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)
Daniel Sganzerla,
Cassiano Teixeira,
Caroline Cabral Robinson,
Renata Kochhann,
Mariana Martins Siqueira Santos,
Rafaela Moraes de Moura,
Mirceli Goulart Barbosa,
Daiana Barbosa da Silva,
Tarissa Ribeiro,
Cláudia Eugênio,
Daniel Schneider,
Débora Mariani,
Rodrigo Wiltgen Jeffman,
Fernando Bozza,
Alexandre Biasi Cavalcanti,
Luciano Cesar Pontes Azevedo,
Flávia Ribeiro Machado,
Jorge Ibrain Salluh,
José Augusto Santos Pellegrini,
Rafael Barberena Moraes,
Lucas Petri Damiani,
Nilton Brandão da Silva,
Maicon Falavigna,
Regis Goulart Rosa
Affiliations
Daniel Sganzerla
Research Projects Office, Hospital Moinhos de Vento (HMV)
Cassiano Teixeira
Intensive Care Unit, HMV. Rua Ramiro Barcelos
Caroline Cabral Robinson
Research Projects Office, Hospital Moinhos de Vento (HMV)
Renata Kochhann
Research Projects Office, Hospital Moinhos de Vento (HMV)
Mariana Martins Siqueira Santos
Research Projects Office, Hospital Moinhos de Vento (HMV)
Rafaela Moraes de Moura
Research Projects Office, Hospital Moinhos de Vento (HMV)
Mirceli Goulart Barbosa
Research Projects Office, Hospital Moinhos de Vento (HMV)
Daiana Barbosa da Silva
Intensive Care Unit, HMV. Rua Ramiro Barcelos
Tarissa Ribeiro
Intensive Care Unit, HMV. Rua Ramiro Barcelos
Cláudia Eugênio
Intensive Care Unit, HMV. Rua Ramiro Barcelos
Daniel Schneider
Research Projects Office, Hospital Moinhos de Vento (HMV)
Débora Mariani
Research Projects Office, Hospital Moinhos de Vento (HMV)
Rodrigo Wiltgen Jeffman
Research Projects Office, Hospital Moinhos de Vento (HMV)
Fernando Bozza
Department of Critical Care, Instituto D’Or de Pesquisa e Ensino (IDOR)
Alexandre Biasi Cavalcanti
HCor Research Institute
Luciano Cesar Pontes Azevedo
Intensive Care Unit, Hospital Sírio-Libanês
Flávia Ribeiro Machado
Department of Anesthesiology, Pain and Intensive Care, Universidade Federal de São Paulo (UNIFESP)
Jorge Ibrain Salluh
HCor Research Institute
José Augusto Santos Pellegrini
Intensive Care Unit, Hospital de Clínicas de Porto Alegre (HCPA)
Rafael Barberena Moraes
Institute for Education and Research, HMV
Lucas Petri Damiani
HCor Research Institute
Nilton Brandão da Silva
Department of Internal Medicine, School of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA)
Abstract 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.