Antecedents of Elderly Home Residency in Cognitive Healthy Elders: A Qualitative Study
Bibliographic record
Abstract
Admission to elderly homes brings with itself fear of losing home and many other mental consequences to both the elder and family members. The aim of this study was to explore the experiences of elders about factors influencing living in the elderly home. Using a qualitative design, 14 elder people living in elderly homes were chosen through purposive sampling based on defined criteria. Semi-structured interviews were held with the participants and field noting was taken during the interviews. Collected data was analyzed using thematic analysis, which resulted in the development of three main themes: "basic Predictors", "self-care crisis", and "role crisis", which were consisted of a couple of subthemes. We conclude that nurses to better care in community and elderly homes, need to know that living in elderly homes has universal predictors; Of course their weight and position are different on different contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".