Recommended and Reported Use of Communication Strategies in Alzheimer Caregiving
Bibliographic record
Abstract
Individuals with Alzheimer disease experience cognitive and behavioral impairments that affect their ability to communicate. In an effort to compensate for these declines, a number of communication strategies have been recommended in the literature for Alzheimer disease caregivers. These include recommendations for caregivers to modify their language behavior and/or the context of communication. The purpose of this study was to (1) review the Alzheimer disease caregiving literature and identify communication strategies commonly recommended for family caregivers and (2) determine how often caregivers report using these strategies and how effective they feel each is in facilitating communication. A review of the literature identified 10 recurring communication strategies. A questionnaire was constructed that asked caregivers to report on the use and efficacy of these 10 strategies. Twenty family (spouse) caregivers of persons diagnosed with Alzheimer disease completed the questionnaire. The results show that caregivers perceived using the 10 strategies, although the strategies appearing most frequently in the literature were not necessarily the ones used most often by caregivers. A positive correlation was observed between caregivers' perceived use of strategies and their effectiveness. Use and efficacy of a strategy did not significantly vary as a function of dementia severity or the gender of the caregiver. The findings provide evidence that caregivers are aware of their communication behavior and modify it in ways that they think improve communication with their spouse.
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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 | 0.007 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".