Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
85 participants
INTERVENTIONAL
2015-08-31
2017-12-31
Brief Summary
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Detailed Description
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In the current study, 120 community-dwelling, non-demented participants aged 65 and over, with a diagnosis of Type 2 diabetes will be randomly assigned either to an 8-week, home-based individually-tailored CCT program with adaptive difficulty level, and regular performance feedback, or to an 8-week, home-based active control (AC) condition, involving training on a generic CCT program with fixed difficulty level and without performance feedback. Both intervention groups also include a range of theory-informed behavior change techniques (BCTs), including self-efficacy management, self-monitoring and goal-setting in order to enhance treatment fidelity, and to maximize treatment compliance and adherence. In both groups, participants train approx. 30 min. per day, 3 times per-week for 8-weeks. Participants undergo a comprehensive evaluation of all outcomes at baseline, immediately after the intervention, and at a 6-month follow-up, with 1-week booster training completed 3 months from completion of the intervention.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
TRIPLE
Study Groups
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Individualized and adaptive computerised cognitive training
Training in this group is individualized using a computer algorithm which assigns tasks (from a pool of 33 training tasks) on the basis of cognitive strengths and weaknesses as determined by the training program. In addition, task difficulty is adaptive and responsive to performance level. Participants are able to see feedback on their progress each training session in the form of a session-score. A range of behavior change techniques are used throughout the training period (delivered via scheduled monitoring phone calls, and email contact with participants) to support the compliance and adherence of participants. These include a range of motivation and confidence building strategies, based on a theoretical framework. Participants are required to train for approx. 30 min., 3 times per week, for 8 weeks.
Individualized and adaptive computerized cognitive training
Active control
Training in this group is generic, and tasks (from the same pool of 33 training tasks) are randomly selected by the training program. In addition, task difficulty is fixed, such that irrespective of performance, each time a participant is presented with a given task, the level of difficulty returns to the basic level. Participants in this arm do not receive feedback on their progress at the end of each training session. The same protocol of behavior change techniques is used in this intervention arm.
Participants are also required to train for approx. 30 min., 3 times per week, for 8 weeks.
Active control
Interventions
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Individualized and adaptive computerized cognitive training
Active control
Eligibility Criteria
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Inclusion Criteria
* diagnosis of type 2 diabetes
* Health cover provided by Maccabi Health Services (MHS)
* Access to a home computer and internet connection
* Availability of a close relative/informant with regular and frequent contact with the participant (at least 10 hours per week), willing to respond to questionnaires at all time points.
* Fluency in Hebrew or English
* Living in the Tel-Aviv metropolitan area and surrounds
Exclusion Criteria
* Prescription of dementia-related medication.
* Participation in a previous cognitive intervention study in the preceding year.
* Significant hearing/vision impairment likely to interfere with assessment and/or training
* Significant psychiatric/neurological or medical issues that may affect cognitive function.
65 Years
ALL
No
Sponsors
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Maccabi Healthcare Services, Israel
OTHER
Sheba Medical Center
OTHER_GOV
Responsible Party
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Dr. Alex Bahar-Fuchs
Dr Alex Bahar-Fuchs
Locations
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Joseph Sagol Neuroscience Center, Sheba Medical Center
Ramat Gan, Australian National University, Israel
Countries
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References
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Bahar-Fuchs A, Barendse MEA, Bloom R, Ravona-Springer R, Heymann A, Dabush H, Bar L, Slater-Barkan S, Rassovsky Y, Schnaider Beeri M. Computerized Cognitive Training for Older Adults at Higher Dementia Risk due to Diabetes: Findings From a Randomized Controlled Trial. J Gerontol A Biol Sci Med Sci. 2020 Mar 9;75(4):747-754. doi: 10.1093/gerona/glz073.
Other Identifiers
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0573-13-SMC
Identifier Type: -
Identifier Source: org_study_id
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