five

S1 Dataset -

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/S1_Dataset_-/24206999
下载链接
链接失效反馈
官方服务:
资源简介:
Introduction The decision to delivery interval is a key indicator of the quality of obstetric care. This study assessed the decision to delivery interval for emergency cesarean sections and factors associated with delay. Methods We conducted a cross-sectional study between October 2022 and December 2022 in the labor ward at Mbale regional referral hospital. Our primary outcome variable was the decision to delivery interval defined as the time interval in minutes from the decision to perform the emergency caesarean section to delivery of the baby. We used an observer checklist and interviewer administered questionnaire to collect data. Stata version 14.0 (StataCorp; College Station, TX, USA) was used to analyze the data. Results We enrolled 352 participants; the mean age was 25.9 years and standard deviation (SD) ±5.9 years. The median (interquartile range) decision to delivery interval was 110 minutes (80 to 145). Only 7/352 (2.0%) participants had a decision to delivery time interval of ≤30 minutes. More than three quarters 281 /352 (79.8%) had a decision to delivery interval of greater than 75 minutes. Emergency cesarean section done by intern doctors compared to specialists [Adjusted Prevalence Ratio (aPR): 1.26; 95% CI: (1.09–1.45)] was associated with a prolonged decision to delivery interval. Conclusion The average decision to delivery interval was almost 2 hours. Delays were mostly due to health system challenges. We recommend routine monitoring of decision to delivery interval as an indicator of the quality of obstetric care.
创建时间:
2023-09-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作