P2‐508: CAREGIVER‐IDENTIFIED PHASES OF ALZHEIMER'S DISEASE CAREGIVING
Bibliographic record
Abstract
Informal (unpaid) family caregivers for individuals with Alzheimer's disease are at high risk for developing cognitive, affective, and physical health consequences. Available caregiver supports and services are inconsistently effective, which may be due to poorly timed delivery within the disease trajectory. While clinical phases of the disease are known, caregiver-identified phases across the disease trajectory are not. Caregiver phases can help us better understand the caregiver experience and can be used to provide timely supports to enable better quality of life for both the caregiver and care recipient. The objective of this study was to determine the caregiver-identified phases of caregiving throughout the Alzheimer's disease trajectory and the corresponding needs for support and information. Constructivist grounded theory (CGT) informed data collection, analysis, and interpretation. 40 spousal and adult children caregivers to persons with Alzheimer's disease (10 husbands, 10 wives, 10 daughters, 10 sons) were purposely recruited and interviewed using a semi-structured interview guide. Sampling was completed when theoretical saturation was achieved. Data analysis was conducted using a constant comparative analysis technique. Participants described the phases of caregiving as initial symptoms, informal diagnosis, assistance with instrumental activities of daily living, community mobility, and assistance with activities of daily living. Support needs corresponded to caregiving phases and included early dementia education, informal and formal social support, and a healthcare professional to help navigate the system of available supports. Caregivers identified 5 distinct phases across the Alzheimer's disease trajectory. They also discussed their core needs for support and how these needs change corresponding to the caregiving phases. Findings can also be used to inform development, evaluation, and implementation of programs and services to meet the changing needs of dementia caregivers.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".