Skip to main content

Prototype Prescribing Outlier Dashboard for Raj Medical Centre

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 Raj Medical Centre is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Loprazolam mesilate 25 Hypnotics 169 0.15 0.00 0.01 22.37
Hamamalis 7 Other anti-inflammatory preparations 41 0.17 0.00 0.01 17.54
Tetracycline 32 Tetracyclines 199 0.16 0.01 0.01 15.31
Naphazoline hydrochloride 3 Other anti-inflammatory preparations 41 0.07 0.00 0.01 13.46
Rabeprazole sodium 207 Proton pump inhibitors 4,908 0.04 0.00 0.01 5.87
Empagliflozin/linagliptin 7 Other antidiabetic drugs 960 0.01 0.00 0.00 5.66
Ropinirole hydrochloride 68 Dopaminergic drugs used in parkinsonism 86 0.79 0.15 0.11 5.55
Other mouth wash, gargle and dentifrice preparations 5 Mouth-washes, gargles and dentifrices 30 0.17 0.00 0.03 5.13
Medroxyprogesterone acetate 18 Progestogens and progesterone receptor modulators 25 0.72 0.13 0.13 4.35
Beclometdiprop/formoterol/glycopyrronium 862 Selective beta(2)-agonists 3,797 0.23 0.06 0.04 4.02

Prescribing where Raj Medical Centre is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Salbutamol 2,905 Selective beta(2)-agonists 3,797 0.77 0.91 0.04 -3.17
Neomycin sulfate 9 Nasal preparations for infection 22 0.41 0.84 0.14 -3.13
Ivermectin 1 Topical preparation for rosacea 3 0.33 0.88 0.22 -2.45
Allopurinol 266 Gout and cytotoxic induced hyperiuicaemia 345 0.77 0.90 0.05 -2.43
Prucalopride 0 Other drugs used in constipation 3 0.00 0.71 0.32 -2.19
    Co-amilofruse (Amiloride hydrochloride/frusemide) 0 Potassium sparing diuretics and compounds 8 0.00 0.69 0.33 -2.10
      Progesterone 0 Progestogens and progesterone receptor modulators 25 0.00 0.53 0.27 -1.96
        Moxonidine 0 Centrally-acting antihypertensive drugs 11 0.00 0.65 0.33 -1.95
          Amlodipine 1,307 Calcium-channel blockers 2,422 0.54 0.76 0.11 -1.92
          Lymecycline 6 Tetracyclines 199 0.03 0.24 0.12 -1.82