Effect of life retrospective intervention on belief about medication and perceived happiness in elderly patients with chronic kidney disease
Bibliographic record
Abstract
Objective To observe the effect of life retrospective intervention on belief about medication and perceived happiness in elderly patients with chronic kidney disease (CKD) . Methods The convenience sampling method was used to select the elderly patients with Stage 3 and 4 CKD who were admitted to the Department of Nephrology of Xinxiang Central Hospital from June 2017 to June 2018. Among these patients, 51 admitted from June to December 2017 were assigned in the control group, 54 admitted from January to June 2018 were assigned in the observation group. The control group received routine care while the observation group were given life retrospective intervention. The levels of belief about medication and perceived happiness were measured and compared before and after intervention between the two groups using Belief about Medication Questionnaire (BMQ) and Memorial University of Newfoundland Scale of Happiness (MUNSH) . Results After the intervention, the belief about medication increased in the two groups, and that in the observation group was higher than the control group, and the differences were all statistically significant (P 0.05) , while it increased in the observation group, and the difference was statistically significant (P<0.05) . After the intervention, the perceived happiness was higher in the observation group than the control group, and the difference was statistically significant (P<0.05) . Conclusions Life retrospective intervention could improve belief about medication and perceived happiness in elderly patients with CKD, which could slow down the progress of CKD. Key words: Aged; Chronic disease; Life retrospective intervention; Chronic kidney disease; Belief about medication; Perceived happiness
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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 | 0.001 |
| 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 | 0.001 |
| 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".