Roles and Responsibilities of Family Home Caregivers for Elderly People in Qatar: Experiences and Challenges
Bibliographic record
Abstract
The family, as a social institution in Qatar, is the main care provider for its older adult members. In this paper we examine what caregivers do – their work practices – and the different roles and responsibilities that home caregivers perform when providing care for elderly persons in Qatar. The findings of this study were based from a larger study using qualitative descriptive design. This article demonstrates the work practices and main challenges that caregivers face while taking care of their elderly. We argue that a main source of stress for caregivers is the lack of formal services and supports geared towards individuals caring for their ageing loved ones; addressing this service gap would alleviate some of the demands associated with caregiving. The paper will present exemplars of caregivers taking care of their elderly relative. These exemplars are used to support the analysis which is clustered around identified related themes. The main findings regarding the challenges that caregivers face include: feelings of responsibility; dependency on caregiver; emotional care; social planning; problem solving; and environmental quality. All of the themes impacted the health of the caregivers and led to stress and burden on the life of the caregiver.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".