“Caring as if it were my family”: Health care aides' perspectives about expert care of the dying resident in a personal care home
Bibliographic record
Abstract
OBJECTIVE: A qualitative pilot study was conducted to identify and describe expert behaviors in care of the dying resident in a personal care home setting from the perspective of health care aides (N = 5) nominated by their peers as demonstrating excellence in end-of-life care. METHODS: Data was collected through audio-taped semi-structured interview, and transcribed verbatim using constant-comparative analysis procedures. RESULTS: The over-arching theme emerging from the data was "caring as if it were my family." Subsumed within this main theme included the sub-themes of: (1) care of the resident; (2) tending to the environment; (3) care of the family; (4) going to bat; and (5) processing loss. SIGNIFICANCE OF RESULTS: The findings from this pilot study provide preliminary empirical evidence that could inform educational programs for and performance evaluation of, health care aides providing end-of-life care in personal care home environments.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".