ArticleBMC psychiatry2025
Uncovering antidepressant prescription patterns: a three-year analysis of outpatient trends.
Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Psychopharmacological Mechanisms of Antidepressant Withdrawal: Insights From Venlafaxine.Human psychopharmacology · 2026Review
- Selective serotonin re-uptake inhibitors and risks of post-operative hematoma after elbow fracture surgery.JSES international · 2026Article
- Antidepressant prescribing patterns and patient-reported adverse effects: a cross-sectional study from Pakistan.Annals of general psychiatry · 2026Article
- Exploratory cluster analysis of self-reported adverse events associated with antidepressants using Gower distance and partitioning around medoids: a single-center cross-sectional study.Frontiers in psychiatry · 2026Article
- Healthcare utilization patterns and medication burden in post-COVID syndrome: a cross-sectional analysis reveals four phenotypes.Frontiers in health services · 2026Article
- Exploratory prescribing risk profiles and drug drug interaction burden in older adults with depressive episodes.Frontiers in psychiatry · 2026Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundAntidepressants (ADs) are prescribed for various conditions, including neurological and rheumatoid diseases. This study aims to analyze ADs prescribing trends in Iranian outpatients over three years, with a focus on age, sex, and ADs class.
methodsA retrospective cohort study was conducted using prescription data from the Iranian Health Insurance Organization (IHIO) between March 2021 and March 2024. The dataset included 8,924,431 prescriptions from 3,524,273 patients who received at least one ADs. ADs were classified into four groups: tricyclic antidepressants (TCAs), selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs), and atypical ADs. The data were processed via the cross-industry standard process for data mining and analyzed using a multivariate logistic regression model.
resultsSSRIs were the most commonly prescribed class, accounting for 63.71% of prescriptions, with sertraline being the most common drug (24.65%). Females accounted for 66.11% of the patient population. ADs prescriptions increased with age, and females were more likely to receive TCAs and SNRIs than males, who had higher rates of atypical ADs use.
conclusionsThis study revealed a notable increase in ADs prescriptions in Iran, particularly among women and older individuals. Continued monitoring of ADs prescription is crucial for optimizing outcomes, especially for vulnerable groups such as elderly individuals.
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