Ensuring trial validity by data quality assurance and diversification of monitoring methods.

Errors in the design, the conduct, the data collection process, and the analysis of a randomized trial have the potential to affect not only the safety of the patients in the trial, but also, through the introduction of bias, the safety of future patients. Trial monitoring, defined broadly to includ...

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Publicado en:Clinical Trials Vol. 5; no. 1; pp. 49 - 56
Autores principales: Baigent C, Harrell FE, Buyse M, Emberson JR, Altman DG
Formato: Journal Article
Publicado: Sage Publications, Ltd. 2008
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Ensuring trial validity by data quality assurance and diversification of monitoring methods.
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          Baigent C
          Harrell FE
          Buyse M
          Emberson JR
          Altman DG
        affil: Clinical Trial Service Unit & Epidemiological Studies Unit, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF. colin.baigent@ctsu.ox.ac.uk
      sug:
        subj:
          Clinical Trials Methods
          Clinical Trials
          Bias (Research)
          Quality Control (Technology)
          Risk Assessment
          Study Design
      ab: Errors in the design, the conduct, the data collection process, and the analysis of a randomized trial have the potential to affect not only the safety of the patients in the trial, but also, through the introduction of bias, the safety of future patients. Trial monitoring, defined broadly to include methods of oversight which begin when the study is designed and continue until it is reported in a publication, has a role to play in eliminating such errors. On-site monitoring can be extremely inefficient for the identification of errors most likely to compromise patient safety or bias study results. However, a variety of other monitoring strategies offer alternatives to on-site monitoring. Each new trial should conduct a risk assessment to identify the optimal means of monitoring, taking into account the likely sources of error, their consequences for patients, the study's validity, and the available resources. Trial management committees should consider central statistical monitoring a key aspect of such monitoring. The systematic application of this approach would be likely to lead to tangible benefits, and resources that are currently wasted on inefficient on-site monitoring could be diverted to increasing trial sample sizes or conducting more trials.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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