ArticleFrontiers in pharmacology2019
Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review.
Article in Frontiers in pharmacology, 2019. 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 2 registered trials, which are not on this map. Cited by 47 papers, 5 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.
LIVE@Home.Path: a Mixed Method, Stepped Wedge and Randomized Controlled Trial Innovating the Clinical Pathway for Home-dwelling Persons With Dementia and Their Families
Digital Phenotyping for Changes in Activity at the End of Life in People With Dementia: an Observational Trial Based on Sensing Technology
Who cites it
47 citing papers in PubMed, 5 syntheses or guidelines pooled it, 105 citations in OpenAlex.
- Enhancing Enrollment and Adherence in Long-Term Wearable Research on Dementia: Qualitative Systematic Review and Meta-Synthesis.JMIR aging · 2025Pooled it
- Activity and Behavioral Recognition Using Sensing Technology in Persons with Parkinson's Disease or Dementia: An Umbrella Review of the Literature.Sensors (Basel, Switzerland) · 2025Pooled it
- Benefits and barriers associated with the use of smart home health technologies in the care of older persons: a systematic review.BMC geriatrics · 2024Pooled it
- Digital Biomarkers for the Assessment of Non-Cognitive Symptoms in Patients with Dementia with Lewy Bodies: A Systematic Review.Journal of Alzheimer's disease : JAD · 2024Pooled it
- Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature.BMC health services research · 2022Pooled it
- A Mobile App-Based Individualized Nonpharmacological Intervention for Behavioral and Psychological Symptoms in Dementia: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Ethical issues associated with assistive technologies for persons living with dementia and their caregivers - An overview of reviews.Dementia (London, England) · 2026Review
- Exploring conditions for implementing daily monitoring of Behavioral and Psychological Symptoms of Dementia (BPSD) in dementia care: insights from a participatory design study.BMC geriatrics · 2026Article
- Artificial intelligence and machine learning for precision prevention of cognitive decline: integrating multimodal biomarkers, lifestyle interventions, and natural medicines from prediction to clinical practice.Frontiers in aging neuroscience · 2026Review
- Digital Measurement of Subjective Experiences in Alzheimer Disease and Related Dementias (AD/ADRD).JMIR aging · 2025Article
- Using Artificial Intelligence-Based Technologies for the Early Detection of Behavioral and Psychological Symptoms of Dementia: Scoping Review.JMIR aging · 2025Article
- Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study.JMIR aging · 2025Observational
- Article
- Implementation Outcomes for Agitation Detection Technologies in People with Dementia: A Systematic Review.Geriatrics (Basel, Switzerland) · 2025Review
- The story of pain in people with dementia: a rationale for digital measures.BMC medicine · 2025Article
- Experiences With an In-Bed Real-Time Motion Monitoring System on a Geriatric Ward: Mixed Methods Study.JMIR formative research · 2025Article
- Nurses' Perspectives and Experiences of Using a Bed-Exit Information System in an Acute Hospital Setting: Mixed Methods Study.JMIR formative research · 2025Article
- RadioMe: an automated home-based radio, music playlist, and diary reminder system: Report on recruitment, music compilation, and listening, and preliminary testing of heart rate activated music.Frontiers in psychology · 2025Article
- Implementation of a digital distress detection system in palliative care: qualitative data on perspectives of a multiprofessional palliative care team.BMC palliative care · 2024Article
- Using AI-Based Technologies to Help Nurses Detect Behavioral Disorders: Narrative Literature Review.JMIR nursing · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The prevalence of dementia is expected to rapidly increase in the next decades, warranting innovative solutions improving diagnostics, monitoring and resource utilization to facilitate smart housing and living in the nursing home. This systematic review presents a synthesis of research on sensing technology to assess behavioral and psychological symptoms and to monitor treatment response in people with dementia. Methods: The literature search included medical peer-reviewed English language publications indexed in Embase, Medline, Cochrane library and Web of Sciences, published up to the 5 Results: A total of 1,337 potential publications were identified in the search, of which 34 were included in this review after the systematic exclusion process. Studies were classified according to the type of technology used, as (1) wearable sensors, (2) non-wearable motion sensor technologies, and (3) assistive technologies/smart home technologies. Half of the studies investigated how temporarily dense data on motion can be utilized as a proxy for behavior, indicating high validity of using motion data to monitor behavior such as sleep disturbances, agitation and wandering. Further, up to half of the studies represented proof of concept, acceptability and/or feasibility testing. Overall, the technology was regarded as non-intrusive and well accepted. Conclusions: Targeted clinical application of specific technologies is poised to revolutionize precision care in dementia as these technologies may be used both by patients and caregivers, and at a systems level to provide safe and effective care. To highlight awareness of legal regulations, data risk assessment, and patient and public involvement, we propose a necessary framework for sustainable ethical innovation in healthcare technology. The success of this field will depend on interdisciplinary cooperation and the advance in sustainable ethic innovation. Systematic Review Registration: PROSPERO, identifier CRD42019134313.
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.