Effect of IMB model nursing on patients’ self-perceived burden and cognitive function
Bibliographic record
Abstract
Abstract The purpose of this study is to investigate the effectiveness of a nursing intervention based on the Information-Motivation-Behavioral Skills Model(IMB Model) in patients with chronic heart failure. An average of 100 patients with chronic HF admitted to our hospital from January 2020 to December 2021 were divided into two groups. 50 patients in the experimental group were given IMB model care, and 50 patients in the control group underwent routine care measures. Patients were evaluated both before and after the intervention using the self-perceived burden scale and the Montreal Cognitive Assessment Scale. The experimental results showed that after 6 months of intervention, the self-perceived burden scores of both groups decreased, with the experimental group significantly lower than the control group. The cognitive function was higher in the experimental group than in the control group. This experiment concludes that the IMB model nursing intervention can relieve the burden of chronic heart failure, and improve the cognitive function of the disease in patients with chronic heart failure.
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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) | 0.002 | 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".