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 | Cost of dronedarone per 1000 patients |
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Why it matters | Dronedarone is used for the maintenance of sinus heart rhythm after cardioversion in clinically stable patients with paroxysmal or persistent atrial fibrillation, when alternative treatments are unsuitable (initiated under specialist supervision). Dronedarone was originally approved to prevent atrial fibrillation from coming back or to lower the heart rate in adults who have had or have non-permanent atrial fibrillation. In September 2011 this indication was restricted to the maintenance of normal heart rhythm in 'persistent' or 'paroxysmal' atrial fibrillation after normal heart rhythm has been restored. This followed a review of data that became available since its authorisation, including data from the PALLAS study. NICE guidance puts greater emphasis on rate rather than rhythm control and clarifies the place of dronedarone in the treatment pathway. For guidance on when prescribing may be appropriate in some exceptional circumstances, please see the full NHS England guidance document. |
Tags | Cost Saving, Cardiovascular system, NHS England - items which should not routinely be prescribed in primary care, NICE, Safety |
Implies cost savings | Yes |
Authored by | richard.croker |
Checked by | christopher.wood |
Last reviewed | 2024-03-05 |
Next review due | 2026-03-05 |
History | View change history on GitHub → |
SELECT
CAST(month AS DATE) AS month,
practice AS practice_id,
SUM(actual_cost) AS numerator
FROM hscic.normalised_prescribing
WHERE bnf_code IN ("0203020X0AAAAAA", "0203020X0BBAAAA")
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