ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2017
Multidimensional assessment of challenging behaviors in advanced stages of dementia in nursing homes-The insideDEM framework.
Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Trial
- Implementation Outcomes for Agitation Detection Technologies in People with Dementia: A Systematic Review.Geriatrics (Basel, Switzerland) · 2025Review
- Comparison of behaviors characteristic of autism spectrum disorder behaviors and behavioral and psychiatric symptoms of dementia.Aging & mental health · 2022Article
- Dementia and COVID-19: A Case Report and Literature Review on Pain Management.Pharmaceuticals (Basel, Switzerland) · 2022Article
- A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.Journal of healthcare informatics research · 2021Article
- A Tablet App- and Sensor-Based Assistive Technology Intervention for Informal Caregivers to Manage the Challenging Behavior of People With Dementia (the insideDEM Study): Protocol for a Feasibility Study.JMIR research protocols · 2019Article
- Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2018Article
- Mapping Movement: Applying Motion Measurement Technologies to the Psychiatric Care of Older Adults.Current psychiatry reports · 2018Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAssessment of challenging behaviors in dementia is important for intervention selection. Here, we describe the technical and experimental setup and the feasibility of long-term multidimensional behavior assessment of people with dementia living in nursing homes.
methodsWe conducted 4 weeks of multimodal sensor assessment together with real-time observation of 17 residents with moderate to very severe dementia in two nursing care units. Nursing staff received extensive training on device handling and measurement procedures. Behavior of a subsample of eight participants was further recorded by videotaping during 4 weeks during day hours. Sensors were mounted on the participants' wrist and ankle and measured motion, rotation, as well as surrounding loudness level, light level, and air pressure.
resultsParticipants were in moderate to severe stages of dementia. Almost 100% of participants exhibited relevant levels of challenging behaviors. Automated quality control detected 155 potential issues. But only 11% of the recordings have been influenced by noncompliance of the participants. Qualitative debriefing of staff members suggested that implementation of the technology and observation platform in the routine procedures of the nursing home units was feasible and identified a range of user- and hardware-related implementation and handling challenges. DISCUSSION: Our results indicate that high-quality behavior data from real-world environments can be made available for the development of intelligent assistive systems and that the problem of noncompliance seems to be manageable. Currently, we train machine-learning algorithms to detect episodes of challenging behaviors in the recorded sensor data.
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