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Prototype Prescribing Outlier Dashboard for Dalston Medical Group

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 Dalston Medical Group is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Clemastine fumarate 1 Antihistamines 287 0.00 0.00 0.00 8.69
Acebutolol hydrochloride 16 Beta-adrenoceptor blocking drugs 3,297 0.00 0.00 0.00 8.22
Eflornithine monohydrate chloride 13 Shampoos and some other scalp preparations 45 0.29 0.02 0.03 7.89
Triamterene with loop diuretics 8 Potassium sparing diuretics and compounds 16 0.50 0.01 0.07 7.00
Orphenadrine hydrochloride 11 Antimuscarinic drugs used in parkinsonism 54 0.20 0.01 0.03 6.19
Tioconazole 12 Antifungal preparations 82 0.15 0.01 0.02 6.02
Xylometazoline hydrochloride 5 Topical nasal decongestants 5 1.00 0.11 0.20 4.52
Tolterodine 291 Drugs for urinary frequency enuresis and incontinence 573 0.51 0.14 0.09 4.36
Phentolamine/aviptadil 5 Drugs for erectile dysfunction 283 0.02 0.00 0.00 4.11
Naratriptan hydrochloride 37 Treatment of acute migraine 171 0.22 0.04 0.05 3.87

Prescribing where Dalston Medical Group is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Olanzapine 10 Antipsychotic drugs 330 0.03 0.22 0.09 -2.17
Levonorgestrel 0 Emergency contraception 1 0.00 0.61 0.31 -1.97
    Moxonidine 0 Centrally-acting antihypertensive drugs 70 0.00 0.65 0.33 -1.95
      Mirabegron 31 Drugs for urinary frequency enuresis and incontinence 573 0.05 0.23 0.09 -1.91
      Methylprednisolone acetate 0 Local corticosteroid injections 1 0.00 0.74 0.39 -1.89
        Sodium chloride 0 Topical nasal decongestants 5 0.00 0.54 0.30 -1.79
          Fluticasone propionate (Inhalation) 62 Corticosteroids (respiratory) 1,497 0.04 0.17 0.08 -1.67
          Ramipril 1,874 Angiotensin-converting enzyme inhibitors 4,486 0.42 0.69 0.17 -1.67
          Sodium picosulfate 0 Bowel cleansing preparations 2 0.00 0.69 0.43 -1.61
            Timolol 3 Treatment of glaucoma 493 0.01 0.06 0.03 -1.61