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Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)

BACKGROUND: Most adult intensive care units (ICUs) worldwide adopt restrictive family visitation models (RFVMs). However, evidence, mostly from non-randomized studies, suggests that flexible adult ICU visiting hours are safe policies that can result in benefits such as prevention of delirium and inc...

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Autores principales: Sganzerla, Daniel, Teixeira, Cassiano, Robinson, Caroline Cabral, Kochhann, Renata, Santos, Mariana Martins Siqueira, de Moura, Rafaela Moraes, Barbosa, Mirceli Goulart, da Silva, Daiana Barbosa, Ribeiro, Tarissa, Eugênio, Cláudia, Schneider, Daniel, Mariani, Débora, Jeffman, Rodrigo Wiltgen, Bozza, Fernando, Cavalcanti, Alexandre Biasi, Azevedo, Luciano Cesar Pontes, Machado, Flávia Ribeiro, Salluh, Jorge Ibrain, Pellegrini, José Augusto Santos, Moraes, Rafael Barberena, Damiani, Lucas Petri, da Silva, Nilton Brandão, Falavigna, Maicon, Rosa, Regis Goulart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245900/
https://www.ncbi.nlm.nih.gov/pubmed/30454019
http://dx.doi.org/10.1186/s13063-018-3006-8
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author Sganzerla, Daniel
Teixeira, Cassiano
Robinson, Caroline Cabral
Kochhann, Renata
Santos, Mariana Martins Siqueira
de Moura, Rafaela Moraes
Barbosa, Mirceli Goulart
da Silva, Daiana Barbosa
Ribeiro, Tarissa
Eugênio, Cláudia
Schneider, Daniel
Mariani, Débora
Jeffman, Rodrigo Wiltgen
Bozza, Fernando
Cavalcanti, Alexandre Biasi
Azevedo, Luciano Cesar Pontes
Machado, Flávia Ribeiro
Salluh, Jorge Ibrain
Pellegrini, José Augusto Santos
Moraes, Rafael Barberena
Damiani, Lucas Petri
da Silva, Nilton Brandão
Falavigna, Maicon
Rosa, Regis Goulart
author_facet Sganzerla, Daniel
Teixeira, Cassiano
Robinson, Caroline Cabral
Kochhann, Renata
Santos, Mariana Martins Siqueira
de Moura, Rafaela Moraes
Barbosa, Mirceli Goulart
da Silva, Daiana Barbosa
Ribeiro, Tarissa
Eugênio, Cláudia
Schneider, Daniel
Mariani, Débora
Jeffman, Rodrigo Wiltgen
Bozza, Fernando
Cavalcanti, Alexandre Biasi
Azevedo, Luciano Cesar Pontes
Machado, Flávia Ribeiro
Salluh, Jorge Ibrain
Pellegrini, José Augusto Santos
Moraes, Rafael Barberena
Damiani, Lucas Petri
da Silva, Nilton Brandão
Falavigna, Maicon
Rosa, Regis Goulart
author_sort Sganzerla, Daniel
collection PubMed
description BACKGROUND: Most adult intensive care units (ICUs) worldwide adopt restrictive family visitation models (RFVMs). However, evidence, mostly from non-randomized studies, suggests that flexible adult ICU visiting hours are safe policies that can result in benefits such as prevention of delirium and increase in satisfaction with care. Accordingly, the ICU Visits Study was designed to compare the effectiveness and safety of a flexible family visitation model (FFVM) vs. an RFVM on delirium prevention among ICU patients, and also to analyze its potential effects on family members and ICU professionals. METHODS/DESIGN: The ICU Visits Study is a cluster-randomized crossover trial which compares an FFVM (12 consecutive ICU visiting hours per day) with an RFVM (< 4.5 ICU visiting hours per day) in 40 Brazilian adult ICUs. Participant ICUs are randomly assigned to either an FFVM or RFVM in a 1:1 ratio. After enrollment and follow-up of 25 patients, each ICU is crossed over to the other visitation model, until 25 more patients per site are enrolled and followed. The primary outcome is the cumulative incidence of delirium measured by the Confusion Assessment Method for the ICU. Secondary and tertiary outcomes include relevant measures of effectiveness and safety of ICU visiting policies among patients, family members, and ICU professionals. Herein, we describe all primary statistical procedures that will be used to evaluate the results and perform exploratory and sensitivity analyses of this study. This pre-specified statistical analysis plan was written and submitted without knowledge of the study data. DISCUSSION: This a priori statistical analysis plan aims to enhance the transparency of our study, facilitating unbiased analyses of ICU visit study data, and provide guidance for statistical analysis for groups conducting studies in the same field. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02932358. Registered on 11 October 2016.
