공통데이터모델 기반 한국의 항우울제 처방 현황 = Antidepressant Prescribing Patterns in Korea Based on a Common Data Model

다국어 초록 (Multilingual Abstract)

This study aimed to analyze the prescribing patterns of antidepressants in South Korea through the integration of data from 27 institutions using the Common Data Model (CDM). Methods: The clinical records converted into observational medical outcomes partnership common data model (OMOP-CDM) were considered, including the most recent data from each institution available as of October 2024. OMOPCDM from 27 institutions within the FeederNet network were used for the analysis.
The study population consisted of patients diagnosed with depression and prescribed antidepressants at least once in OMOP-CDM. Results: This study showed that 176,888 individuals were diagnosed with depression and prescribed antidepressants at least once. As a result of analyzing 176,888 individuals, female patients were 110,056 (62.2%), patients over the age of 60 were 73,634 (41.6%), and patients prescribed selective serotonin reuptake inhibitor (SSRI) were 100,030 (56.5%). Among the total population of 176,888, elderly women aged 60 years or older who prescribed tricyclic antidepressant (TCA) were 13,139 (7.4%). Amitriptyline was the most prescribed in this subgroup (7,779, 59.2%). Also, among the total population of 176,888, adolescents aged 19 or younger who prescribed SSRI were 9,429 (5.3%). Escitalopram was the most prescribed in this subgroup (4,206, 44.6%). Conclusion: This study conducted a multicenter study in South Korea using CDM. In South Korea, antidepressant prescription rates were higher among the elderly, women, and SSRI. Amitriptyline (TCA) was the most prescribed antidepressant for elderly women, and Escitalopram (SSRI) was the most prescribed among adolescents.
These findings are expected to provide foundational data for establishing guidelines on antidepressant prescriptions.