Self-Efficacy Training Improved The Quality of Life for Cancer Patients Undergoing Chemotherapy
Bibliographic record
Abstract
The survival of cancer patients is often short despite receiving therapy, but it really depends on various things including those that play an important role is the ability of patients to improve their life status in dealing with illnesses and therapy through increased self-efficacy because self-efficacy of cancer patients often experience reduction due to cancer and the therapy it undergoes. The pre–test and the first post -test and also the second post-test research design in the form of self-efficacy training of cancer patients undergoing chemotherapy used a quasi-experimental design without a control group. Data analysis used dependent t test and repeat ANOVA test. There were significant effects and differences in self-efficacy training on the quality of life of cancer patients undergoing chemotherapy with the p value dependent test was 0,000 and the repeat ANOVA test was p value 0,000. The uses of structured self-efficacy training be one of the considerations of nursing interventions to improve the quality of life of cancer patients undergoing chemotherapy.
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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 | 0.002 |
| 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) | 0.005 | 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".