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Postgrad Med ; 136(6): 633-640, 2024 Aug.
Article in English | MEDLINE | ID: mdl-39093639

ABSTRACT

INTRODUCTION: Telemedicine has shown promising results, allowing specialists to provide rapid and effective care in remote locations. However, to our knowledge, current evidence is not robust enough to prove the effectiveness of this tool. This cluster-randomized trial (CRT) aimed to evaluate the impact of telemedicine on clinical care indicators in pediatric intensive care units (PICUs). METHODS: An open-label CRT was conducted in 16 PICUs within the Brazilian public health system. The trial took place from August 2022 to December 2023 and compared an intervention group, which received telemedicine support, with a control group, which received usual PICU care. The primary outcome was the PICU length of stay. The main secondary outcomes were mortality rate and ventilator-free days. RESULTS: A total of 1393 participants were included, 657 in the control group and 736 in the intervention group. The mean PICU length of stay was 10.42 (SD, 10.71) days for the control group and 11.52 (SD, 10.80) days for the intervention group. The overall mean of ventilator-free days was 6.82 (SD, 7.71) days. Regarding mortality, 7.54% of participants died in total. No significant difference was found in the outcomes between the groups. CONCLUSION: Despite the potential benefits of telemedicine, its effective implementation in the Brazilian public health system faces considerable challenges, highlighting the continued importance of investigating and improving the role of telemedicine in pediatric critical care. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT05260710 and ReBEC - RBR-7×j4wyp.


Subject(s)
Intensive Care Units, Pediatric , Length of Stay , Telemedicine , Humans , Intensive Care Units, Pediatric/organization & administration , Intensive Care Units, Pediatric/statistics & numerical data , Female , Male , Length of Stay/statistics & numerical data , Brazil , Child, Preschool , Infant , Child , Respiration, Artificial/statistics & numerical data , Respiration, Artificial/methods
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