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.

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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
Controls
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article

Insights into prescribing patterns for antidepressants: an evidence-based analysis

Hua Min, Farrokh Alemi
5 citations
BMC Medical Informatics and Decision Making
Treatment of Major Depression
6.97
article

Insights into prescribing patterns for antidepressants: an evidence-based analysis

Hua Min, Farrokh Alemi
article en
5 citations

Abstract

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.

BMC Medical Informatics and Decision MakingVol. 25(1)
George Mason University (US)
Openalex Percentile: Top 4%
Treatment of Major Depression
6.97
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