Implementation Complexity
Cross-source consensus on Implementation Complexity from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Preparation
Risks & contraindications
Highlighted claims
- Effective DCT implementation depends on training, infrastructure, regulatory readiness, sponsor experience, investigator oversight, and communication quality. — Association between decentralised clinical trial adoption and trial duration: a retrospective cross-sectional study of metabolic disease trials
- DCT models should be tailored to study characteristics, phase, therapeutic area, intervention, objectives, patient profiles, and regulatory conditions. — Association between decentralised clinical trial adoption and trial duration: a retrospective cross-sectional study of metabolic disease trials
- Decentralised methods may add logistical, technological, regulatory, and data-management complexity that offsets time savings. — Association between decentralised clinical trial adoption and trial duration: a retrospective cross-sectional study of metabolic disease trials
- Continuous data collection and remote technology can either increase participant burden or reduce retention depending on implementation. — Association between decentralised clinical trial adoption and trial duration: a retrospective cross-sectional study of metabolic disease trials
- DCT efficiency gains may not yet be fully realized because industry remains in a transitional learning phase. — Association between decentralised clinical trial adoption and trial duration: a retrospective cross-sectional study of metabolic disease trials