A Narrative Inquiry Into the Lived Experiences of the Oldest-Old Caregivers and How These Are Shaped by Age and Aging
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Oldest-old (80+) spousal caregivers of people with dementia are a fast-growing, highly vulnerable, and poorly understood population. As oldest-old individuals, these caregivers have a high likelihood of experiencing aging-related changes (e.g., frailty and multimorbidity) that result in unique caregiving experiences and support needs. Specialized interventions, sensitive to caregivers' age- and aging-related experiences and needs, may be required to provide adequate support to this group. To date, this group has received limited attention in the literature. Thus, the purpose of this study was to elucidate how age and aging shape the experiences of oldest-old spousal caregivers of people with dementia. RESEARCH DESIGN AND METHODS: We used a narrative gerontology approach, with 2-3 semistructured interviews with 11 caregivers ages 80-89 (25 interviews in total). We analyzed narrative data thematically. RESULTS: We identified 4 main themes representing caregivers' perceptions of age or aging: aging as decline, aging as life experience, doings in older age, and older age as perceived by others. Our results illustrate a breadth of age- and aging-related caregiving experiences stemming from each perception. DISCUSSION AND IMPLICATIONS: This study provides insight into the particular experiences of oldest-old spousal caregivers of people with dementia and provides a foundation for critical future research that will continue to explore the experiences of this unique and fast-growing caregiving group. A more nuanced understanding of this caregiving subgroup is needed to develop age-sensitive health and social care services to meet their needs and, ultimately, improve their well-being and that of their spouses.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".