Effect of prophylactic preoperative nursing interventions on prevention of endometritis among women undergoing elective caesarean delivery
Bibliographic record
Abstract
Objective : The single most important risk factor for postpartum endometritis is cesarean delivery. Aim: This study aimed to evaluate the effect of prophylactic preoperative nursing interventions on prevention of endometritis among women undergoing elective caesarean delivery. Methods : Setting: This study was conducted in Operating Rooms, Postnatal Wards and Clinics of the Obstetrics and Gynecology Department at Mansoura University Hospital. Study Design: A randomized controlled clinical trial was utilized. Sample: A purposive sample of 150 parturient women undergoing elective cesarean section were randomly chosen according to inclusion criteria and then divided into three equal groups of 50 parturient women. Group one the control group received routine preoperative abdominal and thigh scrub with 10% Povidone Iodine and taken standard antibiotic regiment. There were two intervention groups; Group two participants received vaginal washing with 0.9% saline solution and group three participants received vaginal washing with 10% Povidone–iodine solution in addition to routine preoperative care. Results : The findings of this study revealed that the risk of developing post-elective caesarean delivery endometritis was significantly lower in the intervention groups compared to the control group ( P < .05). Conclusions : Vaginal washing with Povidone-iodine or saline solution immediately prior cesarean delivery significantly reduces the rate of post-elective caesarean delivery endometritis. Recommendation: Vaginal washing immediately prior to cesarean delivery should be a routine care to reduce the risk of postpartum endometritis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".