Blood glucose testing strips not included in NHS England commissioning recommendations

Below are the database queries which are used to create this measure. These are run against a copy of the BSA prescribing data which we store in Google BigQuery. We're working on making our BigQuery tables publicly available at which point it will be possible to run and modify these queries yourself. But even where code and database queries are not directly useable by others we believe it is always preferable to make them public.

Description Percentage of prescriptions for blood glucose testing strips (BGTS) not included in NHS England commissioning recommendations
Why it matters Many people with diabetes test their blood glucose levels, using a blood glucose meter, in order to help control their diabetes by adjusting diet and the dose of medicines. A drop of blood from the user’s finger is placed on a testing strip in order for the meter to analyse the glucose levels. A new strip is required each time, and is specific to a brand of meter.

In April 2023 NHS England published commissioning guidelines, recommending specific meters, test strips and lancets.

The NHS England National Medicines Optimisation Opportunities for 2023/24 identify promoting uptake of best value testing strips as an area for improvement.

Please note: OpenPrescribing.net measures also have a consistent way of visualising measures, where 'lower is better', and therefore in this case we show the proportion of prescriptions for strips which are NOT in the NHS commissioning recommendations.

Tags Diabetes, Standard, National medicines optimisation opportunities
Implies cost savings No
Authored by richard.croker
Checked by christopher.wood
Last reviewed 2023-09-10
Next review due 2025-09-10
History View change history on GitHub →

Numerator SQL

SELECT
     CAST(month AS DATE) AS month,
     practice AS practice_id,
     SUM(items) AS numerator
 FROM hscic.normalised_prescribing
 WHERE bnf_code IN ("0601060D0BHADA0", "0601060D0BHAEA0", "0601060D0BJACA0", "0601060D0BJADA0", "0601060D0BQACA0", "0601060D0BQAEA0", "0601060D0BTAAA0", "0601060D0BUAAA0", "0601060D0BVAAA0", "0601060D0BWAAA0", "0601060D0BWABA0", "0601060D0CBAAA0", "0601060D0CCAAA0", "0601060D0CEABA0", "0601060D0CFAAA0", "0601060D0CGAAA0", "0601060D0CGABA0", "0601060D0CGACA0", "0601060D0CKAAA0", "0601060D0CLAAA0", "0601060D0CNAAA0", "0601060D0CRAAA0", "0601060D0CSAAA0", "0601060D0CTAAA0", "0601060D0CUADA0", "0601060D0CUAEA0", "0601060D0CUAGA0", "0601060D0CVAAA0", "0601060D0CWAAA0", "0601060D0CXAAA0", "0601060D0CXABA0", "0601060D0CYAAA0", "0601060D0DBAAA0", "0601060D0DCAAA0", "0601060D0DDAAA0", "0601060D0DEAAA0", "0601060D0DFAAA0", "0601060D0DGAAA0", "0601060D0DHAAA0", "0601060D0DIAAA0", "0601060D0DIABA0", "0601060D0DJAAA0", "0601060D0DKAAA0", "0601060D0DLAAA0", "0601060D0DMAAA0", "0601060D0DNAAA0", "0601060D0DPAAA0", "0601060D0DQAAA0", "0601060D0DRAAA0", "0601060D0DTAAA0", "0601060D0DUAAA0", "0601060D0DVAAA0", "0601060D0DWAAA0", "0601060D0DYAAA0", "0601060D0DZAAA0", "0601060D0EBAAA0", "0601060D0ECAAA0", "0601060D0EFAAA0", "0601060D0EGAAA0", "0601060D0ELAAA0", "0601060D0EMAAA0", "0601060D0EPAAA0", "0601060D0EQAAA0", "0601060D0ERAAA0", "0601060D0ETAAA0", "0601060D0EWAAA0", "0601060D0EXAAA0", "0601060D0EYAAA0", "0601060D0EZAAA0", "0601060D0FBAAA0")
 GROUP BY month, practice_id

Denominator SQL

SELECT
     CAST(month AS DATE) AS month,
     practice AS practice_id,
     SUM(items) AS denominator
 FROM hscic.normalised_prescribing
 WHERE bnf_code IN ("0601060D0BHADA0", "0601060D0BHAEA0", "0601060D0BJACA0", "0601060D0BJADA0", "0601060D0BQACA0", "0601060D0BQAEA0", "0601060D0BTAAA0", "0601060D0BUAAA0", "0601060D0BVAAA0", "0601060D0BWAAA0", "0601060D0BWABA0", "0601060D0CBAAA0", "0601060D0CCAAA0", "0601060D0CEABA0", "0601060D0CFAAA0", "0601060D0CGAAA0", "0601060D0CGABA0", "0601060D0CGACA0", "0601060D0CIAAA0", "0601060D0CIABA0", "0601060D0CKAAA0", "0601060D0CLAAA0", "0601060D0CNAAA0", "0601060D0CRAAA0", "0601060D0CSAAA0", "0601060D0CTAAA0", "0601060D0CUAAA0", "0601060D0CUABA0", "0601060D0CUACA0", "0601060D0CUADA0", "0601060D0CUAEA0", "0601060D0CUAGA0", "0601060D0CVAAA0", "0601060D0CWAAA0", "0601060D0CXAAA0", "0601060D0CXABA0", "0601060D0CYAAA0", "0601060D0DBAAA0", "0601060D0DCAAA0", "0601060D0DDAAA0", "0601060D0DEAAA0", "0601060D0DFAAA0", "0601060D0DGAAA0", "0601060D0DHAAA0", "0601060D0DIAAA0", "0601060D0DIABA0", "0601060D0DJAAA0", "0601060D0DKAAA0", "0601060D0DLAAA0", "0601060D0DMAAA0", "0601060D0DNAAA0", "0601060D0DPAAA0", "0601060D0DQAAA0", "0601060D0DRAAA0", "0601060D0DTAAA0", "0601060D0DUAAA0", "0601060D0DVAAA0", "0601060D0DWAAA0", "0601060D0DYAAA0", "0601060D0DZAAA0", "0601060D0EBAAA0", "0601060D0ECAAA0", "0601060D0EDAAA0", "0601060D0EFAAA0", "0601060D0EGAAA0", "0601060D0EHAAA0", "0601060D0EJAAA0", "0601060D0EKAAA0", "0601060D0ELAAA0", "0601060D0EMAAA0", "0601060D0ENAAA0", "0601060D0EPAAA0", "0601060D0EQAAA0", "0601060D0ERAAA0", "0601060D0ETAAA0", "0601060D0EUAAA0", "0601060D0EVAAA0", "0601060D0EWAAA0", "0601060D0EXAAA0", "0601060D0EYAAA0", "0601060D0EZAAA0", "0601060D0FBAAA0", "0601060D0FCAAA0", "0601060D0FDAAA0", "0601060X0BBAAA0")
 GROUP BY month, practice_id
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