Static outliers for Darwen Healthcare

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.

Prescribing where Darwen Healthcare is higher than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Other mouth wash, gargle and dentifrice preparations 7 Mouth-washes, gargles and dentifrices 10 0.70 0.00 0.03 24.60
Capsaicin 202 Rubefacients, topical NSAIDS, capsaicin and poultice 695 0.29 0.05 0.05 4.77
Vortioxetine 184 Other antidepressant drugs 2188 0.08 0.01 0.02 4.10
Ramipril with calcium channel blocker 13 Angiotensin-converting enzyme inhibitors 5039 0.00 0.00 0.00 3.68
Pramipexole 272 Dopaminergic drugs used in parkinsonism 518 0.53 0.12 0.12 3.45

Prescribing where Darwen Healthcare is lower than most

BNF Chemical Chemical Items BNF Subparagraph Subparagraph Items Ratio Mean std Z_Score Plots
Chlorhexidine gluconate 3 Mouth-washes, gargles and dentifrices 10 0.30 0.97 0.11 -6.40
Ciprofloxacin 22 Quinolones 39 0.56 0.86 0.15 -1.98
Tamsulosin hydrochloride 620 Drugs for urinary retention 770 0.81 0.92 0.06 -1.85
Hydralazine hydrochloride 3 Vasodilator antihypertensive drugs 9 0.33 0.85 0.28 -1.83
Fluticasone propionate (Inhalation) 122 Corticosteroids (respiratory) 2988 0.04 0.18 0.08 -1.69
Sirdupla 25micrograms/dose / 250micrograms/dose inhaler : 31
Fluticasone propionate 100micrograms/dose dry powder inhaler : 2
Fluticasone propionate 250microg/Salmeterol 50microg/dose : 2
Fluticasone propionate 250micrograms/dose dry powder inhaler : 1
Flixotide 50micrograms/dose Accuhaler : 1
Flutiform 125micrograms/dose / 5micrograms/dose inhaler : 1
Aloflute 25micrograms/dose / 250micrograms/dose inhaler : 1
Seretide 125 Evohaler : 9
Seretide 500 Accuhaler : 8
Fluticasone propionate 500micrograms/dose dry powder inhaler : 3
Fluticasone 125mcg/dose / Salmeterol 25mcg/dose inh CFC free : 3
Flixotide 50micrograms/dose Evohaler : 3
Sirdupla 25micrograms/dose / 125micrograms/dose inhaler : 12
Seretide 50 Evohaler : 15
Fluticasone 50microg / Salmeterol 25microg/dose inh CFC free : 10
Seretide 250 Accuhaler : 10
Seretide 250 Evohaler : 5
Sereflo 25micrograms/dose / 125micrograms/dose inhaler : 5