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 |
---|---|---|---|---|---|---|---|---|
Measles, mumps and rubella vaccine | 2 | Vaccines and antisera | 11 | 0.18 | 0.00 | 0.01 | 26.35 | |
Dibrompropamidine isetionate | 2 | Antibacterials | 96 | 0.02 | 0.00 | 0.00 | 14.12 | |
Doxepin hydrochloride | 4 | Topical local anaesthetics and antipruritics | 14 | 0.29 | 0.01 | 0.05 | 5.05 | |
Lercanidipine hydrochloride | 1361 | Calcium-channel blockers | 3975 | 0.34 | 0.06 | 0.07 | 3.90 | |
Isophane insulin | 391 | Intermediate and long-acting insulins | 749 | 0.52 | 0.12 | 0.10 | 3.89 | |
Insulatard Penfill 100units/ml inj 3ml cartridges : 88 Insulatard InnoLet 100units/ml inj 3ml pre-filled pens : 127 Humulin I 100units/ml inj 3ml cartridges : 30 Humulin I KwikPen 100units/ml inj 3ml pre-filled pens : 131 Insulatard 100units/ml suspension for injection 10ml vials : 1 Insuman Basal 100units/ml inj 3ml pre-filled SoloStar pens : 14 |
BNF Chemical | Chemical Items | BNF Subparagraph | Subparagraph Items | Ratio | Mean | std | Z_Score | Plots |
---|---|---|---|---|---|---|---|---|
Urea hydrogen peroxide | 0 | Removal of ear wax and other substances | 2 | 0.00 | 0.83 | 0.34 | -2.47 | |
Glycopyrronium bromide | 0 | Antimuscarinic drugs | 44 | 0.00 | 0.82 | 0.36 | -2.30 | |
Mesalazine (Systemic) | 76 | Aminosalicylates | 239 | 0.32 | 0.64 | 0.15 | -2.20 | |
Mesalazine 1g/application foam enema : 2 Salofalk 3g gastro-resistant modified-release gran sachets : 2 Asacol 800mg MR gastro-resistant tablets : 4 Octasa 800mg MR gastro-resistant tablets : 18 Mesalazine 400mg gastro-resistant tablets : 3 Asacol 400mg MR gastro-resistant tablets : 3 Octasa 400mg MR gastro-resistant tablets : 12 Pentasa 500mg modified-release tablets : 11 Pentasa 1g modified-release tablets : 11 Pentasa 2g modified-release granules sachets : 5 Mezavant XL 1200mg tablets : 5 | ||||||||
Amlodipine | 2123 | Calcium-channel blockers | 3975 | 0.53 | 0.75 | 0.11 | -1.94 | |
Amoxicillin | 390 | Broad-spectrum penicillins | 589 | 0.66 | 0.81 | 0.09 | -1.74 | |