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Digital Health Intervention to Optimize Heart Failure Management After Hospital Discharge in Brazil (OPT-HF): A Randomized Clinical Trial

In brief

A digital heart failure program cut 90-day hospitalizations from 22% to 10%

In a 154-patient Brazilian trial, a digital program pairing remote monitoring, teleconsultations and education improved medication optimization scores by 3 points more than usual care at 90 days. Hospitalizations were also less frequent, while deaths did not differ significantly; the small trial and short follow-up leave the longer-term effects uncertain.

Journal
Circulation. Heart failure (Q1)
Published
6 November 2026
Study design
Randomized controlled trial
Evidence level
Level 1, High (CEBM 1b)
Authors
Ana L A Ciminelli, Alexander T Sandhu, Chris T Longenecker, Lilian C Rezende, Lidyane V Camelo, Beatriz Polachini A Gonçalves, et al.
PMID
42993694
DOI
10.1161/CIRCHEARTFAILURE.126.015214

Why clinicians should know about it

  • Picked for Cardiology and Cardiovascular Medicine (paper of the day, 7 November 2026): Randomized trial improves GDMT optimization after HFrEF hospitalization
  • Picked for Family Practice (paper of the day, 7 November 2026): Randomized trial improves heart-failure therapy optimization after discharge

Abstract

BACKGROUND: Barriers to optimizing guideline-directed medical therapy (GDMT) for heart failure include infrequent clinical visits, clinician inertia, and poor patient knowledge. Digital health interventions (DHIs) may mitigate these barriers, but evidence from low- and middle-income countries is limited. We evaluated whether a DHI would improve GDMT use and other outcomes in Brazil. METHODS: We enrolled adults admitted for heart failure with ejection fraction <50% and GDMT gaps (≥1 GDMT class not started or ≥2 classes ≤50% target dose) across 5 Brazilian public hospitals from November 2023 to August 2025. Participants were randomized to usual care or the DHI comprising a patient-facing app linked to a provider dashboard, supporting nurse-led remote monitoring, cardiologist teleconsultations, and self-care education. The primary outcome was the between-group difference in mean heart failure GDMT score (0-12) at 90 days. Secondary outcomes included differences in health status, self-care, hospitalization rates, and all-cause mortality. Intention-to-treat analyses used baseline-adjusted linear regression and estimated risk ratios. RESULTS: Among 154 randomized patients (DHI: 87; usual care: 67), mean age was 65±14 years; 62% were male, 66% were Black, 44% had ≤4 years of education, and 68% were New York Heart Association class III/IV. Primary outcome data were available for 141 participants (91.6%; DHI: 81; usual care: 60). Mean GDMT scores increased from 7.2 in both groups to 10.5 with DHI versus 7.5 with usual care at 90 days (changes: +3.3 versus +0.3 points; adjusted difference, 3.01 [95% CI, 2.30-3.73]; P<0.001). A borderline difference was observed in health status (7.89; P=0.052). Improvements were observed in self-care (β=14.79 [95% CI, 9.78-19.81]; P<0.001). Fewer participants were hospitalized with DHI than usual care (9/87 [10.3%] versus 15/67 [22.4%]; risk ratio, 0.46 [95% CI, 0.21-0.99]; P=0.048), with no statistically significant difference for deaths. CONCLUSIONS: In patients hospitalized for heart failure in Brazil, a context-adapted DHI improved GDMT use, self-care, and reduced hospitalizations. These findings provide early randomized evidence supporting DHI for GDMT optimization in low-resource settings. REGISTRATION: URL: https://ensaiosclinicos.gov.br/rg/RBR-10vpf9bm; Unique identifier: U1111-1295-1864.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.