We share the care: family caregivers’ experiences of their older relative receiving home support services
Bibliographic record
Abstract
Although both family care and home support are considered essential components of home-based health-care, the experiences of family caregivers who have a relative in receipt of home support services are not well understood. Little is known about what aspects of home support services assist family caregivers or hinder them in their caregiving. This study examines family member's experiences of the home support services received by their elderly relatives. Based on a previous Canadian study of contributions in family caregiving, we developed a conceptual model for understanding multiple contributions in caregiving. The present study used this conceptual model to guide the analysis of data from in-depth interviews with family caregivers (N = 52), completed August 2007-April 2008, who have or had an older relative in receipt of home support services in British Columbia, Canada, in the previous 12 months. Verbatim transcripts were read, re-read and independently coded by three members of the research team to identify common themes. Themes relating to direct care (care provided directly to the elderly person) and assistive care (care provided to one caregiver by another) were identified. In discussing the direct care provided by workers, family members emphasised dissatisfaction with instrumental assistance provided by home support workers while also stressing the importance of affective assistance. In commenting about assistive care there were three key themes: caring together, care management, and quality assurance and monitoring. In conclusion, the important role of home support in providing relief for caregivers is highlighted and implications for caregiver policy are discussed.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".