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Non-communicable diseases (NCDs), such as diabetes, cardiovascular diseases and cancer, are major global public health concerns. Diet quality—particularly the consumption of ultra-processed foods—has been associated with increased risk of NCDs. Traditional cohort studies are often expensive and logistically complex. The NutriNet-Brasil cohort leverages a web-based approach, offering a cost-effective and practical solution for comprehensive data collection and long-term follow-up.
Recruitments began in January 2020 through mass media, social media campaigns and collaborations with health organisations. Eligible participants are adults (aged ≥18 years) living in Brazil with internet access. Participants complete self-administered online questionnaires covering dietary intake, health status and other health determinants. Dietary assessment is based on the Nova classification system, which categorises foods by their level of processing.
Over 88 000 participants have completed the initial questionnaire. The cohort is predominantly women (79.9%) and highly educated (67.9% had completed higher education). The web-based design enabled the development and application of innovative dietary assessment tools, including the Nova24h and the Nova24hScreener, specifically designed to evaluate food processing levels. These tools have shown good performance in capturing dietary patterns and are central to the cohort’s aim. The online platform facilitates efficient recruitment, data collection and participant retention.
NutriNet-Brasil is pioneering the development of web-based cohort methodologies and instruments tailored to food processing research. Future work includes leveraging collaborations with national and international research centres to conduct multidisciplinary analyses and inform public health policies.
To evaluate the impact of implementing a prototype of simulation-based educational technology on raising awareness among ICU nurses, improving communication in nursing handover, and promoting patient safety.
Qualitative study based on the conceptual framework of patient safety. The COREQ tool guided the presentation of the research report.
The research was conducted with 18 nurses from the ICU of a public hospital in Rio de Janeiro, Brazil, who worked directly in nursing handover. The technology implemented was developed based on communication failures identified in a previous stage of the macro research project. This evidence supported the development of a simulated scenario of a nursing handover of a critical patient, which was recorded in audio and video. The video addressed content (absence, incompleteness and lack of ordering of information) and behavioural errors (interruptions, distractions, noise and lack of clarity) during communication between intensive care nurses. The video was implemented with nurses through the use of telesimulation with debriefing. Finally, the nurses were subjected to a semi-structured interview to evaluate the potential of the technology, whose data underwent thematic analysis with an inductive model.
The nurses recognised the communication failures portrayed as part of their daily practice, reflected on their mistakes, and on actions to be adopted to change behaviour during the handover.
The simulation-based technology prototype has the potential to promote self-reflection and raise nurses' awareness of the need to change behaviours during the handover.
The simulation-based technology prototype can be applied as an educational strategy to improve communication safety in nursing handover.
No patient or public contribution.
Guideline-directed medical therapy (GDMT) for heart failure (HF) reduces adverse events, but is underused. Global barriers to GDMT optimisation include low frequency of visits, clinician inertia and poor patient knowledge, which may be mitigated by digital health interventions (DHI). In Brazil, low digital literacy and reduced access to technology may compromise these potential DHI’s beneficial effects. Our objective is to develop and test the effectiveness of a DHI to optimise GDMT in patients recently hospitalised for HF in the Brazilian public health system (Sistema Único de Saúde (SUS)).
This is a randomised, controlled, multicentre, parallel-group, clinical trial in which 154 patients being discharged from an HF-related hospitalisation will be randomised. Inclusion criteria are ≥18 years of age, reduced ejection fraction HF (EF
This study was approved by the Universidade Federal de Minas Gerais. Recruitment started in November 2023, and patients involved will sign an informed consent form. Results will be presented at scientific meetings and published in scientific journals in 2025, and will be disclosed in social media and presented to public health stakeholders.
Universal Trial Number U1111-1295-1864 Brazilian Clinical Trials Registry (https://ensaiosclinicos.gov.br/rg/RBR-10vpf9bm).
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