ArticleJournal of medical systems2011
A remote patient monitoring system for congestive heart failure.
Article in Journal of medical systems, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis 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
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 151 citations in OpenAlex.
- Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial.Journal of the American Medical Informatics Association : JAMIA · 2025Trial
- Digital Health Technologies to Promote Healthy Eating and Physical Activity and Reduce Risk Factors for Cardiovascular Disease in Older Adults: A Pilot Study.The Journal of cardiovascular nursingTrial
- Navigating Through Innovation in Elderly's Health: A Scoping Review of Digital Health Interventions.Public health reviews · 2024Article
- Personal health monitoring in the armed forces - scouting the ethical dimension : A case study in the Netherlands Armed Forces during the Covid-19 pandemic.BMC medical ethics · 2023Article
- Usability and Satisfaction Outcomes from a Pilot Open Trial Examining Remote Patient Monitoring to Treat Pediatric Obesity during the COVID-19 Pandemic.International journal of environmental research and public health · 2023Article
- Physical Activity Behavior of Patients at a Skilled Nursing Facility: Longitudinal Cohort Study.JMIR mHealth and uHealth · 2022Article
- Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects.Sensors (Basel, Switzerland) · 2022Review
- Enhancing mHealth data collection applications with sensing capabilities.Frontiers in public health · 2022Article
- A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring.Medical & biological engineering & computing · 2021Review
- A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring.Sensors (Basel, Switzerland) · 2021Article
- Design, Implementation, and Examination of a Remote Patient Monitoring System for Pediatric Obesity: Protocol for an Open Trial Pilot Study.JMIR research protocols · 2021Article
- Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges.Diagnostics (Basel, Switzerland) · 2021Review
- Lived Experiences and Technological Literacy of Heart Failure Patients and Clinicians at a Cardiac Care Centre in Uganda.Annals of global health · 2020Article
- Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment.BMC geriatrics · 2020Article
- Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure.Cardiac failure review · 2020Review
- A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning.Journal of medical systems · 2020Article
- Integrating remote monitoring into heart failure patients' care regimen: A pilot study.PloS one · 2020Article
- Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study.JMIR medical informatics · 2019Article
- A Combination of Indoor Localization and Wearable Sensor-Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results.JMIR mHealth and uHealth · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Congestive heart failure (CHF) is a leading cause of death in the United States affecting approximately 670,000 individuals. Due to the prevalence of CHF related issues, it is prudent to seek out methodologies that would facilitate the prevention, monitoring, and treatment of heart disease on a daily basis. This paper describes WANDA (Weight and Activity with Blood Pressure Monitoring System); a study that leverages sensor technologies and wireless communications to monitor the health related measurements of patients with CHF. The WANDA system is a three-tier architecture consisting of sensors, web servers, and back-end databases. The system was developed in conjunction with the UCLA School of Nursing and the UCLA Wireless Health Institute to enable early detection of key clinical symptoms indicative of CHF-related decompensation. This study shows that CHF patients monitored by WANDA are less likely to have readings fall outside a healthy range. In addition, WANDA provides a useful feedback system for regulating readings of CHF patients.
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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.