Investigation and nursing countermeasure of elderly patients’ self- esteem and happiness
Bibliographic record
Abstract
Objective To investigate the level of self - esteem and happiness of the elderly patients.Methods Elderly patients totaled of 92 cases aged over 60 were surveyed by the questionnaire of Esteem Scale and Memorial University of Newfoundland Scale of Happiness.Results (1) The SES score of elderly patients was ((x)±s) =26.01±4.29 points,Which36 patients below the average score accounting for 39.1％.(2) The MUNSH Score of elderly patients was ((x) ± s) =23.39± 9.90 points,which 51 patients below the average score accounting for 55.4％.(3) SES and MUNSH scale correlation coefficient,r=0.535,P＜0.0001.Conclusions (1) There is a positive related relations between SES and MUNSH Scale.(2) The scores of elderly patients'self-esteem and happiness show a moderate level.To improve the self- esteem and happiness of elderly patients,hospitals,families,communities,should provide comprehensive interventions and improve their quality of life. Key words: Self-esteem; Happiness; Nursing countermeasure
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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 | 0.000 | 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".