AI Article Synopsis

  • The study investigates the feasibility of using smart home technology to assess instrumental activities of daily living (IADL) in individuals with mild cognitive impairment (MCI), aiming to provide a better diagnostic tool for dementia risks.
  • Participants with MCI took longer and scored lower on tasks than healthy controls, highlighting significant differences in specific activities such as making phone calls and retrieving objects, indicating greater difficulties among those with MCI.
  • Results suggest that smart homes can offer an objective and detailed way to evaluate IADL performance, emphasizing the need for future research on automated detection of IADL deficits.

Article Abstract

Background: The assessment of activities of daily living (ADL) is essential for dementia diagnostics. Even in mild cognitive impairment (MCI), subtle deficits in instrumental ADL (IADL) may occur and signal a higher risk of conversion to dementia. Thus, sensitive and reliable ADL assessment tools are important. Smart homes equipped with sensor technology and video cameras may provide a proxy-free assessment tool for the detection of IADL deficits.

Objective: The aim of this paper is to investigate the potential of a smart home environment for the assessment of IADL in MCI.

Method: The smart home consisted of a two-room flat equipped with activity sensors and video cameras. Participants with either MCI or healthy controls (HC) had to solve a standardized set of six tasks, e.g., meal preparation, telephone use, and finding objects in the flat.

Results: MCI participants needed more time (1384 versus 938 seconds, p <  0.001) and scored less total points (48 versus 57 points, p <  0.001) while solving the tasks than HC. Analyzing the subtasks, intergroup differences were observed for making a phone call, operating the television, and retrieving objects. MCI participants showed more searching and task-irrelevant behavior than HC. Task performance was correlated with cognitive status and IADL questionnaires but not with participants' age.

Conclusion: This pilot study showed that smart home technologies offer the chance for an objective and ecologically valid assessment of IADL. It can be analyzed not only whether a task is successfully completed but also how it is completed. Future studies should concentrate on the development of automated detection of IADL deficits.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927882PMC
http://dx.doi.org/10.3233/JAD-151054DOI Listing

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