SynthesisNeuropsychology review2023
Behaviour Change Techniques in Computerized Cognitive Training for Cognitively Healthy Older Adults: A Systematic Review.
Synthesis in Neuropsychology review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Pooled it
- Community Readiness Model Applied in Older Adults for the Promotion of Digital Cognitive Training: Mixed Methods Feasibility Study.JMIR aging · 2026Trial
- An LLM-supported just-in-time adaptive intervention delivered by a socially assistive robot for cognitive training in mild cognitive impairment: study protocol for an assessor-blinded randomized controlled trial.Frontiers in digital health · 2026Article
- Effective engagement in computerized cognitive training for older adults.Ageing research reviews · 2025Review
- Effects and mechanisms of computerized cognitive training in Huntington's disease: protocol for a pilot study.Neurodegenerative disease management · 2024Article
- Effect of Internet Use on Cognitive Function of Middle-Aged and Elderly Adults in China: Evidence from China Family Panel Studies.Journal of Alzheimer's disease reports · 2024Article
- Development of a Cognitive Training Support Programme for prevention of dementia and cognitive decline in at-risk older adults.Frontiers in dementia · 2024Article
- Digital Intervention for the Management of Alzheimer's Disease.Current Alzheimer research · 2022Review
- Care partners experience of an oral health intervention for individuals with mild cognitive impairment and mild dementia using behavior change technique: A qualitative study.Geriatric nursing (New York, N.Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to describe behaviour change techniques (BCT) used in trials evaluating computerised cognitive training (CCT) in cognitively healthy older adults, and explore whether BCTs are associated with improved adherence and efficacy. The 90 papers included in a recent meta-analysis were reviewed for information about adherence and use of BCTs in accordance with the Behaviour Change Taxonomy. Studies using a specific BCT were compared with studies not using that BCT on efficacy (difference in Hedges' g [Δg]) using three level meta-regression models and on median adherence using the Wilcoxon test. The median number of BCTs per study was 3 (interquartile range [IQR] = 2-5). 'Feedback on behaviour' (if provided by a person; Δg = -0.19, 95% confidence interval [CI] = -0.31;-0.07) and 'non-specific reward' (Δg = -0.19, CI = -0.34;-0.05) were associated with lower efficacy. Certain BCTs that involve personal contact may be beneficial, although none were statistically significantly associated with greater efficacy. The median percentage of adherence was 90% (IQR = 81-95). Adherence was higher in studies using the BCT 'self-monitoring of behaviour' and lower in studies using the BCT 'graded tasks' than studies not using these BCTs (p < 0.001). These findings provide first evidence that BCTs can influence both adherence to and efficacy of CCT programs in cognitively healthy older adults.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.