Exploring interest and goals for videoconferencing delivered cognitive rehabilitation with rural individuals with mild cognitive impairment or dementia
Bibliographic record
Abstract
BACKGROUND: Goal oriented cognitive rehabilitation is a promising intervention for individuals diagnosed with mild cognitive impairment (MCI) or dementia due to Alzheimer Disease (AD). Videoconferencing delivered cognitive rehabilitation is a potential avenue for increasing accessibility for rural patients and their families. OBJECTIVE: First, we were concerned with the accessibility of the treatment for individuals in rural and remote areas. Second, client-centered goal setting was explored by asking this sample about their goals for cognitive rehabilitation. METHOD: We mailed questions to all active patients with diagnoses of MCI or dementia due to AD of a rural memory clinic and compare features of the responders versus the non-responders. We asked about interest in videoconferencing delivered treatment and about goals for cognitive rehabilitation, which were thematically analyzed. RESULTS: The responders (N = 25) were similar to non-responders in severity, depression, and caregiver burden. Of the responders, 80% were interested in videoconferencing developed treatment. A thematic analysis coded 95% of responses as amenable to cognitive rehabilitation. Participants' goals were focused on memory, household activities, other cognitive domains, recreation, and higher order tasks. CONCLUSIONS: This work informs the development of both in-person and videoconferencing delivered cognitive rehabilitation for individuals diagnosed with MCI or dementia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".