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Embedded Online Questionnaire Measures Are Sensitive to Identifying Mild Cognitive Impairment

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Background/Aims:

Early changes in cognitively demanding daily activities occur between normal cognition and the development of mild cognitive impairment (MCI). These real-world functional changes as early signals of cognitive change form a prime target for meaningful early detection of dementia. We examined whether passive aspects of responding to a remotely monitored weekly online questionnaire discriminated between older adults with and without MCI.

Methods:

Participants were 83 independent, community-dwelling older adults enrolled in a longitudinal study of in-home monitoring technologies, which included completion of a short weekly online questionnaire of health and life events.

Results:

In longitudinal analyses, time to complete the online questionnaire decreased over 1 year in both MCI and cognitively intact participants (P<0.01). MCI and intact participants did not differ in the time of day they submitted their questionnaires initially; however, over the course of 1 year MCI participants began to submit their questionnaires progressively later in the day and they needed greater assistance from staff as compared with intact participants (P<0.05). The online questionnaire performance measures were significantly correlated to conventional cognitive test scores (P<0.05) across the spectrum of normal cognition to MCI.

Conclusions:

Ambiently assessed, passive performance measures embedded within an online questionnaire are able to discriminate between normal cognition and MCI. Remote monitoring of cognitively demanding routine daily activities is a promising approach for ecologically valid real-world cognitive assessment.
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Keywords: aging; cognitive assessment; cognitive impairment; computer use; early detection; everyday functioning; everyday technology; real-world settings; remote monitoring

Document Type: Research Article

Affiliations: 1: Departments of Neurology, Oregon Center for Aging and Technology, Oregon Health & Science University, Portland, OR 2: Departments of Neurology 3: Departments of Neurology, Oregon Center for Aging and Technology, Oregon Health & Science University, Portland, OR, Biomedical Engineering

Publication date: April 1, 2016

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