Thomas Soeiro, Amélie Daveluy, Caroline Victorri-Vigneau, Maryse Lapeyre-Mestre, Joëlle Micallef
{"title":"Inputs of pharmacoepidemiology in addictovigilance: How do they fit together?","authors":"Thomas Soeiro, Amélie Daveluy, Caroline Victorri-Vigneau, Maryse Lapeyre-Mestre, Joëlle Micallef","doi":"10.1016/j.therap.2024.10.058","DOIUrl":null,"url":null,"abstract":"<p><p>The French Addictovigilance Network has been using data from the French Heath insurance since the late 1990s to assess prescription drug abuse. In this narrative review, we illustrate the inputs of pharmacoepidemiology in addictovigilance based on the experience of the French Addictovigilance Network. The review focuses on pharmacoepidemiology using the French National Health Data System. We propose three examples: the MEGADOSE study, which aimed to conduct the first nation-wide, systematic, repeated assessment of doctor shopping; the DANTE study, which aimed to assess trends in analgesic use, focusing on the prevalence of use and the demographic profiles of analgesic users by age and sex; and the ZORRO study, which aimed to assess the impact of secure prescription forms on the use of zolpidem and other sedatives. These examples show how pharmacoepidemiology fits in the multifaceted monitoring conducted by the French Addictovigilance Network and complements the other data sources of this framework. This approach improves signal detection, confirmation, and quantification. It also makes it possible to overcome the limitations of each data source taken individually.</p>","PeriodicalId":23147,"journal":{"name":"Therapie","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapie","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.therap.2024.10.058","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
The French Addictovigilance Network has been using data from the French Heath insurance since the late 1990s to assess prescription drug abuse. In this narrative review, we illustrate the inputs of pharmacoepidemiology in addictovigilance based on the experience of the French Addictovigilance Network. The review focuses on pharmacoepidemiology using the French National Health Data System. We propose three examples: the MEGADOSE study, which aimed to conduct the first nation-wide, systematic, repeated assessment of doctor shopping; the DANTE study, which aimed to assess trends in analgesic use, focusing on the prevalence of use and the demographic profiles of analgesic users by age and sex; and the ZORRO study, which aimed to assess the impact of secure prescription forms on the use of zolpidem and other sedatives. These examples show how pharmacoepidemiology fits in the multifaceted monitoring conducted by the French Addictovigilance Network and complements the other data sources of this framework. This approach improves signal detection, confirmation, and quantification. It also makes it possible to overcome the limitations of each data source taken individually.
期刊介绍:
Thérapie is a peer-reviewed journal devoted to Clinical Pharmacology, Therapeutics, Pharmacokinetics, Pharmacovigilance, Addictovigilance, Social Pharmacology, Pharmacoepidemiology, Pharmacoeconomics and Evidence-Based-Medicine. Thérapie publishes in French or in English original articles, general reviews, letters to the editor reporting original findings, correspondence relating to articles or letters published in the Journal, short articles, editorials on up-to-date topics, Pharmacovigilance or Addictovigilance reports that follow the French "guidelines" concerning good practice in pharmacovigilance publications. The journal also publishes thematic issues on topical subject.
The journal is indexed in the main international data bases and notably in: Biosis Previews/Biological Abstracts, Embase/Excerpta Medica, Medline/Index Medicus, Science Citation Index.