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A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health

BACKGROUND: In a randomised controlled trial, contamination is defined as the receipt of active intervention amongst participants in the control arm. This review assessed the processes leading to contamination, its typical quantity, methods used to mitigate it, and impact of use of cluster randomisa...

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Autores principales: Magill, Nicholas, Knight, Ruth, McCrone, Paul, Ismail, Khalida, Landau, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323722/
https://www.ncbi.nlm.nih.gov/pubmed/30616508
http://dx.doi.org/10.1186/s12874-018-0646-z
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author Magill, Nicholas
Knight, Ruth
McCrone, Paul
Ismail, Khalida
Landau, Sabine
author_facet Magill, Nicholas
Knight, Ruth
McCrone, Paul
Ismail, Khalida
Landau, Sabine
author_sort Magill, Nicholas
collection PubMed
description BACKGROUND: In a randomised controlled trial, contamination is defined as the receipt of active intervention amongst participants in the control arm. This review assessed the processes leading to contamination, its typical quantity, methods used to mitigate it, and impact of use of cluster randomisation to prevent it on study findings in trials of complex interventions in mental health. METHODS: This is a scoping review of trial design approaches and methods of study conduct to address contamination. Studies included were randomised controlled trials of complex interventions in mental health that described the process leading to, amount of, or solution used to counter contamination. The Medline, Embase, and PsycInfo databases were searched for trials published between 2000 and 2015. Risk of bias was assessed using the Jadad score and domains recommended by Cochrane plus some relevant to cluster randomised trials. RESULTS: Two hundred and thirty-four articles were included in the review. The main processes that led to contamination were health professionals delivering both active and comparator treatments and communication among clinicians and participants from the different trial arms. Twenty-three trials (10%) measured binary treatment receipt in the control arm with median 13% of participants found to be contaminated (IQR 5–33%). The most common design approach for dealing with contamination was the use of cluster randomisation (n = 93). In addition, many researchers used simple trial conduct methods to minimise contamination due to suspected contamination processes, such as organising for each clinician to provide only one treatment and separating trial arms spatially or temporally. There was little evidence for a relationship between cluster randomisation to avoid contamination and size of treatment effect estimate. CONCLUSION: There was some evidence of modest levels of treatment contamination with a large range, although a minority of studies reported the amount of contamination. A limitation was that many trials described the problem in little detail. Overall there is a need for greater measurement and reporting of treatment receipt in the control arm of trials. Researchers should be aware of trial conduct methods that can be used to minimise contamination without resorting to cluster randomisation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-018-0646-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-63237222019-01-10 A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health Magill, Nicholas Knight, Ruth McCrone, Paul Ismail, Khalida Landau, Sabine BMC Med Res Methodol Research Article BACKGROUND: In a randomised controlled trial, contamination is defined as the receipt of active intervention amongst participants in the control arm. This review assessed the processes leading to contamination, its typical quantity, methods used to mitigate it, and impact of use of cluster randomisation to prevent it on study findings in trials of complex interventions in mental health. METHODS: This is a scoping review of trial design approaches and methods of study conduct to address contamination. Studies included were randomised controlled trials of complex interventions in mental health that described the process leading to, amount of, or solution used to counter contamination. The Medline, Embase, and PsycInfo databases were searched for trials published between 2000 and 2015. Risk of bias was assessed using the Jadad score and domains recommended by Cochrane plus some relevant to cluster randomised trials. RESULTS: Two hundred and thirty-four articles were included in the review. The main processes that led to contamination were health professionals delivering both active and comparator treatments and communication among clinicians and participants from the different trial arms. Twenty-three trials (10%) measured binary treatment receipt in the control arm with median 13% of participants found to be contaminated (IQR 5–33%). The most common design approach for dealing with contamination was the use of cluster randomisation (n = 93). In addition, many researchers used simple trial conduct methods to minimise contamination due to suspected contamination processes, such as organising for each clinician to provide only one treatment and separating trial arms spatially or temporally. There was little evidence for a relationship between cluster randomisation to avoid contamination and size of treatment effect estimate. CONCLUSION: There was some evidence of modest levels of treatment contamination with a large range, although a minority of studies reported the amount of contamination. A limitation was that many trials described the problem in little detail. Overall there is a need for greater measurement and reporting of treatment receipt in the control arm of trials. Researchers should be aware of trial conduct methods that can be used to minimise contamination without resorting to cluster randomisation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-018-0646-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-07 /pmc/articles/PMC6323722/ /pubmed/30616508 http://dx.doi.org/10.1186/s12874-018-0646-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Magill, Nicholas
Knight, Ruth
McCrone, Paul
Ismail, Khalida
Landau, Sabine
A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
title A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
title_full A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
title_fullStr A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
title_full_unstemmed A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
title_short A scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
title_sort scoping review of the problems and solutions associated with contamination in trials of complex interventions in mental health
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323722/
https://www.ncbi.nlm.nih.gov/pubmed/30616508
http://dx.doi.org/10.1186/s12874-018-0646-z
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