Episiotomy-related perineal pain and breastfeeding self-efficacy among postpartum mothers
Bibliographic record
Abstract
Introduction: Episiotomy-related perineal pain may significantly impact breastfeeding self-efficacy, influencing new mothers' ability to successfully initiate and maintain breastfeeding. The aim of this study was to determine the relationship between MPQ-SF and postpartum BSES-SF scores. Methods: This descriptive study was conducted at a maternity hospital in Istanbul and involved 208 volunteer mothers who had undergone an episiotomy during childbirth. Data were collected using a “Participant Information Form,” the “McGill Pain Questionnaire-Short Form,” the “Postpartum Breastfeeding Self-Efficacy Scale-Short Form,” and the “Visual Analogue Scale.” The data were analyzed using a statistical program, with significance set at P-value < 0.05. Results: The average age of the mothers was 27.29 ± 5.88 years, with 44.7% experiencing their first childbirth. Severe perineal pain was reported by 9.1% of the mothers, and 35.6% indicated that this pain affected their ability to breastfeed. A significant relationship was found between perineal pain and both the McGill Pain Questionnaire score and breastfeeding self-efficacy score (P-value < 0.05). Additionally, there was a negative correlation between postpartum McGill Pain Questionnaire scores and postpartum breastfeeding self-efficacy scores (P-value < 0.05). Conclusion: Postpartum perineal pain affected mothers' breastfeeding self-efficacy. It is recommended to take measures to reduce perineal pain that negatively affects mothers' breastfeeding. Keywords: breastfeeding; episiotomy; perineal pain; postpartum; self-sufficiency
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".