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spelling pubmed-62459002018-11-26 Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study) Sganzerla, Daniel Teixeira, Cassiano Robinson, Caroline Cabral Kochhann, Renata Santos, Mariana Martins Siqueira de Moura, Rafaela Moraes Barbosa, Mirceli Goulart da Silva, Daiana Barbosa Ribeiro, Tarissa Eugênio, Cláudia Schneider, Daniel Mariani, Débora Jeffman, Rodrigo Wiltgen Bozza, Fernando Cavalcanti, Alexandre Biasi Azevedo, Luciano Cesar Pontes Machado, Flávia Ribeiro Salluh, Jorge Ibrain Pellegrini, José Augusto Santos Moraes, Rafael Barberena Damiani, Lucas Petri da Silva, Nilton Brandão Falavigna, Maicon Rosa, Regis Goulart Trials Update BACKGROUND: Most adult intensive care units (ICUs) worldwide adopt restrictive family visitation models (RFVMs). However, evidence, mostly from non-randomized studies, suggests that flexible adult ICU visiting hours are safe policies that can result in benefits such as prevention of delirium and increase in satisfaction with care. Accordingly, the ICU Visits Study was designed to compare the effectiveness and safety of a flexible family visitation model (FFVM) vs. an RFVM on delirium prevention among ICU patients, and also to analyze its potential effects on family members and ICU professionals. METHODS/DESIGN: The ICU Visits Study is a cluster-randomized crossover trial which compares an FFVM (12 consecutive ICU visiting hours per day) with an RFVM (< 4.5 ICU visiting hours per day) in 40 Brazilian adult ICUs. Participant ICUs are randomly assigned to either an FFVM or RFVM in a 1:1 ratio. After enrollment and follow-up of 25 patients, each ICU is crossed over to the other visitation model, until 25 more patients per site are enrolled and followed. The primary outcome is the cumulative incidence of delirium measured by the Confusion Assessment Method for the ICU. Secondary and tertiary outcomes include relevant measures of effectiveness and safety of ICU visiting policies among patients, family members, and ICU professionals. Herein, we describe all primary statistical procedures that will be used to evaluate the results and perform exploratory and sensitivity analyses of this study. This pre-specified statistical analysis plan was written and submitted without knowledge of the study data. DISCUSSION: This a priori statistical analysis plan aims to enhance the transparency of our study, facilitating unbiased analyses of ICU visit study data, and provide guidance for statistical analysis for groups conducting studies in the same field. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02932358. Registered on 11 October 2016. BioMed Central 2018-11-19 /pmc/articles/PMC6245900/ /pubmed/30454019 http://dx.doi.org/10.1186/s13063-018-3006-8 Text en © The Author(s). 2018 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 Update
Sganzerla, Daniel
Teixeira, Cassiano
Robinson, Caroline Cabral
Kochhann, Renata
Santos, Mariana Martins Siqueira
de Moura, Rafaela Moraes
Barbosa, Mirceli Goulart
da Silva, Daiana Barbosa
Ribeiro, Tarissa
Eugênio, Cláudia
Schneider, Daniel
Mariani, Débora
Jeffman, Rodrigo Wiltgen
Bozza, Fernando
Cavalcanti, Alexandre Biasi
Azevedo, Luciano Cesar Pontes
Machado, Flávia Ribeiro
Salluh, Jorge Ibrain
Pellegrini, José Augusto Santos
Moraes, Rafael Barberena
Damiani, Lucas Petri
da Silva, Nilton Brandão
Falavigna, Maicon
Rosa, Regis Goulart
Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)
title Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)
title_full Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)
title_fullStr Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)
title_full_unstemmed Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)
title_short Statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the ICU Visits Study)
title_sort statistical analysis plan for a cluster-randomized crossover trial comparing the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units (the icu visits study)
topic Update
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245900/
https://www.ncbi.nlm.nih.gov/pubmed/30454019
http://dx.doi.org/10.1186/s13063-018-3006-8
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