The Index of Well-Being and Its Influential Factors among Family Members of Home-Care Elders
Bibliographic record
Abstract
Objective To explore the index of well-being and its influential factors among family members of home-care elders with the hope to provide basis for effective intervention programs.Methods Cluster sampling method was employed and 150 family members of home-care elderly from one certain community were investigated with self-designed questionnaire and the MUNSH(Memorial University of Newfoundland Scale of Happiness).Single factor analysis was used to analyze the data.Results The mean index of well-being of these 150 family members was(30.8±6.7).It was positively correlated with friends-making,phone calls,activities,and communication with family members(P0.05)while negatively correlated with family income bathing ability,sleeping quality,diet ability and defecation ability(P0.05).Conclusion The index of well-being among family members of home-care elders is relatively low,which can be enhanced through efforts on home-care support by the government as well as improvement of the physical and mental conditions of the elderly.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".