Aging Clinical Trial
Official title:
Technology to Support Decision Making About Aging at Home (COORDINATEs)
Most older people want to stay at home as long as possible. Effective self-management for people losing autonomy depends on reliable monitoring of their mobility, health and safety and active implication in decision-making. New technologies have the potential to provide information about changing patterns that reflect changing care needs. This information could help older adults, caregivers and health professionals to participate in decision-making about housing options when a change in living environment needs to be considered.
This is a multi-phase study to be conducted in 3 countries: Canada (Quebec and Alberta),
Sweden and Netherlands. The primary objective is to provide e-decision support technology
that will facilitate self-management in the context of aging in place and foster informed
value congruent decisions about options to age safely at home.
The aim of the project is to develop and validate a e-technology based on already existing
components (e.g. GPS devices, diverse e-platforms and decision support interventions) to 1)
help older adults with mild cognitive impairment/memory problems to stay safely at home as
long as possible and 2) to provide older adults with decision support tools to help them make
informed value congruent decisions (e.g. foster a shared decision-making process) regarding
aging at home in a safe manner.
The secondary objectives are:
1. Assess autonomy and mobility of older adults with mild cognitive impairment/memory
problems living at home.
2. Inform shared decision-making processes about options to safely age in place for all
those involved.
The investigators will apply an integrated Knowledge Translation (iKT), comparative,
mixed-methods approach to explore, older adults living at home with mild cognitive
impairment/memory problems, their use of space in their homes and neighbourhoods.
The project is divide into 4 work package (WP). In more details, during WP1, the
investigators will collect spatial data (e.g. using GPS) and self-reported data (e.g. travel
diaries, walking interviews, in-depth interviews, surveys). At WP2, the investigators will
use iterative end-user feedback and end-user consultation discussion group to tailor a
decision support technology to knowledge-users. At WP3, investigators will assess user
opinion regarding factors that could influence their use of the newly adapted e-decision
support technology. Finally, at WP4 the investigators will triangulate data and take into
account differences between jurisdictions.
This collaboration and our cross-country comparisons will contribute to scaling up e-decision
support solutions in the future for the older adults with mild cognitive impairment/memory
problems who want to age safely at home.
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