Literature DB >> 3072187

Compliance in clinical trials: impact on design, analysis and interpretation.

G W Pledger1.   

Abstract

A positive association between compliance and clinical outcome has been observed in several randomized, controlled, clinical trials. This association, seen in the placebo-treated group as well as the active-treatment group, clarifies the possibility that data analyses incorporating estimates of protocol adherence are potentially biased. In the presence of non-compliance, or missing data from any cause, several statistical analyses may seem plausible, with none clearly superior to the others. These may include an analysis of all patients randomized, with imputed values for missing data, and an analysis restricted to protocol-adherent patients. The recommended approach is a conservative one that examines consistency among the plausible analyses. Using compliance data in trial conduct can also introduce bias into trial results by inducing differential treatment of compliers and non-compliers. This possibility arises, for instance, when adherence is affected by the randomized treatment. Non-compliance can have a substantial impact on statistical power and sample size requirements in a clinical trial. Under certain assumptions, required sample sizes are doubled with 30% non-compliance and tripled with 40% non-compliance.

Entities:  

Mesh:

Year:  1988        PMID: 3072187

Source DB:  PubMed          Journal:  Epilepsy Res Suppl        ISSN: 0922-9833


  9 in total

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Review 2.  Compliance in clinical trials.

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3.  Measurement of patient compliance and the interpretation of randomized clinical trials.

Authors:  R Vander Stichele
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4.  Compliance with drug therapy.

Authors:  T Pullar
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5.  Compliance with medication in the Helsinki Heart Study.

Authors:  H Mäenpää; V Manninen; O P Heinonen
Journal:  Eur J Clin Pharmacol       Date:  1992       Impact factor: 2.953

6.  Standardized classification and framework for reporting and interpreting medication non-adherence in clinical trials.

Authors:  Fortunato F Senatore; Robert M Califf
Journal:  Eur Heart J       Date:  2019-07-01       Impact factor: 29.983

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8.  High adherence and low dropout rate in a virtual clinical study of atopic dermatitis through weekly reward-based personalized genetic lifestyle reports.

Authors:  Zarqa Ali; Kathryn Anderson; Andrei Chiriac; Anders Daniel Andersen; Ari Pall Isberg; Fernando Gesto Moreno; Aleksander Eiken; Simon Francis Thomsen; John Robert Zibert
Journal:  PLoS One       Date:  2020-07-02       Impact factor: 3.240

9.  Mitigating the Effects of Nonadherence in Clinical Trials.

Authors:  Thomas M Shiovitz; Earle E Bain; David J McCann; Phil Skolnick; Thomas Laughren; Adam Hanina; Daniel Burch
Journal:  J Clin Pharmacol       Date:  2016-01-22       Impact factor: 3.126

  9 in total

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