Insights into prescribing patterns for antidepressants: an evidence-based analysis
Our findings provide valuable insights into the nuanced factors that shape evidence-based antidepressant prescribing practices, offering a foundation for more personalized, effective depression treatment. Further research is needed to validate these models in other extant databases. These findings contribute to a more comprehensive understanding of antidepressant prescribing practices and have the potential to improve patient outcomes in the management of depression.
Authors
- Hua Min (ORCID: https://orcid.org/0000-0003-2422-0043)
- Farrokh Alemi (ORCID: https://orcid.org/0000-0002-7402-9063)
Institutions
- George Mason University (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1186/s12911-025-02886-z
- Citations
- 5
- Primary Topic
- Treatment of Major Depression
- Type
- article
- Field-Weighted Citation Impact
- 6.97