Caregivers of older adults with dementia and multiple chronic conditions: Exploring their experiences with significant changes
Bibliographic record
Abstract
Family caregiving is considered a social transition as changes in the health of the care recipient create a process of transition for the caregiver when they are more vulnerable to threats to their own health. Family and friend caregivers take on many responsibilities and experience high levels of burden when caring for community-dwelling older adults living with dementia and multiple chronic conditions. However, little is known about the changes they experience in their caring roles or how they cope with these changes. This qualitative descriptive study was part of a larger mixed methods randomized controlled trial evaluating a web-based caregiver support toolkit. Multiple semi-structured phone interviews were conducted with caregivers of older adults with dementia and multiple chronic conditions. Content analysis was used to generate thematic descriptions. Six themes were generated and grouped into two categories. Significant changes experienced by caregivers are described by the following themes: 'everything falls on you - all of the responsibilities,' 'too many feelings' and 'no time for me.' The themes describing how caregivers coped with these changes include: seeking support, self-caring, and adapting their caregiving approach. Study results indicate that caregivers of older adults with dementia and multiple chronic conditions experienced many changes in their caregiving journey resulting in increasing complexity as they tended to the care recipients' declining health and well-being. These caregivers used several creative strategies to cope with these changes. Health care providers should consider both the caregiver and care recipient as clients in the circle of care, and facilitate their linkage with health and community support services to help address the increasing complexity of care needs.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".