Creating an index to measure health state of depressed patients in automated healthcare databases: the methodology

Creating an index to measure health state of depressed patients in automated healthcare databases: the methodology

Background and objective: Automated healthcare databases (AHDB) are an important data source for real life drug and healthcare use. In the filed of depression, lack of detailed clinical data requires the use of binary proxies with important limitations. The study objective was to create a Depressive...

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Bibliographic Details
Main Authors: Clément François, Adrian Tanasescu, François-Xavier Lamy, Nicolas Despiegel, Bruno Falissard, Ylana Chalem, Christophe Lançon, Pierre-Michel Llorca, Delphine Saragoussi, Patrice Verpillat, Alan G. Wade, Djamel A. Zighed
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Journal of Market Access & Health Policy
Subjects:
Database
depression
health state
index
outcome
cohort
Online Access:http://dx.doi.org/10.1080/20016689.2017.1372025

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