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 | Total items of generic ciclosporin and tacrolimus preparations as a proportion of total items of all ciclosporin and tacrolimus items |
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Why it matters | It is recommended for both ciclosporin and tacrolimus that patients are prescribed and dispensed by brand name, to reduce the problems of patients switching formulations. You can read more in our detailed paper on unsafe prescribing of tacrolimus and ciclosporin. |
Tags | Standard, Generic prescribing, Safety |
Implies cost savings | No |
Authored by | richard.croker |
Checked by | andrew.brown |
Last reviewed | 2024-02-12 |
Next review due | 2026-02-12 |
History | View change history on GitHub → |
SELECT
CAST(month AS DATE) AS month,
practice AS practice_id,
SUM(items) AS numerator
FROM hscic.normalised_prescribing
WHERE bnf_code IN ("0802020G0AAAAAA", "0802020G0AAACAC", "0802020G0AAADAD", "0802020G0AAAEAE", "0802020G0AAAFAF", "0802020G0AAAGAG", "0802020G0AAAHAH", "0802020T0AAAAAA", "0802020T0AAABAB", "0802020T0AAAFAF", "0802020T0AAAGAG", "0802020T0AAALAL", "0802020T0AAAMAM", "0802020T0AAANAN", "0802020T0AAAPAP", "0802020T0AAATAT", "0802020T0AAAVAV", "0802020T0AAAWAW", "0802020T0AABCBC", "0802020T0AABDBD", "0802020T0AABEBE", "0802020T0AABFBF", "0802020T0AABGBG", "0802020T0AABJBJ")
GROUP BY month, practice_id
SELECT
CAST(month AS DATE) AS month,
practice AS practice_id,
SUM(items) AS denominator
FROM hscic.normalised_prescribing
WHERE bnf_code IN ("0802020G0AAAAAA", "0802020G0AAACAC", "0802020G0AAADAD", "0802020G0AAAEAE", "0802020G0AAAFAF", "0802020G0AAAGAG", "0802020G0AAAHAH", "0802020G0BBAAAG", "0802020G0BBACAA", "0802020G0BBADAC", "0802020G0BBAEAD", "0802020G0BBAFAF", "0802020G0BCAAAG", "0802020G0BCABAC", "0802020G0BCACAF", "0802020G0BCADAD", "0802020G0BCAEAH", "0802020G0BEAAAC", "0802020G0BEABAF", "0802020G0BEACAD", "0802020G0BFAAAC", "0802020G0BFABAF", "0802020G0BFACAD", "0802020G0BGAAAD", "0802020G0BGABAF", "0802020G0BGACAC", "0802020G0BGADAG", "0802020G0BHAAAC", "0802020G0BHABAF", "0802020G0BHACAD", "0802020G0BHADAH", "0802020T0AAAAAA", "0802020T0AAABAB", "0802020T0AAAFAF", "0802020T0AAAGAG", "0802020T0AAALAL", "0802020T0AAAMAM", "0802020T0AAANAN", "0802020T0AAAPAP", "0802020T0AAATAT", "0802020T0AAAVAV", "0802020T0AAAWAW", "0802020T0AABCBC", "0802020T0AABDBD", "0802020T0AABEBE", "0802020T0AABFBF", "0802020T0AABGBG", "0802020T0AABJBJ", "0802020T0BBAAAA", "0802020T0BBABAB", "0802020T0BBACAC", "0802020T0BBADAF", "0802020T0BCAAAM", "0802020T0BCABAN", "0802020T0BCACAP", "0802020T0BCADAT", "0802020T0BDAAAV", "0802020T0BDABAW", "0802020T0BEAAAB", "0802020T0BEABAA", "0802020T0BEACAF", "0802020T0BEADBF", "0802020T0BEAEBG", "0802020T0BGAAAF", "0802020T0BGABAB", "0802020T0BJAABC", "0802020T0BJABBD", "0802020T0BJACBE", "0802020T0BKAAAM", "0802020T0BKABAN", "0802020T0BKACAT", "0802020T0BKADAP", "0802020T0BKAEBJ")
GROUP BY month, practice_id