ArticleFrontiers in aging neuroscience2015
Pervasive Computing Technologies to Continuously Assess Alzheimer's Disease Progression and Intervention Efficacy.
Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02566239 (Ambient Independence Measures for Guiding Care Transitions), which is not on this map. Cited by 65 papers, 3 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.
Ambient Independence Measures for Guiding Care Transitions
Who cites it
65 citing papers in PubMed, 3 syntheses or guidelines pooled it, 106 citations in OpenAlex.
- Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer's Disease: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Activities of Daily Living and Associated Costs in the Most Widespread Neurodegenerative Diseases: A Systematic Review.Clinical interventions in aging · 2020Pooled it
- Characteristics of Sleep Structure Assessed by Objective Measurements in Patients With Amnestic Mild Cognitive Impairment: A Meta-Analysis.Frontiers in neurology · 2020Pooled it
- Supervised, Self-Administered Tablet-Based Cognitive Assessment in Neurodegenerative Disorders and Stroke.Dementia and geriatric cognitive disorders · 2023Trial
- A Smart Shoe Insole to Monitor Frail Older Adults' Walking Speed: Results of Two Evaluation Phases Completed in a Living Lab and Through a 12-Week Pilot Study.JMIR mHealth and uHealth · 2021Trial
- The Ways in Which Stakeholders Make Decisions About AI and Novel Technologies for the Health Care of Older Adults: Qualitative Interview Study.JMIR aging · 2026Article
- AI-enabled digital phenotyping for Alzheimer's disease: a review of multimodal sensor integration and symptom trajectories.Alzheimer's research & therapy · 2026Review
- Remote Digital Technologies for the Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of Neurodegenerative Diseases.Journal of diabetes science and technology · 2024Review
- Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Review
- Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research.Journal of the American Heart Association · 2024Review
- In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment.2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) · 2023Article
- Employing Deep-Learning Approach for the Early Detection of Mild Cognitive Impairment Transitions through the Analysis of Digital Biomarkers.Sensors (Basel, Switzerland) · 2023Article
- Utilising Emotion Monitoring for Developing Music Interventions for People with Dementia: A State-of-the-Art Review.Sensors (Basel, Switzerland) · 2023Review
- Remote Spectral Light Sensing in the Home Environment: Further Development of the TWLITE Study Concept.Sensors (Basel, Switzerland) · 2023Observational
- Health Monitoring Using Smart Home Technologies: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report.JMIR formative research · 2023Article
- Community-dwelling older adults' acceptance of smartwatches for health and location tracking.International journal of older people nursing · 2023Article
- Correlating continuously captured home-based digital biomarkers of daily function with postmortem neurodegenerative neuropathology.PloS one · 2023Article
- Sensor-Based Assessment of Social Isolation and Loneliness in Older Adults: A Survey.Sensors (Basel, Switzerland) · 2022Review
- RWD-Cockpit: Application for Quality Assessment of Real-world Data.JMIR formative research · 2022Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Traditionally, assessment of functional and cognitive status of individuals with dementia occurs in brief clinic visits during which time clinicians extract a snapshot of recent changes in individuals' health. Conventionally, this is done using various clinical assessment tools applied at the point of care and relies on patients' and caregivers' ability to accurately recall daily activity and trends in personal health. These practices suffer from the infrequency and generally short durations of visits. Since 2004, researchers at the Oregon Center for Aging and Technology (ORCATECH) at the Oregon Health and Science University have been working on developing technologies to transform this model. ORCATECH researchers have developed a system of continuous in-home monitoring using pervasive computing technologies that make it possible to more accurately track activities and behaviors and measure relevant intra-individual changes. We have installed a system of strategically placed sensors in over 480 homes and have been collecting data for up to 8 years. Using this continuous in-home monitoring system, ORCATECH researchers have collected data on multiple behaviors such as gait and mobility, sleep and activity patterns, medication adherence, and computer use. Patterns of intra-individual variation detected in each of these areas are used to predict outcomes such as low mood, loneliness, and cognitive function. These methods have the potential to improve the quality of patient health data and in turn patient care especially related to cognitive decline. Furthermore, the continuous real-world nature of the data may improve the efficiency and ecological validity of clinical intervention studies.
Indexed as
Identifiers
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.