0.35 -2.12
Prucalopride 70 Other drugs used in constipation 206 0.34 0.73 0.19 -2.07
Macrogol 3350 3046 Osmotic laxatives 5313 0.57 0.72 0.07 -2.04
Macrogol compound oral powder sachets NPF sugar free : 622
Macrogol compound half-strength oral pdr sach NPF sugar free : 2
Macrogol compound oral liquid 25ml sachets NPF sugar free : 6
Macrogol 3350 oral powder 8.5g sachets sugar free : 7
Movicol oral powder 13.8g sachets lemon & lime : 334
Movicol-Half oral powder 6.9g sachets : 10
Movicol Plain oral powder 13.7g sachets : 104
Movicol Chocolate oral powder 13.9g sachets : 6
Movicol Liquid : 6
Movicol Paediatric Plain oral powder 6.9g sachets : 340
Movicol Paediatric Chocolate oral powder 6.9g sachets : 10
Laxido Orange oral powder sachets sugar free : 1545
Laxido Paediatric Plain oral powder 6.9g sachets : 39
CosmoCol Orange Lemon and Lime oral powder sachets : 1
CosmoCol Orange Flavour oral powder sachets : 4
CosmoCol Lemon and Lime Flavour oral powder sachets : 7
CosmoCol Paediatric oral powder 6.9g sachets : 3
Prednisolone 1658 Use of corticosteroids 2026 0.82 0.88 0.03 -1.97