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.
BNF Chemical | Chemical Items | BNF Subparagraph | Subparagraph Items | Ratio | Mean | std | Z_Score | Plots |
---|---|---|---|---|---|---|---|---|
Ibuprofen sodium dihydrate | 2 | Non-steroidal anti-inflammatory drugs | 623 | 0.00 | 0.00 | 0.00 | 62.82 | |
Bempedoic acid | 4 | Lipid-regulating drugs | 2074 | 0.00 | 0.00 | 0.00 | 21.33 | |
Mexiletine hydrochloride | 4 | Drugs for arrhythmias | 32 | 0.12 | 0.00 | 0.01 | 9.89 | |
Phenol | 1 | Preparations for minor cuts and abrasions | 1 | 1.00 | 0.01 | 0.11 | 9.23 | |
Alendronic acid/colecalciferol | 4 | Bisphosphonates and other drugs | 93 | 0.04 | 0.00 | 0.01 | 8.05 | |
BNF Chemical | Chemical Items | BNF Subparagraph | Subparagraph Items | Ratio | Mean | std | Z_Score | Plots |
---|---|---|---|---|---|---|---|---|
Macrogol 3350 | 80 | Osmotic laxatives | 175 | 0.46 | 0.70 | 0.10 | -2.54 | |
CosmoCol Lemon and Lime Flavour oral powder sachets : 1 CosmoCol Plain oral powder sachets : 1 Movicol oral powder 13.8g sachets lemon & lime : 23 CosmoCol Orange Flavour oral powder sachets : 3 Movicol Paediatric Plain oral powder 6.9g sachets : 17 Macrogol compound oral powder sachets NPF sugar free : 6 Laxido Orange oral powder sachets sugar free : 24 CosmoCol Paediatric oral powder 6.9g sachets : 5 | ||||||||
Codeine phosphate | 0 | Cough suppressants | 19 | 0.00 | 0.76 | 0.35 | -2.18 | |
Other multivitamin preparations | 13 | Multivitamin preparations | 35 | 0.37 | 0.81 | 0.21 | -2.11 | |
Clotrimazole | 5 | Antifungal preparations | 66 | 0.08 | 0.41 | 0.16 | -2.04 | |
Insulin aspart | 45 | Short-acting insulins | 81 | 0.56 | 0.79 | 0.12 | -2.01 | |