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Prototype Prescribing Outlier Dashboard for The New Coningsby Surgery

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. These pilot results are provided for the interest of advanced users, although we don't know how relevant they are in practice. 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.

The DataLab is keen to hear your feedback on the results. You can do this by completing the following survey or emailing us at [email protected]. Please DO NOT INCLUDE IDENTIFIABLE PATIENT information in your feedback. All feedback is helpful, you can send short or detailed feedback.

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, the count of all prescriptions within that chemical's BNF subparagraph, for prescriptions dispensed between June 2021 and December 2021. We then calculate the ratio of these counts along with the mean and standard deviation of those ratios across all Practices. From this we can calculate the “z-score”, which is a measure of how many standard deviations a given Practice is from the population mean. We then rank your “z-scores” to find the top 10 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.

For each outlier chemical, a kernel density estimation plot of all Practice's chemical:subparagraph ratios is provided, with this Practice's ratio overlaid in red.

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, to inform research on this topic. Our full analytical method code is openly available on GitHub here.

This is a new, experimental feature. We'd love to .

Prescribing where The New Coningsby Surgery is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Ciprofibrate 159 Lipid-regulating drugs 11,273 0.01 0.00 0.00 20.82
Benzalkonium chloride 1 Barrier preparations 1 1.00 0.05 0.14 6.77
Hamamalis 8 Other anti-inflammatory preparations 127 0.06 0.00 0.01 6.37
Amiloride hydrochloride 121 Potassium-sparing diuretics and aldosterone antagonists 558 0.22 0.03 0.04 4.62
Almotriptan 42 Treatment of acute migraine 394 0.11 0.01 0.02 4.16
Duloxetine hydrochloride 689 Other antidepressant drugs 1,669 0.41 0.15 0.07 3.48
Paraffin soft yellow 20 Tear deficiency, eye lubricant/astringent 321 0.06 0.01 0.02 3.39
Irbesartan with diuretic 72 Angiotensin-II receptor antagonists 2,723 0.03 0.00 0.01 3.23
Fluvastatin sodium 82 Lipid-regulating drugs 11,273 0.01 0.00 0.00 3.10
Magnesium hydroxide 2 Osmotic laxatives 1,333 0.00 0.00 0.00 3.04

Prescribing where The New Coningsby Surgery is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Ivermectin 1 Topical preparation for rosacea 4 0.25 0.88 0.22 -2.82
Spironolactone 246 Potassium-sparing diuretics and aldosterone antagonists 558 0.44 0.72 0.14 -2.02
Procyclidine hydrochloride 9 Antimuscarinic drugs used in parkinsonism 21 0.43 0.85 0.21 -2.02
Sertraline hydrochloride 1,460 Selective serotonin re-uptake inhibitors 5,084 0.29 0.46 0.09 -1.97
Nicotine 0 Nicotine dependence 11 0.00 0.65 0.33 -1.95
    Ketoconazole 23 Shampoos and some other scalp preparations 111 0.21 0.50 0.15 -1.91
    Baclofen 157 Skeletal muscle relaxants 323 0.49 0.83 0.18 -1.88
    Mirtazapine 624 Other antidepressant drugs 1,669 0.37 0.57 0.10 -1.84
    Vitamin E 0 Vitamin E 8 0.00 0.72 0.41 -1.76
      Folic acid 432 Drugs used in megaloblastic anaemias 1,033 0.42 0.69 0.16 -1.75