ArticleFrontiers in pharmacology2024
Effects of pharmacogenomics-guided treatment on medication adherence and the antidepressant switching rate in major depressive disorder.
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Primary adherence to medications for the treatment of major depressive disorder: A descriptive study using real-world data.Journal of managed care & specialty pharmacy · 2026Article
- The clinical value of pharmacogenomics in the pharmacotherapy of common psychiatric disorders: a macroscopic analysis based on real-world data.BMC psychiatry · 2026Article
- Cardiovascular prescriber attitudes to pharmacogenomics: a survey by the ESC working group on cardiovascular pharmacotherapy.The pharmacogenomics journal · 2026Article
- Clinician Experiences at the Frontier of Pharmacogenomics and Future Directions.Journal of personalized medicine · 2025Article
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Authors and funding
19 authors.
Funding
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Abstract
Background: In the treatment of depression, medication plays a crucial role. However, insufficient patient adherence to medication often results in unsatisfactory treatment outcomes, increasing both the recurrence and rehospitalization rates of depression, and consequently imposing a greater economic burden on the healthcare system. Objectives: Our objective was to examine the impact of pharmacogenomic testing on medication adherence and antidepressant switching rates among individuals diagnosed with depression. Methods: This retrospective cohort study encompassed patients diagnosed with depression who were admitted to the First Hospital of Hebei Medical University between April 2022 and September 2023. Patients were categorized into a pharmacogenomics-guided treatment (PGxT) group and a treatment as usual (TAU) group based on whether pharmacogenetic testing was conducted. The primary outcome measures included the proportion of patients exhibiting medication adherence greater than 80% at three and 6 months post-discharge, as well as the proportion of patients experiencing changes in their prescribed medication types. Results: A total of 310 patients in the PGxT group and TAU group were obtained through propensity score matching. Among the 620 patients in both groups, 57.42% demonstrated good adherence (≥80%) at 3 months; this percentage dropped to 31.45% at 6 months. At 3 months of observation, the percentages of patients demonstrating good adherence were significantly different between the groups (64.52% in the PGxT group vs. 50.32% in the TAU group; Conclusion: The findings of this study indicate that pharmacogenomics testing positively influences treatment adherence and may decrease the need to switch medications among patients with depression.
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