Developing Competencies of Maternity Nurses on Relieving Postpartum Perineal Pain Using Cold Application
Bibliographic record
Abstract
Nursing competency is one of the factors to be considered in assessing the performance of a nurse. It includes knowledge, skills and attitudes (KSA) which could lead to the achievement of the goals of the nurse to the patient. A variety of nursing interventions aimed at relieving perineal pain are largely based on localized cooling. Unfortunately, these interventions may not follow the accurate nursing practice for providing immediate and adequate postpartum perineal pain relief. The accurate assessment and appropriate management of postpartum perineal pain requires high levels of nursing skills and competency. Aim of the study: To investigate developing competencies of maternity nurses on relieving postpartum perineal pain using cold application. Method: A quasi-experimental research design was used. Sample: A convenience sample of 70 staff nurses who had worked in the study settings and purposive sample of 200 postpartum women from the same place. Settings: The study was conducted at the postpartum unites in Teaching Hospital and University Hospital, at Shebin El-Kom, Menoufia Governorate, Egypt. Instruments: Four instruments were used in this study for data collection, a structured interviewing questionnaire, competency standards checklist (CSC), short-form McGill pain questionnaire (SF-MPQ) and postpartum comfort questionnaire (PCQ). Results: There was an increase in the percentage of nurses who were classified at the good level in their knowledge and practice regarding perineal cold application to postpartum women in the post-intervention compared to the pre-intervention and overall competency practice increased significantly (p < .001) in the post-intervention compared to the pre-intervention. Conclusion: The nurses who are subjected to competency intervention about relieving the postpartum perineal pain using cold application had a higher knowledge score and a competent practice in the post-intervention than pre-intervention. Recommendations: In-service training programs should be provided for developing the nurses’ competency regarding postpartum perineal cold application in order to develop their best practice.
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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 | 0.003 |
| 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) | 0.001 | 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".