Aims Methods and results ConclusionMethods of non‐invasive remote patient monitoring (RPM) for heart failure (HF) remain diverse. Understanding factors that influence the effectiveness of RPM on HF‐related and all‐cause hospitalizations, mortality, and emergency department visits is crucial for developing successful RPM interventions. This meta‐analysis aims to synthesize and compare existing literature on RPM components that impact HF‐related and all‐cause hospitalizations, mortality and emergency department visits in HF patients.A systematic search of electronic databases (PubMed, EMBASE, CENTRAL) identified randomized controlled trials from January 2012 to June 2023, comparing non‐invasive RPM interventions for HF with usual care. A random‐effects meta‐analysis assessed outcomes, and additional analyses identified effective RPM components. A total of 41 studies with 16 312 patients (mean follow‐up: 9.88 ± 6.37 months) were included. RPM was associated with lower mortality risk (pooled odds ratio [OR] 0.81 95% confidence interval [CI] 0.69–0.95; I2 = 0.39) and reduced first HF hospitalization risk (pooled OR 0.78, 95% CI: 0.70–0.87; I2 = 0.21) compared to usual care. RPM interventions with a self‐management module (p < 0.001) and education module (p = 0.028) significantly lowered HF‐related hospitalizations. Video calls during RPM interventions further reduced HF‐related (p = 0.047) and all‐cause hospitalizations (p < 0.001).This meta‐analysis confirms the efficacy of RPM in reducing HF‐related hospitalizations and mortality. Effective components include self‐management, education modules, and video communication. However, heterogeneity among interventions challenges the overall evaluation. Modernizing RPM with advanced technologies like non‐invasive sensors, artificial intelligence, and cardiac telerehabilitation could enhance its potential. [ABSTRACT FROM AUTHOR]

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