Stratification of nursing intervention on quality of life in stroke patients and Well-being
Bibliographic record
Abstract
Objective To study the nursing intervention on subjective well-being in patients with acute stroke and the quality of life. Methods 120 stroke patients were randomly divided into control and intervention group,with 60 patients in control group with routine out-patient drug treatment and rehabilitation,the interven-tion group than conventional treatment,but also by nursing intervention. Intervention,including hospital care, home care intervention and social care intervention. 2 groups patients on the subjective well-being happiness Memorial University of Newfoundland Scale ( MUNSH) evaluation,2 groups patients on the quality of life before and after intervention developed by the World Health Organization Quality of Life Scale ( WHO-QOL-100) com-parative analysis. Results The of intervention group,subjective well-being of patients with total score was sig-nificantly higher,compared with the control group,the intervention group,by the care of patients quality of life score improved significantly. Conclusion Community stratified care interventions ( including hospitals,fami-ly,social) Nursing intervention can improve the patient’s subjective well-being and quality of life.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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".