Static outliers for Central Liverpool 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 Central Liverpool PCN is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Mesna 1 Drugs for cytotoxic-induced side-effects 1 1.00 0.01 0.09 11.38
Pridinol mesilate 22 Skeletal muscle relaxants 979 0.02 0.00 0.00 6.86
Liquid paraffin 112 Tear deficiency, eye lubricant/astringent 1994 0.06 0.01 0.01 5.69
Prazosin hydrochloride 106 Alpha-adrenoceptor blocking drugs 2685 0.04 0.00 0.01 5.35
Naphazoline hydrochloride 11 Other anti-inflammatory preparations 948 0.01 0.00 0.00 4.64

Prescribing where Central Liverpool PCN is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Calcium folinate 0 Drugs for cytotoxic-induced side-effects 1 0.00 0.99 0.09 -11.38
Doxazosin mesilate 2509 Alpha-adrenoceptor blocking drugs 2685 0.93 0.99 0.01 -5.19
Other multivitamin preparations 1148 Multivitamin preparations 2938 0.39 0.80 0.14 -2.93
Glucose blood testing reagents 3092 Diabetic diagnostic and monitoring agents 3505 0.88 0.94 0.02 -2.74
OneTouch Verio testing strips : 30
OneTouch Select Plus testing strips : 23
FreeStyle Optium testing strips : 172
GlucoMen LX Sensor testing strips : 5
GlucoMen areo Sensor testing strips : 737
Active testing strips : 11
FreeStyle testing strips : 15
FreeStyle Lite testing strips : 31
Aviva testing strips : 183
WaveSense JAZZ testing strips : 62
Contour testing strips : 368
Mobile cassette : 204
GlucoRx Nexus testing strips : 157
GlucoRx HCT Glucose testing strips : 42
GlucoLab testing strips : 2
BGStar testing strips : 31
Contour Next testing strips : 162
MediTouch 2 testing strips : 3
Mylife Unio testing strips : 3
TEE2 testing strips : 77
Contour TS testing strips : 56
GluNEO testing strips : 113
Performa testing strips : 396
GlucoZen.auto testing strips : 5
Finetest Lite testing strips : 1
CareSens PRO testing strips : 4
4SURE testing strips : 5
Contour Plus testing strips : 189
Kinetik Wellbeing testing strips : 5
Cabergoline 41 Bromocriptine and other dopaminergic drugs 101 0.41 0.85 0.17 -2.67