Journal of Developing Drugs
Open Access
ISSN: 2329-6631
+44 1478 350008
ISSN: 2329-6631
+44 1478 350008
Massoud Toussi
IMS Health, France
Posters & Accepted Abstracts: J Develop Drugs
Routinely collected data include a wide variety of data sources such as electronic medical records (EMR), hospital and outpatient claims databases, pharmacy dispensing, laboratory exam, genetic data and patient reported databases as well as the data gathered through connected devices such as glucometers. Good understanding of the value and caveats of each type of data can help a better selection of data sources for research and avoiding bias. To present lessons learned and return of experience on different categories of databases and discuss on usages, data collection methods, strengths and weaknesses of each data. Generating evidence form real world data involves using a variety of data sources. Unlike the data gathered through clinical trials, the real world data sources are numerous and heterogeneous. Although there is growing interest for the use of routinely collected data in pharmacoepidemiology, the experience with some types of data such as dispensing data and prescription-diagnosis surveys is very limited in pharmacoepidemiology whereas they can provide useful insights on the appropriate use of drugs and the assessment of risk minimization measures. The methods of data collection for each type of database will be explained. Using examples from their real life practice, the speaker will discuss on the common caveats of different types of data sources and the potential biases related to their use, as well as strategies to avoid them. They will also address how to combine and link different types of data.
Email: massoudtoussi@gmail.com