High-cost drugs for erectile dysfunction

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 Spend on drugs for erectile dysfunction which are not low-cost generic PD5E-inhibitor tablets per 1000 patients
Why it matters Phosphodiesterase-5 (PDE-5) inhibitors are the recommended as the first line treatment for erectile dysfunction. Most of these are now generic and inexpensive, and should ideally be considered before more expensive treatments. Other treatments are also available, usually following specialist referral.
Tags Standard, Cost Saving, Erectile Dysfunction, Reproductive system
Implies cost savings Yes
Authored by richard.croker
Checked by andrew.brown
Last reviewed 2024-08-05
Next review due 2026-08-05
History View change history on GitHub →

Numerator SQL

SELECT
     CAST(month AS DATE) AS month,
     practice AS practice_id,
     SUM(actual_cost) AS numerator
 FROM hscic.normalised_prescribing
 WHERE bnf_code IN ("0704050AAAAADAD", "0704050AABBAAAA", "0704050AABBABAB", "0704050AABBACAC", "0704050AABBADAD", "0704050ACAAAAAA", "0704050ACAAABAB", "0704050ACAAACAC", "0704050ACBBAAAA", "0704050ACBBABAB", "0704050ACBBACAC", "0704050ADAAAAAA", "0704050ADBBAAAA", "0704050B0AAAAAA", "0704050B0AAAIAI", "0704050B0AAAVAV", "0704050B0AAAWAW", "0704050B0AAAZAZ", "0704050B0AABABA", "0704050B0AABBBB", "0704050B0AABDBD", "0704050B0AABFBF", "0704050B0AABJBJ", "0704050B0AABKBK", "0704050B0AABLBL", "0704050B0AABMBM", "0704050B0AABNBN", "0704050B0AABPBP", "0704050B0BBAAAA", "0704050B0BBABAI", "0704050B0BBADBD", "0704050B0BBAEBJ", "0704050B0BBAFBK", "0704050B0BCADAV", "0704050B0BCAEAW", "0704050B0BCAFBF", "0704050B0BCAGBL", "0704050B0BCAHBM", "0704050B0BCAIBN", "0704050B0BDACAZ", "0704050B0BDADBA", "0704050B0BDAEBB", "0704050B0BEAABP", "0704050J0AAAHAH", "0704050R0AAACAC", "0704050R0BBAAAA", "0704050R0BBABAB", "0704050R0BBACAC", "0704050R0BBADAD", "0704050R0BDAAAB", "0704050R0BEAAAA", "0704050Y0AAAVAV", "0704050Y0BCAAAV", "0704050Z0AAAEAE", "0704050Z0AAAFAF", "0704050Z0AAAGAG", "0704050Z0AAAIAI", "0704050Z0AAAKAK", "0704050Z0AAALAL", "0704050Z0AAAMAM", "0704050Z0AAANAN", "0704050Z0AAAPAP", "0704050Z0BBAAAA", "0704050Z0BBABAB", "0704050Z0BBACAC", "0704050Z0BDABAN", "0704050Z0BDACAP", "0704050Z0BEAAAB", "0704050Z0BEABAA", "0704050Z0BFAAAA", "0704050Z0BGAAAA", "0704050Z0BHAAAA", "0704050Z0BIAAAA")
 GROUP BY month, practice_id

Denominator SQL

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
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