1
|
Lasys T, Santa-Ana-Tellez Y, Siiskonen SJ, Groenwold RHH, Gardarsdottir H. Unintended impact of pharmacovigilance regulatory interventions: A systematic review. Br J Clin Pharmacol 2023; 89:3491-3502. [PMID: 37553757 DOI: 10.1111/bcp.15874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/17/2023] [Accepted: 07/26/2023] [Indexed: 08/10/2023] Open
Abstract
AIMS Studies assessing the impact of pharmacovigilance regulatory interventions often focus on the expected (or intended) outcomes, while any possible unintended impact may be overlooked. The update of the Good Pharmacovigilance Practice guideline in 2017 elaborated on impact assessment, emphasizing the need also to assess possible unintended impact. This systematic literature review investigated how often the unintended impact of regulatory interventions was considered in publications of studies investigating pharmacovigilance regulatory interventions in Europe. METHODS We conducted a systematic review of the literature on MEDLINE and EMBASE from 1 January 2012 to 28 February 2022 to identify publications that investigated the impact of regulatory interventions in Europe. The primary outcome of the study was the number of publications reporting assessments of unintended impact. In addition, we studied the characteristics of these publications, including the type of outcomes assessed, the analytical methods applied and the type of data used. RESULTS In total, 96 publications were included in the analysis. The unintended impact of pharmacovigilance regulatory interventions was investigated in 23 of 96 publications (24%). The drug classes most frequently studied in the publications assessing unintended impact of regulatory interventions were oral glucose-lowering drugs (n = 6, 26%), opioids (n = 4, 17%), antidepressants (n = 4, 17%) and antipsychotics (n = 3, 13%). The reported methods to assess the unintended impact were interrupted time series (n = 10, 43%) and descriptive statistics with or without significance testing (n = 2 [9%] and n = 9 [39%], respectively). The outcomes selected for unintended impact assessments included the use of other drugs (n = 16, 70%), health outcomes (n = 8, 35%) and behavioural changes (n = 4, 17%). Most of the publications reported on the use of electronic health record databases (n = 13, 57%) or claims databases (n = 13, 57%), while registries were used in 4 publications (17%). CONCLUSION The unintended impact of pharmacovigilance regulatory interventions was reported in only a quarter of identified publications. There was no apparent increase in attention to unintended impact assessments after the update of the Good Pharmacovigilance Practice guidelines.
Collapse
Affiliation(s)
- Tomas Lasys
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Yared Santa-Ana-Tellez
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Satu J Siiskonen
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Rolf H H Groenwold
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Helga Gardarsdottir
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
- Department of Pharmaceutical Sciences, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, The Netherlands
| |
Collapse
|
2
|
Degremont A, Kerbrat S, Balusson F, Jonville-Bera AP, Ringa V, Travers D, Tillaut H, Leray E, Oger E, Birben A, Polard E. Prescribing Trends for Valproate Among Pregnant Women: A Cross-sectional Study in 2013 and 2016 Using the French Health Insurance Database. Neurology 2022; 98:e2163-e2173. [PMID: 35379759 DOI: 10.1212/wnl.0000000000200260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 02/04/2022] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We aimed to describe the prescribing trends for sodium valproate (VPA) and alternative drugs during and around pregnancy, comparing 2016 (after the recommendations on valproate for women were reinforced by the EMA) to 2013 (before the recommendations). METHODS Using the French National Health Insurance Database, a cross-sectional study was carried out in 2013 and in 2016, including women who became pregnant and had at least one reimbursement claim for VPA in the two years prior to pregnancy or during pregnancy. Exposure to VPA and its alternatives was then measured for each quarter, in the two years before pregnancy (pre-conception), during pregnancy and in the year after pregnancy (post-partum). RESULTS Among pregnant women with epilepsy (N=2,607 pregnancies), the proportion exposed to VPA during pregnancy decreased from 26.4% to 9.3% between 2013 and 2016, alongside an increase in lamotrigine and levetiracetam use. Among pregnant women with bipolar disorder (N=4,278 pregnancies), the proportion of women exposed during pregnancy decreased from 3.7% in 2013 to 1.9% in 2016, without any switch to alternative drugs. In both populations, less than one third had consulted a specialist before pregnancy. CONCLUSION As recommended by the EMA, a change in practice over the period 2013-2016 was observed, with fewer women exposed to VPA during pregnancy and before pregnancy. However, in 2016, a large number of women were exposed to VPA in the first trimester of pregnancy (N=471), which could suggest that the timing of pregnancy should be better planned whenever possible.
