Implementation of decentralized clinical trials in Korea from a resource-based perspective.

IF 2.4 Q4 PHARMACOLOGY & PHARMACY
Translational and Clinical Pharmacology Pub Date : 2026-06-01 Epub Date: 2026-06-18 DOI:10.12793/tcp.2026.34.e9
Ki Young Huh, Gaeun Kang, Kye Hun Kim
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Abstract

Clinical trials in South Korea are heavily concentrated in Seoul, limiting patient access in other regions. We conducted a cross-sectional ecological study of 17 Korean administrative divisions to assess regional infrastructure readiness for decentralized clinical trial (DCT) implementation, using data from the Health Insurance Review and Assessment Service (2024), the National Health Insurance Service (2024), and the Ministry of Food and Drug Safety (2024 to 2025). Provincial densities for four resource domains (specialists, nurses, beds, and medical equipment) were calculated per 100,000 patients and normalized to Seoul (= 1.00). Area-specific composite indices for four therapeutic areas were computed as the capped geometric mean of specialist and equipment densities, and an overall infrastructure index as the capped geometric mean of all four domain densities. Trial density was derived from 1,924 approved trials yielding 7,760 trial-center pairs (99% mapping rate). Among the 16 non-Seoul provinces, bed density was the most dispersed (coefficient of variation [CV] = 0.39, range 0.58 to 2.91), whereas specialist density was the most Seoul-concentrated of the four domains: no non-Seoul province reached 80% of Seoul's level (CV = 0.23, range 0.42 to 0.79). The four therapeutic-area composite indices showed comparable dispersion (CV 0.15 to 0.23; composite infrastructure CV 0.16; Pearson r = 0.72). Gwangju exhibited the largest gap between infrastructure capacity (index 0.94) and trial activity (density ratio 0.18). Clinical trial activity in Korea is disproportionately low relative to infrastructure, and region-specific DCT strategies matched to local resource profiles can provide a practical framework for balanced trial participation.

从资源基础的角度看韩国分散临床试验的实施。
韩国的临床试验主要集中在首尔,限制了患者在其他地区的获得。我们对韩国17个行政区划进行了一项横断面生态研究,以评估区域基础设施对分散式临床试验(DCT)实施的准备情况,使用的数据来自健康保险审查和评估服务(2024年)、国民健康保险服务(2024年)和食品药品安全部(2024年至2025年)。四个资源领域(专家、护士、床位和医疗设备)的省级密度计算为每10万名患者,并归一化为首尔(= 1.00)。计算四个治疗区域的区域特异性复合指数作为专家和设备密度的上限几何平均值,并计算整体基础设施指数作为所有四个领域密度的上限几何平均值。试验密度来源于1924项批准的试验,产生7760个试验中心对(99%的作图率)。在16个非首尔省份中,床位密度是最分散的(变异系数[CV] = 0.39,范围0.58至2.91),而专家密度是四个领域中首尔最集中的:没有一个非首尔省份达到首尔水平的80% (CV = 0.23,范围0.42至0.79)。4个治疗区域复合指数的离散度相当(CV 0.15 ~ 0.23;复合基础设施CV 0.16; Pearson r = 0.72)。光州的基础设施容量(0.94)和试验活动(0.18)的差距最大。韩国的临床试验活动相对于基础设施而言低得不成比例,与当地资源概况相匹配的区域特异性DCT战略可以为平衡的试验参与提供实用框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational and Clinical Pharmacology
Translational and Clinical Pharmacology Medicine-Pharmacology (medical)
CiteScore
1.60
自引率
11.10%
发文量
17
期刊介绍: Translational and Clinical Pharmacology (Transl Clin Pharmacol, TCP) is the official journal of the Korean Society for Clinical Pharmacology and Therapeutics (KSCPT). TCP is an interdisciplinary journal devoted to the dissemination of knowledge relating to all aspects of translational and clinical pharmacology. The categories for publication include pharmacokinetics (PK) and drug disposition, drug metabolism, pharmacodynamics (PD), clinical trials and design issues, pharmacogenomics and pharmacogenetics, pharmacometrics, pharmacoepidemiology, pharmacovigilence, and human pharmacology. Studies involving animal models, pharmacological characterization, and clinical trials are appropriate for consideration.
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