ArticleGerontology2015
A New Paradigm of Technology-Enabled ‘Vital Signs’ for Early Detection of Health Change for Older Adults.
Article in Gerontology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed.
- Gerontechnology Acceptance in Thai Older Adult Care Facilities-Sensor Network and Machine Learning Adoption: Mixed Methods Study.JMIR formative research · 2026Article
- A Community-in-the-Loop Approach to Smart Home Monitoring for Aging in Place: Mixed Methods Evaluation of a Co-Designed Prototype.JMIR aging · 2026Article
- Assessment of Frailty in Community-Dwelling Older Adults Using Smartphone-Based Digital Lifelogging: A Multi-Center, Prospective Observational Study.Sensors (Basel, Switzerland) · 2025Observational
- Classifying Adverse Events from SOAP Notes and Sensor Features in a Clinical Trial of Older Adults.medRxiv : the preprint server for health sciences · 2025Article
- Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review.BMC geriatrics · 2025Article
- Mobile health applications for older people in Asia: protocol for a systematic review of end-user perceptions and recommendations.BMJ open · 2025Article
- Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report.JMIR formative research · 2023Article
- Stepping Beyond Assessment: Fall Risk Prediction Models Among Older Adults from Cumulative Change in Gait Parameter Estimates.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Grading Nursing Care Study in Integrated Medical and Nursing Care Institution Based on Two-Stage Gray Synthetic Clustering Model under Social Network Context.International journal of environmental research and public health · 2022Article
- A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust.NPJ digital medicine · 2022Article
- Development of an Internet of Things Technology Platform (the NEX System) to Support Older Adults to Live Independently: Protocol for a Development and Usability Study.JMIR research protocols · 2022Article
- Eigenbehaviour as an Indicator of Cognitive Abilities.Sensors (Basel, Switzerland) · 2022Article
- Contactless Sleep Monitoring for Early Detection of Health Deteriorations in Community-Dwelling Older Adults: Exploratory Study.JMIR mHealth and uHealth · 2021Article
- Understanding the experiences of self-injurious behavior in autism spectrum disorder: Implications for monitoring technology design.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Unobtrusive Health Monitoring in Private Spaces: The Smart Home.Sensors (Basel, Switzerland) · 2021Review
- Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation.Frontiers in cardiovascular medicine · 2021Article
- Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis.Journal of medical Internet research · 2020Article
- Visioning the Future of Gerontological Digital Social Work.Journal of gerontological social work · 2020Review
- Wearable Based Calibration of Contactless In-home Motion Sensors for Physical Activity Monitoring in Community-Dwelling Older Adults.Frontiers in digital health · 2020Article
- Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling.IEEE transactions on bio-medical engineering · 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
10 authors.
Funding
Abstract
Environmentally embedded (nonwearable) sensor technology is in continuous use in elder housing to monitor a new set of ‘vital signs' that continuously measure the functional status of older adults, detect potential changes in health or functional status, and alert healthcare providers for early recognition and treatment of those changes. Older adult participants' respiration, pulse, and restlessness are monitored as they sleep. Gait speed, stride length, and stride time are calculated daily, and automatically assess for increasing fall risk. Activity levels are summarized and graphically displayed for easy interpretation. Falls are detected when they occur and alerts are sent immediately to healthcare providers, so time to rescue may be reduced. Automated health alerts are sent to healthcare staff, based on continuously running algorithms applied to the sensor data, days and weeks before typical signs or symptoms are detected by the person, family members, or healthcare providers. Discovering these new functional status ‘vital signs', developing automated methods for interpreting them, and alerting others when changes occur have the potential to transform chronic illness management and facilitate aging in place through the end of life. Key findings of research in progress at the University of Missouri are discussed in this viewpoint article, as well as obstacles to widespread adoption.
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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.