The Effect of Chamomile Cream on Episiotomy Pain in Primiparous Women: A Randomized Clinical Trial
Bibliographic record
Abstract
Introduction: Episiotomy is a surgical incision made in the perineum to enlarge it. Perineal pain is the most common complaint of mothers after episiotomy. Chamomile extract has been proposed as a sedative in traditional medicine. This study was conducted to assess the effect of chamomile cream on the pain after episiotomy. Methods: This triple blind clinical trial was performed on 114 eligible women at Ommolbanin Hospital in Mashhad, Iran in 2014.They were randomly assigned to two groups using random blocks. After delivery, mothers in the intervention group used 0.5 g of prescribed chamomile while the control group used placebo cream on the stitch twice a day lasting ten days. Episiotomy pain was evaluated before intervention and 12 hours after episiotomy repair and also on the first, seventh, tenth and fourteenth day after delivery by McGill pain questionnaire. Data was analyzed by SPSS ver.13. Results: There was no significant difference between the two groups before the intervention, 12 hours and the first day after delivery. However, a significant difference was found on the seventh, tenth and fourteenth day after delivery. McGill mean (SD) score on the seventh, tenth and fourteenth in experimental group was 11.36 (5.04), 4.44 (3.43) and 7.16 (4.10) respectively. It was reported 14.88 (7.34), 7.41(4.92) and 9.96 (4.81) in placebo group, respectively. Conclusion: Chamomile cream can be used to reduce episiotomy pain in Primiparous us women.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".