Samantha Lane

and 3 more

Purpose: To predict the public health impact of marketing authorisation suspension of cyproterone acetate/ ethinylestradiol (Diane-35 and its generics) in France using a novel modelling technique, and to critique the model. Methods: Cyproterone acetate/ ethinylestradiol exposures in primary care were estimated using IQVIA’s IMS-France electronic health records database. Systematic review identified quantitative research with event data for exposed participants. The main outcome measure was prevented thromboembolic events as a result of marketing authorisation suspension. Results: At the time of marketing authorisation suspension, 4,325,863 active female patients of childbearing potential (aged 10-49 years) were in the IMS-France database. Between 12 months pre- and 12 months post-suspension, average monthly exposure to Diane-35 and its generics decreased by 78.79%, from 8.49 to 1.80 per 100,000 female patients aged 10-49 years. Absolute risk, calculated from event data from three observational studies, was estimated at 53.9%. Approximately 147 cases of thromboembolism would be prevented as a result of the eight-month suspension within exposed IMS-France patients (female, aged 10-49 years). A sensitivity analysis with risk estimates from the Summary of Product Characteristics suggested that less than one case would be prevented during the eight-month suspension. Conclusions: The predictive modelling technique is heavily reliant on the accuracy of utilisation and absolute risk data, as the risk of thromboembolic events differed when event data was estimated from published research or the Summary of Product Characteristics. Nonetheless, this model has wide applicability in other settings where a measurable change in drug utilisation may be obtained, such as withdrawal of marketing authorisation or restriction of prescribing.

Elizabeth Lynn

and 2 more

Purpose: Removing medicines from market may benefit public health by preventing adverse drug reactions (ADRs), which should be quantified. This study’s aim was to identify a model to quantify the impact of medicines’ marketing authorisation (MA) withdrawal and revocation in terms of morbidity and mortality. Methods: MA withdrawals and revocations for safety reasons in France, Germany, and/or the United Kingdom (UK) between July 2012 and December 2016 were identified for prescription medicines. Annual exposure was estimated for each medicine, using IQVIA Medical Research Data (IMRD)-France, IMRD-Germany, and IMRD-UK primary care electronic health record databases. European Medicines Agency records provided reasons for regulatory action for each medicine. Absolute risks of ADRs in patients exposed to each medicine were estimated by systematic review of quantitative research. Public health impact, expressed as annual number of ADRs avoided, was estimated by modelling exposure and ADR risk. Results: Four MA withdrawals and two revocations met study inclusion criteria. Each product’s usage decreased following MA withdrawal or revocation. Absolute risk for ADRs was 0.1-41.25%. To estimate impact of each withdrawal or revocation, its average annual exposure within each IMRD population was multiplied by the absolute risk to give the crude number of ADRs prevented annually due to regulatory action. Conclusions: This model quantifies the public health impact of MA withdrawal and revocation in terms of serious morbidity, resulting from eliminated or reduced usage of medicines. This method can be applied to products in other settings to quantify the impact of other pharmacovigilance actions.