Bibliographic record
Abstract
目的 探讨陪伴待产配合自由体位管理在自然分娩初产妇中的应用效果。方法采用简单随机化分组方法，将2013年4-10月自然分娩的168例初产妇分为观察组和对照组，每组84例。当产妇宫口开至3 cm后，观察组产妇采用陪伴待产配合自由体位分娩助产，由家属共同参与产妇体位选择；对照组产妇采用传统卧位或半卧位姿势待产及分娩，分娩时无家属陪伴。两组产妇均有导乐护士一对一陪伴。观察两组产妇产程时间。两组产妇均于分娩后采用简化McGill疼痛问卷（ SF-MPQ），分娩控制量表（ LAS），视觉模拟量表（ VAS）分别评价产痛、分娩控制感、焦虑程度。结果观察组第一产程时间为（450．62±132．38）min，对照组为（524．61±128．94）min，观察组短于对照组，差异有统计学意义（t＝-2．689，P＜0．05）；两组第二产程、第三产程时间差异无统计学意义（t值分别为-1．521，-1．336；P＞0．05）。观察组VAS、VRS、PPI、VAS-A 得分分别为（6．07±1．46），（19．89±3．26），（2．78±0．83），（3．57±1．17）分，对照组分别为（8．39±1．58），（28．76±2．87），（3．92±0．88），（6．29±1．28）分，观察组均低于对照组，差异均有统计学意义（t值分别为-7．786，-9．987，-6．238，0．876；P＜0．05），LAS得分观察组为（171．47±18．35）分，对照组为（123．26±18．37）分，观察组高于对照组，差异有统计学意义（t＝0．472，P＜0．05）。结论陪伴待产配合自由体位分娩能够减少初产妇自然分娩时的产痛，缓解焦虑情绪，提高产妇的分娩控制感，有利于缩短第一产程，促进正常分娩。
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.021 |
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; both teacher heads agree on what is shown here.
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".