ArticleIranian journal of nursing and midwifery research
Comparison of Maternal-Infant Attachment in Cesarean Delivery Based on Robson Classification: A Cross-Sectional Study.
Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Maternal-Neonatal Attachment in Intended and Unintended Pregnancies during the First 24 Hours after Childbirth.Journal of caring sciences · 2022Article
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4 authors.
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Abstract
backgroundThe Robson criteria allows for standardized comparisons of data and possible driving changes in Cesarean Section (C/S) rates and complications. The aimed to compare maternal-infant attachment in C/S based on Robson Classification. MATERIALS AND
methodsThis cross-sectional prospective study was conducted on 369 women who had undergone C/S in Hazrate Zeinab Peace Be Upon Him (PBUH), Hafez, and Shooshtari hospitals affiliated to Shiraz University of Medical Sciences, Iran from April 2018 to March 2019. The study data were collected using a demographic form, an obstetric form, and Avant Checklist (AC) at postpartum and pre-discharge stages. Each participant was placed in Robson classification and the attachment score was calculated in each Robson Classification, and a comparison was made among the 10 groups. The data were analyzed into the SPSS 16 software and using descriptive statistics and paired
resultsThe total mean (SD) score of attachment was 38.73 (18.65) at 1-7 h postpartum and 90.52 (23.79) at pre-discharge. The highest total mean (SD) score of attachment was observed in group 6 (86.78 (8.70) at postpartum and 118.67 (4.47) at pre-discharge). The lowest total mean (SD) score of attachment was observed in group 10 (12.79 (2.37) at 1-7 h postpartum and 45.44 (7.99) at pre-discharge).
conclusionsObstetric characteristics in Robson Classification, parity, previous C/S, gestational age, onset of labor, fetal presentation, and number of fetuses were effective in clarifying information. The use of this system is necessary to determine the causes of increased C/S cases in low-income and middle-income countries.
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