Postpartum Pain Relief: A Randomized Comparison of Self-Administered Medication and Standard Administration
Bibliographic record
Abstract
OBJECTIVE: To compare pain relief in postpartum women receiving analgesia administered by nurses with the relief achieved by use of self-administered medication (SAM). METHOD: This randomized trial included women in spontaneous or induced labour or admitted for elective Caesarean section (CS). Women were stratified according to the mode of delivery. In the standard group, nurses administered the medications. In the SAM group, women kept the medications at the bedside and recorded each dose. The women were asked to record their pain level with a validated scale before and one hour after the administration of analgesia. A global pain score was calculated using the mean of these scores, and the satisfaction of patients and nurses with the process was recorded. RESULTS: We recruited 345 women for the study. Eleven women (3.15 %) were lost to follow-up. We analyzed data from 197 women in the vaginal delivery arm and 133 women in the CS arm. There was no difference between the global pain scores before and one hour after the administration of analgesia in each group, independent of the mode of delivery. Women who used SAM and had a vaginal delivery were significantly more likely to have used no medication (P = 0.02) or to have used acetaminophen (P = 0.008), and fewer of these women took naproxen (P = 0.05). No significant difference was seen in women who had CS. Narcotic use was similar in each group. Women who used SAM were more likely to indicate that they would choose this method again and recommend it to others. The level of satisfaction with SAM expressed by nurses did not change after the study. CONCLUSION: Postpartum pain relief was similar for women who had standard administration of medication by nurses and those who had SAM. More women using SAM used either no medication or acetaminophen only, and more women using SAM were highly satisfied with their method of pain relief. Use of self-administered medication should be considered for every postpartum unit.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".