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Clinical Trial Summary

The objective of this study is to assess whether an intervention package via telemedicine consisting of daily multidisciplinary rounds with a specialist in intensive care medicine, an intervention package provided by a specialized multiprofessional team (nursing, physical therapy and clinical pharmacy) and a management intervention package, focused on quality and safety, reduces the length of stay in ICU patients in Brazil. Our hypothesis is that the intervention package via telemedicine has the potential to decrease the length of stay in ICU patients in Brazil. The study provides for the implementation of three interventions in association via telemedicine. - Daily multidisciplinary rounds conducted by a physician specialized in intensive care medicine - Intervention package by specialized multidisciplinary team (nursing, physiotherapy and clinical pharmacy). - Management intervention package (quality and safety). The main questions it aims to answer are: - Length of stay in ICU, measured in days, considering the time interval between admission to the ICU and the moment of physical transfer of the patient to another hospital admission area or external transfer. - ICU mortality. - Mechanical ventilation free time at 28 days. - Ventilator-associated events. - Patient Mobilization Density. - Standard resource use. - Standardized mortality rate.


Clinical Trial Description

BACKGROUND: ICU beds represent a scarce and high cost resource. This scenario is aggravated by the scarcity and heterogeneous distribution of specialists in intensive care medicine in Brazil. Telemedicine is an innovative and promising technology, with the possibility of making the daily multidisciplinary round accessible with the presence of intensive care medicine specialists throughout the national territory. In a previous study (Telescope Trial I), it was demonstrated that daily multidisciplinary round conducted via telemedicine by a remotely located medical specialist is a safe and feasible practice. However, little is known about different modalities of telemedicine care in the ICU environment, more specifically, about the impact of interventions performed by a multidisciplinary team (non-medical) and management interventions (quality and safety). SAMPLE SIZE CALCULATION: A total sample size of 18,750 to 25,000 patients will be considered to detect a reduction in the length of stay in the ICU on a logarithmic scale of 0.1479 (equivalent to a 1.1-day reduction compared to the baseline), resulting from the intervention package with a significance level of 5% and a minimum power of 95%. This variation in total sample size is due to different estimates of patients per period in the 25 Brazilian ICUs in question. It is estimated that there will be a variation of 30 to 40 patients recruited per month per ICU. PRIMARY OUTCOME: Length of stay in the ICU, measured in days, considering the time interval between admission to the ICU and the moment of physical transfer of the patient to another hospital admission area or external transfer. SECONDARY OUTCOMES: - ICU mortality. - Mechanical ventilation free time in 28 days. - Ventilator-associated events. - Patient Mobilization Density. - Standard resource use. - Standardized mortality rate. EXPLORATORY OUTCOMES: - In-hospital mortality. - Adherence to elevated bedside. - Adequate prevention of venous thromboembolism. - Accidental extubation rate. - Rate of patients with adequate glycemic control (defined as blood glucose <70mg/dl to >180mg/dl). - Rate of patients - day receiving oral or enteral diet. - Rate of patient-day under adequate sedation [defined by Richmond agitation and sedation scale (RASS) = -3 to +]. - Rate of patients on oxygen therapy in normoxia [defined as peripheral oxygen saturation (SpO2) ≤92% to ≥96%]. - Rate of ICU readmission within 48 hours. - Rate of early reintubation (<48h after extubation). - Rate of central venous catheter use. - Rate of indwelling urinary catheter use. - Central venous catheter use time. - Time of indwelling urinary catheter use. STATISTICAL ANALYSIS: All analyses will be described in detail in a statistical analysis plan, which will be finalized and submitted for publication before the database is closed and analyses begin. The primary statistical analyses will be conducted according to the intention-to-treat principle. Since ICUs will be randomized (not patients) and outcomes will be measured at the patient level, all analyses will be adjusted for clustering of data. The primary outcome, length of ICU stay, will be analyzed at the individual level using a generalized linear mixed model, including as fixed effect the group, and considering distributions that can fit an expected right skewness (such as truncated Poisson, Gamma or inverse Gaussian distribution, etc.), choosing the best fit according to model parameters. The goal of the mixed model is to be able to fit random vectors, taking into account the correlation of the observations of individuals in the same cluster. Thus, the model will have as random effect an intercept for each unit. To consider an eventual lack of balance, we will adjust the analysis model for the factors used in the stratification and for the outcome value at the unit level in the pre-randomization period (i.e., mean length of stay in the ICU of each unit), as suggested by the literature. Additionally, we will adjust for factors that have a correlation with length of stay, aiming to decrease variability between units, thus impacting intra cluster correlation and increasing the power of the study. The adjustment factors will be defined after the pre-randomization period data collection, and reported in a statistical analysis plan, published before closing the study database, as specified above. These factors are about severity (SAPS 3) and clinical or surgical profile. In the event of a significant amount of missing data on the primary endpoint, the analysis will be re-evaluated after using multiple imputation with chained equations, assuming that the data will be missing at random. Data collected during the transition period will not be analyzed for primary, secondary or exploratory endpoints. Sensitivity analyses and subgroups for the primary outcome: We will define, a priori, the following subgroups for analysis of the primary outcome: A - ICU length of stay stratified by clinical vs elective surgical and emergency surgical patients. B - Length of stay in ICU stratified by three groups (lower, middle and upper thirds) of severity determined by SAPS 3 score. C - ICU length of stay stratified by mechanically ventilated patients on admission (invasive mechanical ventilation). Similarly, in all other analyses, generalized linear mixed models will be used. Analyses of the pre-specified secondary outcomes and subgroup analyses will not be adjusted for multiple comparisons, thus should be interpreted as exploratory. Due to the importance of the SAPS 3 severity score, we will evaluate the calibration of the model with data from the pre-randomization period. If necessary, we will recalibrate the model for the study population. The significance level for all endpoints will be 0.05. All analyses will be performed with R software (version 4.2.0, the version will be updated at the time of the analysis). REGULATORY STATUS: The study will be conducted in accordance with the principles of the Declaration of Helsinki and in accordance with the Medical Research Involving Humans Act. APPROVAL FROM ETHICS AND REGULATORY AUTHORITIES: The study will be performed according to the national and international guidelines. The Institutional Review Board of the Hospital Israelita Albert Einstein has approved this study (CAAE: 69575123.0.1001.0071). The participating centers will not initiate the study until they have obtained approval from their respective local Institutional Review Boards. The need for informed consent is determined by the Institutional Review Board of each participating center. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05960994
Study type Interventional
Source Hospital Israelita Albert Einstein
Contact Renato CF Chaves, MD, MBA.
Phone +5511984481068
Email renato.carneiro@einstein.br
Status Not yet recruiting
Phase N/A
Start date November 1, 2023
Completion date February 28, 2026

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