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Higher patient satisfaction with antidepressants correlates with earlier drug release dates across online user-generated medical databases
Citation Link: https://doi.org/10.15480/882.5772
Publikationstyp
Journal Article
Date Issued
2017-10
Sprache
English
Author(s)
TORE-DOI
Volume
5
Issue
5
Start Page
1
End Page
9
Article Number
e00355
Citation
Pharmacology Research and Perspectives: 5 (5), 1-9 e00355 (2017-10)
Publisher DOI
Scopus ID
Peer Reviewed
true
Studies establishing the use of new antidepressants often rely simply on proving efficacy of a new compound, comparing against placebo and single compound. The advent of large online databases in which patients themselves rate drugs allows for a new Big Data–driven approach to compare the efficacy and patient satisfaction with sample sizes exceeding previous studies. Exemplifying this approach with antidepressants, we show that patient satisfaction with a drug anticorrelates with its release date with high significance, across different online user-driven databases. This finding suggests that a systematic reevaluation of current, often patent-protected drugs compared to their older predecessors may be helpful, especially given that the efficacy of newer agents relative to older classes of antidepressants such as monoamine oxidase inhibitors (MAOIs) and tricyclic antidepressants (TCAs) is as yet quantitatively unexplored.
Subjects
patient-generated online data
Psychopharmacology
Pharmacometrics
disease management
Clinical Pharmacology
DDC Class
610: Medicine, Health
Publication version
publishedVersion
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Pharmacology Res Perspec - 2017 - Siskind - Higher patient satisfaction with antidepressants correlates with earlier drug.pdf
Type
Main Article
Size
385.64 KB
Format
Adobe PDF