Journal Article DZNE-2020-00383

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Automated sensor-based detection of challenging behaviors in advanced stages of dementia in nursing homes.

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2020
Elsevier Amsterdam [u.a.]

Alzheimer's and dementia 16(4), 672-680 () [10.1016/j.jalz.2019.08.193]

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Abstract: Sensor-based assessment of challenging behaviors in dementia may be useful to support caregivers. Here, we investigated accelerometry as tool for identification and prediction of challenging behaviors.We set up a complex data recording study in two nursing homes with 17 persons in advanced stages of dementia. Study included four-week observation of behaviors. In parallel, subjects wore sensors 24 h/7 d. Participants underwent neuropsychological assessment including MiniMental State Examination and Cohen-Mansfield Agitation Inventory.We calculated the accelerometric motion score (AMS) from accelerometers. The AMS was associated with several types of agitated behaviors and could predict subject's Cohen-Mansfield Agitation Inventory values. Beyond the mechanistic association between AMS and behavior on the group level, the AMS provided an added value for prediction of behaviors on an individual level.We confirm that accelerometry can provide relevant information about challenging behaviors. We extended previous studies by differentiating various types of agitated behaviors and applying long-term measurements in a real-world setting.

Keyword(s): Accelerometry: statistics & numerical data (MeSH) ; Aged (MeSH) ; Aged, 80 and over (MeSH) ; Aggression: psychology (MeSH) ; Apathy (MeSH) ; Dementia: complications (MeSH) ; Dementia: therapy (MeSH) ; Female (MeSH) ; Humans (MeSH) ; Male (MeSH) ; Mental Status and Dementia Tests: statistics & numerical data (MeSH) ; Nursing Homes (MeSH) ; Psychomotor Agitation: psychology (MeSH)

Classification:

Contributing Institute(s):
  1. Clinical Dementia Research Rostock /Greifswald (AG Teipel)
  2. Care Interventions (AG Halek)
Research Program(s):
  1. 344 - Clinical and Health Care Research (POF3-344) (POF3-344)

Appears in the scientific report 2020
Database coverage:
Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Essential Science Indicators ; IF >= 15 ; JCR ; SCOPUS ; Web of Science Core Collection
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 Record created 2020-07-14, last modified 2024-03-21


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