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The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases

OBJECTIVES: The “cohort multiple randomized controlled trial” (cmRCT) is a recent innovation by which novel interventions are trialed within large longitudinal cohorts of patients to gain efficiencies and align trials more closely to standard clinical practice. The use of cmRCTs is outpacing its met...

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Autores principales: Reeves, David, Howells, Kelly, Sidaway, Mark, Blakemore, Amy, Hann, Mark, Panagioti, Maria, Bower, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844670/
https://www.ncbi.nlm.nih.gov/pubmed/29277558
http://dx.doi.org/10.1016/j.jclinepi.2017.12.008
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author Reeves, David
Howells, Kelly
Sidaway, Mark
Blakemore, Amy
Hann, Mark
Panagioti, Maria
Bower, Peter
author_facet Reeves, David
Howells, Kelly
Sidaway, Mark
Blakemore, Amy
Hann, Mark
Panagioti, Maria
Bower, Peter
author_sort Reeves, David
collection PubMed
description OBJECTIVES: The “cohort multiple randomized controlled trial” (cmRCT) is a recent innovation by which novel interventions are trialed within large longitudinal cohorts of patients to gain efficiencies and align trials more closely to standard clinical practice. The use of cmRCTs is outpacing its methodological understanding, and more appropriate methods for designing and analyzing such trials are urgently needed. STUDY DESIGN AND SETTING: We established the UK Comprehensive Longitudinal Assessment of Salford Integrated Care cohort of 4,377 patients with long-term conditions within which we are conducting a cmRCT (“Proactive Telephone Coaching and Tailored Support”) of telephone-based health coaching. RESULTS: We identify some key methodological challenges to the use of the cmRCT in actual practice. Principal are issues around statistical power, sample size, and treatment effect estimation, for which we provide appropriate methods. Sampling procedures commonly applied in conventional RCTs can result in unintentional selection bias. The fixed data collection points that feature in cmRCTs can also threaten validity. CONCLUSION: The cmRCT may offer advantages over conventional trial designs. However, a cmRCT requires appropriate power calculation, sampling, and analysis procedures; else, studies may be underpowered or subject to validity biases. We offer solutions to some of the key issues, but further methodological investigations are needed. Cohort multiple RCT–specific Consolidated Standards of Reporting Trials guidance may be indicated.
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spelling pubmed-58446702018-03-12 The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases Reeves, David Howells, Kelly Sidaway, Mark Blakemore, Amy Hann, Mark Panagioti, Maria Bower, Peter J Clin Epidemiol Article OBJECTIVES: The “cohort multiple randomized controlled trial” (cmRCT) is a recent innovation by which novel interventions are trialed within large longitudinal cohorts of patients to gain efficiencies and align trials more closely to standard clinical practice. The use of cmRCTs is outpacing its methodological understanding, and more appropriate methods for designing and analyzing such trials are urgently needed. STUDY DESIGN AND SETTING: We established the UK Comprehensive Longitudinal Assessment of Salford Integrated Care cohort of 4,377 patients with long-term conditions within which we are conducting a cmRCT (“Proactive Telephone Coaching and Tailored Support”) of telephone-based health coaching. RESULTS: We identify some key methodological challenges to the use of the cmRCT in actual practice. Principal are issues around statistical power, sample size, and treatment effect estimation, for which we provide appropriate methods. Sampling procedures commonly applied in conventional RCTs can result in unintentional selection bias. The fixed data collection points that feature in cmRCTs can also threaten validity. CONCLUSION: The cmRCT may offer advantages over conventional trial designs. However, a cmRCT requires appropriate power calculation, sampling, and analysis procedures; else, studies may be underpowered or subject to validity biases. We offer solutions to some of the key issues, but further methodological investigations are needed. Cohort multiple RCT–specific Consolidated Standards of Reporting Trials guidance may be indicated. Elsevier 2018-03 /pmc/articles/PMC5844670/ /pubmed/29277558 http://dx.doi.org/10.1016/j.jclinepi.2017.12.008 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Reeves, David
Howells, Kelly
Sidaway, Mark
Blakemore, Amy
Hann, Mark
Panagioti, Maria
Bower, Peter
The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
title The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
title_full The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
title_fullStr The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
title_full_unstemmed The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
title_short The cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
title_sort cohort multiple randomized controlled trial design was found to be highly susceptible to low statistical power and internal validity biases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844670/
https://www.ncbi.nlm.nih.gov/pubmed/29277558
http://dx.doi.org/10.1016/j.jclinepi.2017.12.008
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