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 | Number of prescriptions for long term prophylaxis (28 days or more) of urinary-tract infections per 1000 patients |
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Why it matters | |
Tags | |
Implies cost savings | No |
History | View change history on GitHub → |
SELECT
CAST(month AS DATE) AS month,
practice AS practice_id,
SUM(items) AS numerator
FROM hscic.raw_prescribing_normalised_date
WHERE (bnf_code LIKE '0501080W0%AD' AND quantity_per_item >=28) OR --Trimethoprim 100mg tablets (brands and generic)
(bnf_code LIKE '0501130R0%AA' AND quantity_per_item >=28) OR --Nitrofurantoin 50mg capsules (brands and generic)
(bnf_code LIKE '0501130R0%AD' AND quantity_per_item >=28) --Nitrofurantoin 50mg tablets (brands and generic)
GROUP BY month, practice_id
SELECT
CAST(month AS DATE) AS month,
practice AS practice_id,
SUM(total_list_size / 1000.0) AS denominator
FROM hscic.practice_statistics
GROUP BY month, practice_id