ReviewInternational journal of heart failure2021
Remote Patient Monitoring in Heart Failure: Factors for Clinical Efficacy.
Review in International journal of heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Non-Invasive Telemonitoring in Heart Failure: A Systematic Review.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Remote Monitoring of Patients with Heart Failure: Characteristics of Effective Programs and Implementation Strategies.Vascular health and risk management · 2025Pooled it
- Remote Patient Monitoring and Digital Therapeutics Enhancing the Continuum of Care in Heart Failure: Nonrandomized Pilot Study.JMIR formative research · 2024Trial
- Effectiveness of a Smartphone App-Based Intervention With Bluetooth-Connected Monitoring Devices and a Feedback System in Heart Failure (SMART-HF Trial): Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Real-World Impact of Remote Patient Management on Care Consumption and Care Time in Heart Failure: Retrospective Cohort Study.JMIR formative research · 2026Article
- Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing.Neurorehabilitation and neural repair · 2026Article
- Role of telemedicine in cardiovascular care in low- and middle-income countries (LMICs).American heart journal plus : cardiology research and practice · 2026Review
- Co-constructing stories with patients with heart failure to envision future remote care possibilities: a qualitative interview and sketching study.Frontiers in digital health · 2026Article
- The Narrative Review: Advancements in Heart Failure Diagnosis and Management using Artificial Intelligence: A New Era of Patient Care.Current cardiology reviews · 2026Review
- The Impact of Remote Patient Monitoring on Clinical Outcomes in Heart Failure Patients: A Meta-Analysis.Cureus · 2025Review
- Rurality, travel distance, and effectiveness of remote patient management in patients with heart failure in the TIM-HF2 trial in Germany: a pre-specified analysis of an open-label, randomised controlled trial.The Lancet regional health. Europe · 2025Article
- Perspectives of key stakeholders on integrating wearable sensor technology into rehabilitation care: a mixed-methods analysis.Frontiers in digital health · 2025Article
- Cost-Effectiveness Analysis of a Heart Failure Management System in the United States.Journal of health economics and outcomes research · 2025Article
- Feasibility, Acceptability, and Preliminary Effectiveness of a Combined Digital Platform and Community Health Worker Intervention for Patients With Heart Failure: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2024Article
- Home Bioelectrical Impedance Analysis Management System in Patients With Heart Failure: Rationale and Study Design.International journal of heart failure · 2024Article
- Beyond the Pain Management Clinic: The Role of AI-Integrated Remote Patient Monitoring in Chronic Disease Management - A Narrative Review.Journal of pain research · 2024Review
- Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future.International journal of heart failure · 2024Review
- Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges.APL bioengineering · 2023Review
- Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses.Journal of cardiovascular development and disease · 2023Article
- Smartphone-Based Remote Monitoring in Heart Failure With Reduced Ejection Fraction: Retrospective Cohort Study of Secondary Care Use and Costs.JMIR cardio · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Despite clinical advances in its treatment, heart failure (HF) is associated with significant adverse clinical outcomes and is among the greatest drivers of healthcare utilization. Outpatient management of HF remains suboptimal, with gaps in the provision of evidence-based therapies, and difficulties in predicting and managing clinical decompensation. Remote patient monitoring (RPM) has the potential to address these issues, and thus has been of increasing interest to HF clinicians and health systems. Economic incentives, including increasing RPM reimbursement and HF readmission penalties, are also spurring increased interest in RPM. This review establishes a framework for evaluating RPM based on its various components: 1) patient data collection, 2) data transmission, analysis, and presentation, and 3) care team review and clinical action. The existing evidence regarding RPM in HF management is also reviewed. Based on the data, we identify RPM features associated with clinical efficacy and describe emerging digital tools that have the promise of addressing current needs.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.