Literature DB >> 18823755

Potential for technical errors and subverted allocation can be reduced if certain guidelines are followed: examples from a web-based survey.

Catherine E Hewitt1, David J Torgerson, Vance W Berger.   

Abstract

OBJECTIVE: To elicit researchers' experiences and knowledge of how the randomization process can be undermined. STUDY DESIGN AND
SETTING: Web-based survey conducted in February 2006 using a convenience sample of individuals who are, or have been, involved in some aspect of randomized controlled trials.
RESULTS: Thirty responses were received that described incidences of manipulation. Seven reasons were identified for manipulation: interest of participants, demonstrating treatment efficacy, treatment preference, lack of knowledge, pressure from participants, pressure from trial workers, and practical or technical concerns. In many cases when manipulation was discovered, it was rarely mentioned in the trial publication. Twenty-three responses that described technical errors were received. Technical errors were reported for both the generation and implementation stages of the randomization process.
CONCLUSIONS: This study provides further evidence on trial subversion and highlighted that the potential for technical errors can be reduced, and in most cases eliminated, if certain guidelines are followed. Recommendations are as follows: use simple randomization where possible, use third party allocation, test computer randomization programs prior to participant recruitment and ensure that individuals are aware of the procedures needed to be performed if the treatment allocations cannot be accessed using the intended methods.

Entities:  

Mesh:

Year:  2008        PMID: 18823755     DOI: 10.1016/j.jclinepi.2008.06.005

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

Review 1.  Risk of selection bias in randomised trials.

Authors:  Brennan C Kahan; Sunita Rehal; Suzie Cro
Journal:  Trials       Date:  2015-09-10       Impact factor: 2.279

2.  Mechanisms and direction of allocation bias in randomised clinical trials.

Authors:  Asger Paludan-Müller; David Ruben Teindl Laursen; Asbjørn Hróbjartsson
Journal:  BMC Med Res Methodol       Date:  2016-10-07       Impact factor: 4.615

  2 in total

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