ArticleAmerican heart journal plus : cardiology research and practice2021
Remote monitoring for heart failure: Assessing the risks of readmission and mortality.
Article in American heart journal plus : cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Feasibility of a Mobile-Based Home Monitoring System for Patients With Heart Failure: Mixed Methods Pilot Study.JMIR human factors · 2026Article
- Organisational Impact of a Remote Patient Monitoring System for Heart Failure Management: The Experience of 29 Cardiology Departments in France.International journal of environmental research and public health · 2023Article
- Remote monitoring of heart failure patients: To change by observation.American heart journal plus : cardiology research and practice · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Study objective: Remote monitoring (RM) can help patients with heart failure (HF) remain free of hospitalization. Our objective was to implement a patient-centered RM program that ensured timely clinical response, which would be associated with reduced mortality. Design: This was a retrospective, observational, propensity-matched study. Setting: A large regional health system between 9/1/2016-1/31/2018. Participants: Patients admitted with acute HF exacerbation were matched on key variables. Up to two comparison patients were selected for each RM user. Interventions: We used an algorithmic approach to assess daily physiologic data, assess symptoms, provide patient education, encourage patient self-management, and triage medical problems. Main outcome measures: We assessed all-cause mortality using Kaplan-Meier and log rank analysis. We used Cox proportional hazards to compare risk of death. Results: Our cohort of 680 RM users and 1198 comparisons were similar across baseline characteristics except age (74.7 years versus 76.6 years, Conclusions: RM that responds to biometric data and encourages patient self-management can be used in a large hospital system and is associated with decreased all-cause mortality. Our findings underscore RM technology as a method to improve HF care.
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Registered trials
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