Bibliographic record
Abstract
目的 探讨知-信-行模式在阻塞性睡眠呼吸暂停低通气综合征(OSAHS)患者健康教育中 的应用效果.方法 将118例OSAHS患者按照随机数字表法分为实验组和对照组,每组59例,对照组患者接受常规健康教育,实验组将知-信-行模式应用于健康教育中,比较两组患者对疾病相关知识的认知水平和生活质量情况.结果 健康教育后,实验组Calgary睡眠呼吸暂停生活质量指数(SAQLI)各维度评分中日常活动(6.7±0.9)分,社会交往(6.8±0.7)分,情感(6.7±0.9)分,症状(5.8±1.2)分,均优于对照组,差异有统计学意义(t值分别为5.741 0,6.082 0,5.9449,4.582 3；P＜0.05)；实验组患者对OSAHS疾病各方面知识的知晓情况优于对照组,差异有统计学意义(P＜0.05).结论 对OSAHS患者通过知-信-行模式进行健康教育,可以提高患者对疾病知识掌握程度以及患者的生活质量水平。
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".