The landscape of decentralized clinical trials (DCTs) : focusing on the FDA and EMA guidance

Copyright © 2024 Translational and Clinical Pharmacology..

Decentralized clinical trials (DCTs) consist of off-site trial-related procedures referred to as decentralized elements. We aimed to provide an overview of the landscape of DCTs by comparing regulatory guidance reports and analyzing decentralized elements from clinical trial registries. Two guidance reports on DCTs published by the U.S. Food and Drug Administration and the European Medicines Agencies were summarized and analyzed. Both guidance publications commonly emphasized an assessment of the appropriateness of decentralized elements along 2 axes: patient safety and data integrity. DCT cases were identified from ClinicalTrials.gov by searching with 6 keywords: decentralized, remote, mobile, digital, virtual, and hybrid. Cases where the keyword was used in a non-DCT context, such as digital flexor tendon, were excluded by means of natural language processing. A total of 4,874 trials were identified as DCT cases, with annual increases, especially after 2020. The most common keywords were 'mobile' and 'digital' (36.2% and 24.8%, respectively). Interventions in the DCT cases were analyzed by means of a network analysis. Behavioral and technological tokens were frequently combined, such as 'rehabilitation' and 'app.' Drugs were used in only 1.8% of the DCT cases. Of these, most drugs had been approved previously (96.8%) and were in oral formulation (67.2%). Most of the DCT cases identified in this study involved simple interventions and low-risk drugs. These characteristics were in accordance with the common recommendations in the DCT guidance publications.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:32

Enthalten in:

Translational and clinical pharmacology - 32(2024), 1 vom: 20. März, Seite 41-51

Sprache:

Englisch

Beteiligte Personen:

Park, Jiyeon [VerfasserIn]
Huh, Ki Young [VerfasserIn]
Chung, Woo Kyung [VerfasserIn]
Yu, Kyung-Sang [VerfasserIn]

Links:

Volltext

Themen:

Clinical Trial
Guideline
Journal Article
Mobile Applications
Natural Language Processing
Remote Consultation

Anmerkungen:

Date Revised 09.04.2024

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.12793/tcp.2024.32.e2

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370755324