Remote Learning for Adults with Mild Cognitive Impairment in the New Landscape of COVID-19 Restrictions
Why this work is in the frame
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Bibliographic record
Abstract
Introduction: Mild Cognitive Impairment (MCI) is a transitional stage between the expected cognitive decline of normal aging and the more serious decline of dementia. Research interest focuses on the protection of this transition, through a combination of therapeutic interventions. Μaterials and Methods: 45 individuals with MCI who were followed up by the interdisciplinary team of our Memory School attended an online remote educational program that consisted of a series of cognitive and occupational therapy interventions designed to maintain their cognitive, executive, motor and emotional skills during the COVID-19 period. At baseline and at twelve-month follow-up all patients underwent several  neuropsychological tests that included the Montreal Cognitive Assessment (MoCA), the Mini Mental State Examination (MMSE), the Functional Cognitive Assessment Scale (FUCAS), the Geriatric Depression Scale (GDS) and the Functional Rating Scale of Symptoms of Dementia (FRRSD). Also, the Barthel Index scale and the Timed Up and Go (TUG) test were utilized to assess functionality and mobility, respectively.  Results: Within twelve months participants’ performance did not change significantly (MoCA; p=0.908, MMSE; p=0.625, FUCAS; p=0.782; GDS; p=0.218, FRSSD; p=0.18, Barthel Index; p=0.317, TUG; p=0.68). Results confirmed the hypothesis that cognitive, executive, motor and behavioral skills can be maintained through an online educational protocol during the COVID-19 lockdown period. Conclusions: It is proposed that similar educational protocols should be included in the design of strategic directions in the field of healthcare in MCI and dementia, especially in health crisis situations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it