ArticleJournal of Alzheimer's disease : JAD2017
Passive Assessment of Routine Driving with Unobtrusive Sensors: A New Approach for Identifying and Monitoring Functional Level in Normal Aging and Mild Cognitive Impairment.
Article in Journal of Alzheimer's disease : JAD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02566239 (Ambient Independence Measures for Guiding Care Transitions), which is not on this map. Cited by 30 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
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Digital Endpoints for Assessing Instrumental Activities of Daily Living in Mild Cognitive Impairment: Systematic Review.Journal of medical Internet research · 2023Pooled it
- [Current Evidence for Assessing Fitness to Drive of People with Cognitive Impairment: A Systematic Review].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023Pooled it
- Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis.Research square · 2026Article
- Early identification of cognitive impairment in older adults from Advanced Activities of Daily Living (AADL): A scoping review.Public health · 2025Article
- Digital Therapeutics for Cognitive Impairment: Exploring Innovations, Challenges, and Future Prospects.Journal of medical Internet research · 2025Article
- Simulated driving behavior over the adult age span.Frontiers in aging neuroscience · 2025Article
- Impact of cognitive impairment on driving behaviour and route choices of older drivers: a real-world driving study.Scientific reports · 2024Article
- 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
- Study protocol for "In-vehicle sensors to detect changes in cognition of older drivers".BMC geriatrics · 2023Article
- 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
- Using Continuous Passive Assessment Technology to Describe Health and Behavior Patterns Preceding and Following a Cancer Diagnosis in Older Adults: Proof-of-Concept Case Series Study.JMIR formative research · 2023Article
- Remote Spectral Light Sensing in the Home Environment: Further Development of the TWLITE Study Concept.Sensors (Basel, Switzerland) · 2023Observational
- Unobtrusive Sensing Technology Detects Ecologically Valid Spatiotemporal Patterns of Daily Routines Distinctive to Persons With Mild Cognitive Impairment.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach.JMIR aging · 2022Article
- Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review.Yonsei medical journal · 2022Review
- Use of in-home activity monitoring technologies in older adult veterans with mild cognitive impairment: The impact of attitudes and cognition.Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society · 2021Article
- Use of technology and social media in dementia care: Current and future directions.World journal of psychiatry · 2021Review
- Application of In-Home Monitoring Data to Transition Decisions in Continuing Care Retirement Communities: Usability Study.Journal of medical Internet research · 2021Article
- In-Home Mobility Frequency and Stability in Older Adults Living Alone With or Without MCI: Introduction of New Metrics.Frontiers in digital health · 2021Article
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 1 institution in 1 country.
Funding
Abstract
backgroundDriving is a key functional activity for many older adults, and changes in routine driving may be associated with emerging cognitive decline due to early neurodegenerative disease. Current methods for assessing driving such as self-report are inadequate for identifying and monitoring subtle changes in driving patterns that may be the earliest signals of functional change in developing mild cognitive impairment (MCI).
objectiveThis proof of concept study aimed to establish the feasibility of continuous driving monitoring in a sample of cognitively normal and MCI older adults for an average of 206 days using an unobtrusive driving sensor and demonstrate that derived sensor-based driving metrics could effectively discriminate between MCI and cognitively intact groups.
methodsNovel objective driving measures derived from 6 months of routine driving monitoring were examined in older adults with intact cognition (n = 21) and MCI (n = 7) who were enrolled in the Oregon Center for Aging and Technology (ORCATECH) longitudinal assessment program.
resultsUnobtrusive continuous monitoring of older adults' routine driving using a driving sensor was feasible and well accepted. MCI participants drove fewer miles and spent less time on the highway per day than cognitively intact participants. MCI drivers showed less day-to-day fluctuations in their driving habits than cognitively intact drivers.
conclusionSensor-based driving measures are objective, unobtrusive, and can be assessed every time a person drives his or her vehicle to identify clinically meaningful changes in daily driving. This novel methodology has the potential to be useful for the early detection and monitoring of changes in daily functioning within individuals.
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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.