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A generic minimization random allocation and blinding system on web.

Hongwei Cai1, Jielai Xia, Dezhong Xu

  • 1Network Center, Fourth Military Medical University, No. 17 Changle West Road, Xi'an, Shaanxi 710032, China.

Journal of Biomedical Informatics
|April 18, 2006
PubMed
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This study introduces a web-based system for dynamic randomization using the Pocock and Simon minimization method. The system facilitates balanced and blinded allocation in clinical trials, addressing previous implementation challenges.

Area of Science:

  • Clinical Trials Methodology
  • Biostatistics
  • Health Informatics

Background:

  • Minimization is a dynamic randomization technique for clinical trials, often underutilized due to perceived complexity and analytical controversies.
  • Recent studies affirm the statistical and clinical validity of minimization, highlighting its potential benefits.
  • A novel web-based system integrating minimization with blinding capabilities for easier implementation in clinical trials is needed.

Purpose of the Study:

  • To develop and present a web-based random allocation system that implements the Pocock and Simon minimization method.
  • To incorporate a blinding function within the minimization system to simplify its application in general clinical trials.
  • To demonstrate the system's utility in facilitating balanced and blinded treatment group allocation.

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Main Methods:

  • The system was developed using Microsoft Visual Basic and Active Server Pages (ASP), with a Microsoft SQL Server database.
  • It employs a generic database schema design, the Pocock and Simon minimization algorithm, and a blinding methodology.
  • The system supports multiple treatment arms, simultaneous trials, and integrated blinding without requiring additional programming.

Main Results:

  • Simulations involving two simultaneous clinical trials demonstrated the system's applicability and effectiveness.
  • The system successfully achieved balanced group allocations in both simulated trials.
  • Blinded allocation results were also successfully achieved, confirming the integrated blinding function's efficacy.

Conclusions:

  • The developed system offers a practical solution for implementing minimization in clinical trials, overcoming previous barriers.
  • It provides benefits such as balanced group allocation and integrated blinding, enhancing the general applicability of minimization.
  • The system's promising features and considerations for its use in clinical research are discussed.