Automated IADL Sensing to Refine Measurement of Older Adult Daily Activity
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age75+
SponsorUniversity of Pittsburgh
About this trial
The instrumental activities of daily living (IADL) refer to complex daily activities required for adult independence, such as preparing a meal or taking medications. This study will assess the efficacy of sensing technologies (smartwatch, computer vision, eye tracking) for recognizing IADL activities in naturalistic settings and score performance relative to ratings from occupational therapists. If successful in assessing the efficiency of IADL, the sensing technologies will be a valuable addition to geriatric assessment.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Participant in University of Pittsburgh Pepper Center research registry
Age 75+
Female
Residing in community
Disqualifiers
Inability to provide informed consent
Meets criteria for possible dementia (Memory Impairment Screen <= 4)
Reports difficulty with activities of daily living (dressing, feeding oneself, using toilet, bathing)
Uses mobility assistance device for indoor ambulation
Trial population
Eligible participants from the Community Research Connection registry of the University of Pittsburgh Claude D. Pepper Older Americans Independence Center.
Trial design
Design model
Case-control
Time perspective
Cross-sectional
Treatments tested in this trial
Not listed
Trial groups
20 Participants
are grouped into 2 trial groupsGroup A: Older adults with normal cognition
Group B: Older adults with mild cognitive impairment
Trial outcomes
Primary outcomes
1
Efficiency of IADL Performance
Machine learning composite based on candidate sensing metrics, such as time to complete each element of kitchen task, pacing of activity, corrections, repetition of movement, adjustments of posture, and need to review directions.
Time frame
15-minute telephone screening, 90-minute in-person assessmentSecondary outcomes
1
Concordance with Occupational Therapist Rating
Agreement between machine-learning sensor categorization and occupational therapist assessment of standardized kitchen tasks.
Time frame
One 90-min in-person assessmentSponsors and contacts
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University of Pittsburgh
Lead sponsor
National Institute on Aging (NIA)
Collaborator
Source ClinicalTrials.gov