Collapse
Affiliation(s)
- Adeline Degremont
- Pharmaco-vigilance, Pharmaco-epidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, Rennes, France .,EA 7449 REPERES 'Pharmaco-epidemiology and Health Services Research', Univ Rennes, Rennes, France
| | - Sandrine Kerbrat
- EA 7449 REPERES 'Pharmaco-epidemiology and Health Services Research', Univ Rennes, Rennes, France
| | - Frédéric Balusson
- Pharmaco-vigilance, Pharmaco-epidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, Rennes, France.,EA 7449 REPERES 'Pharmaco-epidemiology and Health Services Research', Univ Rennes, Rennes, France
| | - Annie Pierre Jonville-Bera
- Pharmaco-vigilance and Drug Information Centre, Department of Pharmaco-surveillance, CHU de Tours, Tours, France
| | - Virginie Ringa
- INSERM CESP (Centre de recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Villejuif, France
| | - David Travers
- Department of Psychiatry, CHU de Rennes, Rennes, France
| | - Hélène Tillaut
- Department of Health Epidemiology and biostatistics for decision-making in public health, EHESP (School for Public Health), Rennes, France
| | - Emmanuelle Leray
- Department of Health Epidemiology and biostatistics for decision-making in public health, EHESP (School for Public Health), Rennes, France
| | - Emmanuel Oger
- Pharmaco-vigilance, Pharmaco-epidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, Rennes, France.,EA 7449 REPERES 'Pharmaco-epidemiology and Health Services Research', Univ Rennes, Rennes, France
| | - Arnaud Birben
- Epilepsy unit, Department of Neurology, CHU de Rennes, Rennes, France.,INSERM 1099, Signal and Image Processing Laboratory, Univ Rennes, Rennes, France
| | - Elisabeth Polard
- Pharmaco-vigilance, Pharmaco-epidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, Rennes, France.,EA 7449 REPERES 'Pharmaco-epidemiology and Health Services Research', Univ Rennes, Rennes, France
| |
Collapse
|
3
|
Degremont A, Polard E, Kerbrat S, Grimaud O, Jonville-Béra AP, Ringa V, Travers D, Oger E, Biraben A, Nowak E. Impact of recommendations on sodium valproate prescription among women with epilepsy: An interrupted time-series study. Epilepsy Behav 2021; 125:108449. [PMID: 34839242 DOI: 10.1016/j.yebeh.2021.108449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/12/2021] [Accepted: 11/12/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND The European Medicines Agency (EMA) has developed risk minimization measures (RMMs) to reduce the use of the teratogenic drug, sodium valproate (VPA). The objective was to assess the impact of these RMMs among females with epilepsy in France. METHODS We used data from the French National Health Insurance Database (SNDS), including 114,936 females aged under 50, with a reimbursement claim for an antiepileptic drug from January 2011 to December 2017, and identified as people with epilepsy. We used a controlled interrupted time series stratifying on age: girls (0-14 years old) and women of childbearing age (15-49 years), and with 129,917 males as controls. RESULTS VPA prevalent use among girls and women of childbearing age with epilepsy decreased significantly after the issue of the RMMs (trend changes of, respectively, -5 and -4 users per 1000 females at-risk per quarter in comparison to the control group). We did not detect any significant change in VPA incident use. CONCLUSIONS VPA use decreased over the study period among females with epilepsy but there were still 317 women and 206 girls started on VPA therapy VPA in 2017 (8 per 1000 at-risk and 18 per 1000, respectively). This suggests that either the measures should be strengthened or that the lowest level of VPA use has been reached. In this context, the introduction of a new RMM (in 2018) needs to be evaluated.
Collapse
Affiliation(s)
- Adeline Degremont
- Pharmacovigilance, Pharmacoepidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, 35033 Rennes, France; Univ Rennes, EA 7449 REPERES 'Pharmacoepidemiology and Health Services Research', 35000 Rennes, France.
| | - Elisabeth Polard
- Pharmacovigilance, Pharmacoepidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, 35033 Rennes, France; Univ Rennes, EA 7449 REPERES 'Pharmacoepidemiology and Health Services Research', 35000 Rennes, France
| | - Sandrine Kerbrat
- Univ Rennes, EA 7449 REPERES 'Pharmacoepidemiology and Health Services Research', 35000 Rennes, France
| | - Olivier Grimaud
- Ecole des Hautes Etudes en Sante Publique, 35000 Rennes, France
| | - Annie-Pierre Jonville-Béra
- Pharmacovigilance and Drug Information Centre, Department of Pharmacosurveillance, CHU de Tours, 37044 Tours, France
| | - Virginie Ringa
- INSERM, Univ Paris-Saclay, Univ Paris-Sud, UVSQ, CESP, Villejuif, France
| | - David Travers
- Psychiatry Department, Department of Psychiatry, CHU Rennes, Rennes, France
| | - Emmanuel Oger
- Pharmacovigilance, Pharmacoepidemiology and Drug Information Centre, Department of Clinical Pharmacology, CHU de Rennes, 35033 Rennes, France; Univ Rennes, EA 7449 REPERES 'Pharmacoepidemiology and Health Services Research', 35000 Rennes, France
| | - Arnaud Biraben
- Epilepsy Unit, Neurology Department, Rennes University Hospital and INSERM 1099, Signal and Image Processing Laboratory, University of Rennes 1, France
| | - Emmanuel Nowak
- CHU de Brest et Université Européenne de Bretagne, Université de Brest, INSERM CIC 1412, IFR 148, France
| |
Collapse
|