Pengaruh Akupresur Lo4 (he kuk) dan Thai Cong terhadap Tingkat Nyeri Persalinan Kala I pada Ibu Bersalin
Bibliographic record
Abstract
The study of women in the first stage of labor using McGill Pain Questionnaire to assess pain found that 60% of maternity described pain due to uterine contractions was very severe (intolerable, unverable, extremely severe), 30% moderate pain. In multipara 45% of pain is severe, 30% is moderate pain, 25% is mild pain (Acute Pain Services (APS), 2007). The aim of this study was to determine the effect of acupressure on the level of labor pain at the first time in maternity. Type of quantitative research, research design Quasy experiment. The population of first-time maternity with a 4-6 cm opening numbered 45 women giving birth per month, a sample of 40 respondents. The one group pre - post-test research design with interventions with acupressure point combinations L04 (he kuk) and thai cong that were carried out during the first active phase was 4-6 for 40 times at the time of his joke. The results showed that the level of first stage pain in maternity before acupressure was 6.00, SD 1,219 and after acupressure was 5.05 SD 1,218, it was concluded that there was an acupressure effect on the level of labor pain (p-value=0,000). The application of L04 (he kuk) acupressure and Cong Thai can reduce labor pain in the first stage active phase of opening 4-6.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".