This study will examine whether among older adults an adaptive and personalized reminder system can better support adherence to home-based cognitive training over typical reminder systems.
Many cognitive training interventions are associated with poor adherence, and poor adherence is associated with fewer benefits. Further, poor adherence in cognitive intervention studies can interfere with answering fundamental questions regarding intervention efficacy. This study will compare the effects of non-adaptive and smart adherence support systems. Participants will be asked to engage in frequent home-based cognitive training on a computer tablet. In the smart adherence support condition, participants will receive adaptive and tailored reminders based on dynamic algorithms that deploy reminders in a way that considers participant preferences, days and times of previous successful engagement, the success of previous reminder attempts, and answers to brief questions contained within reminder prompts. Parameter weights for these variables will be adjusted dynamically over a 6-month assessment period to ensure that reminders are deployed when they are most likely to be acted upon. This study will investigate adherence to training sessions, multiple times each week for 6 months, representing a large challenge to adherence. Participants will be randomly assigned to one condition or another, and adherence at home will be monitored. This will be an Individually Randomized Group-Treatment Trial (IRGT).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
DOUBLE
Enrollment
190
A personalized and adaptive text message reminder system.
A typical text message reminder system.
Department of Psychology, Florida State University
Tallahassee, Florida, United States
Adherence (session number)
Number of sessions over 6 months
Time frame: 6 months
Adherence (session length)
Number of sessions reaching at least 80% of the assigned session duration over 6 months
Time frame: 6 months
Adherence (holidays)
Number of extended gaps in between sessions over 6 months
Time frame: 6 months
Objective Cognition (predictor of adherence)
A composite measure of objective cognitive ability
Time frame: Assessed at baseline, predicting adherence variables over 6 months
Subjective Cognition (predictor of adherence)
A composite measure of subjective cognitive deficit
Time frame: Assessed at baseline, predicting adherence variables over 6 months
Self-Efficacy (predictor of adherence)
A composite measure of self-efficacy (beliefs held about ability to complete tasks)
Time frame: Assessed at baseline, predicting adherence variables over 6 months
Technology Proficiency (predictor of adherence)
A composite measure of proficiency with technology
Time frame: Assessed at baseline, predicting adherence variables over 6 months
Perceived Training Efficacy (predictor of adherence)
A composite measure of belief in the the efficacy of cognitive training
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Time frame: Assessed at baseline, predicting adherence variables over 6 months
Personality (predictor of adherence)
Measure of stable traits
Time frame: Assessed at baseline, predicting adherence variables over 6 months
Dementia Worry (predictor of adherence)
A composite measure of anxiety over cognitive decline
Time frame: Assessed at baseline, predicting adherence variables over 6 months
Busyness Scale (predictor of adherence)
Self-reported environmental demands of day-to-day life
Time frame: Assessed at baseline, predicting adherence variables over 6 months