Evidence map›Paper›PMID 34039534›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2022

Monitoring Behaviors of Patients With Late-Stage Dementia Using Passive Environmental Sensing Approaches: A Case Series.

Wan-Tai M Au-Yeung, Lyndsey Miller, Zachary Beattie, Rose May, Hailey V Cray, Zachary Kabelac, Dina Katabi, Jeffrey Kaye, Ipsit V Vahia

Registry-linked trialOpen access · greenAbstract readCase Reports
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06032091 (Digital Phenotyping for Changes in Activity at the End of Life in People With Dementia), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT06032091 unknown statusnot on this mapstarted 2023, after this paper: background citation

Digital Phenotyping for Changes in Activity at the End of Life in People With Dementia: an Observational Trial Based on Sensing Technology

TypeobservationalSponsorUniversity of BergenRan2023 to 2026Enrolled50ConditionsDementiaArmsNo intervention
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Deep Learning and Geriatric Mental Health.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Digital Dementia Care for the Future: Opportunities and Challenges.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022
    Article
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Wan-Tai M Au-YeungDepartment of Neurology, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR; Oregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; NIA-Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR. Electronic address: auyeungm@ohsu.edu.
Lyndsey MillerOregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; School of Nursing, Oregon Health & Science University (LM), Portland, OR.
Zachary BeattieDepartment of Neurology, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR; Oregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; NIA-Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR.
Rose MayMcLean Hospital (RM, HVC, IVV), Belmont, MA.
Hailey V CrayMcLean Hospital (RM, HVC, IVV), Belmont, MA.
Zachary KabelacComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (ZK, DK), Cambridge, MA.
Dina KatabiComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (ZK, DK), Cambridge, MA.
Jeffrey KayeDepartment of Neurology, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR; Oregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; NIA-Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR.
Ipsit V VahiaMcLean Hospital (RM, HVC, IVV), Belmont, MA; Harvard Medical School (IVV), Boston, MA.
Oregon Health & Science University · USMcLean Hospital · USMassachusetts Institute of Technology · US

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Zachary Beattie · 2020 to 2026
$28.6M
Outreach, Recruitment and Education CoreP30AG008017 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 1990 to 2019
$27.7M
Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Neuroscience of Aging, Neurodegeneration and Alzheimer’s DiseaseT32AG055378 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI JACOB RABER, HENRYK F URBANSKI · 2018 to 2026
$4.3M
NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG024978NIA NIH HHS P30 AG066518NIA NIH HHS T32 AG055378
6 · The paper itself

Abstract

objectiveTo show the feasibility of using different unobtrusive activity-sensing technologies to provide objective behavioral markers of persons with dementia (PwD).

designMonitored the behaviors of two PwD living in memory care unit using the Oregon Center for Aging & Technology (ORCATECH) platform, and the behaviors of two PwD living in assisted living facility using the Emerald device.

settingA memory care unit in Portland, Oregon and an assisted living facility in Framingham, Massachusetts.

participantsA 63-year-old male with Alzheimer's disease (AD), and an 80-year-old female with frontotemporal dementia, both lived in a memory care unit in Portland, Oregon. An 89-year-old woman with a diagnosis of AD, and an 85-year-old woman with a diagnosis of major neurocognitive disorder, Alzheimer's type with behavioral symptoms, both resided at an assisted living facility in Framingham, Massachusetts. MEASUREMENTS: These include: sleep quality measured by the bed pressure mat; number of transitions between spaces and dwell times in different spaces measured by the motion sensors; activity levels measured by the wearable actigraphy device; and couch usage and limb movements measured by the Emerald device.

resultsNumber of transitions between spaces can identify the patient's episodes of agitation; activity levels correlate well with the patient's excessive level of agitation and lack of movement when the patient received potentially inappropriate medication and neared the end of life; couch usage can detect the patient's increased level of apathy; and periodic limb movements can help detect risperidone-induced side effects. This is the first demonstration that the ORCATECH platform and the Emerald device can measure such activities.

conclusionThe use of technologies for monitoring behaviors of PwD can provide more objective and intensive measurements of PwD behaviors.

Indexed as

Alzheimer DiseaseActigraphyAged, 80 and overBehavioral SymptomsFemaleHumansMaleagitationAlzheimer's diseaseapathybehavioral and psychological symptomsend-of-lifelate-stage dementiapotentially inappropriate medicationtechnologyUnobtrusive activity-sensing technology

Identifiers

PMID34039534
PMCPMC8531172
OpenAlexW3155944247

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.