The Role of Health care Professionals in the Decision-Making Process of Family Caregivers Regarding Placement of a Cognitively Impaired Elderly Relative
Bibliographic record
Abstract
In this article, we explore the role of health care professionals within the decision-making process of family caregivers regarding placement of a cognitively impaired elderly relative. Grounded theory was used to describe interactions with health care professionals, modulating the caregivers’ decision-making process. A total of 18 caregivers of cognitively impaired elderly relatives were interviewed every 6 months over an average of 20 months. Results showed that health care professionals were involved in the decision-making process in three ways: (a) in assessing the need for placement; (b) in helping caregivers navigate through the health care system; and (c) in taking care of family dynamics. There were great variations in the way health care professionals supported caregivers. Future research is needed to identify professional interventions that are helpful for caregivers and in which context.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".