Published April 17, 2025
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Digital health intervention to optimise heart failure management after hospital discharge in Brazil (OPT-HF): a randomised clinical trial protocol.

  • 1. Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • 2. Universidade Federal de Minas Gerais
  • 3. Division of Cardiology and Stanford Prevention Research Center, School of Medicine, Stanford University, Stanford, California, USA.
  • 4. Stanford University
  • 5. Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • 6. McGill University Health Centre Research Institute, Montreal, Quebec, Canada.
  • 7. McGill University
  • 8. Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • 9. University of Cincinnati School of Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
  • 10. University of Cincinnati
  • 11. Division of Cardiology and Department of Global Health, University of Washington, Seattle, Washington, USA.
  • 12. University of Washington
  • 13. Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil luisabrant@gmail.com.

Description

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<50%) and medication optimisation gaps (at least one GDMT class not started or two among those with prescribed dosage≤50% of the target dose). All participants will receive a written booklet and SUS usual care. Randomisation will be stratified by site. The intervention includes a mobile application (app) to engage patients, developed through a human-centred design. The app's main features are a check-in page for daily collection of participants' health status, vital signs and weight; a remote educational programme; a chat function during working hours and longitudinal graphical representations of participants' data. The participants' data will be managed daily by a nurse, linked to a cardiologist for teleconsultations. Predefined clinical decision trees will guide actions, including alarm signs and GDMT optimisation. The primary outcome will be changes in GDMT from baseline to end of follow-up in 90 days. Secondary outcomes will include all-cause readmission, HF-related rehospitalisation, change in health status and HF knowledge, and implementation outcomes based on the RE-AIM framework. The analysis of outcomes will follow the intention-to-treat principle. 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). © Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
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