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2015年-2017年某院二孩分娩数据对比 被引量:4

Comparative Analysis on Two-child Delivery Medical Record in a Hospital from 2015 to 2017
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摘要 目的对比分析某院2015年-2017年分娩病例,了解医院周边地区和保障范围内育龄妇女二孩分娩特点。方法查询医院信息系统中2015年1月1日至2017年12月31日,出院第一诊断名称为分娩的病案,再通过病案浏览软件逐一浏览每人入院记录的生产史,掌握其生育孩子数量情况。采用Excel和SPSS20.0软件对数据进行统计分析。结果 "全面二孩政策"颁布之后,二孩生育比例上升。二孩生育妇女以31岁-40岁年龄段最多。两孩年龄间隔在10岁之内的占82.78%。与政策出台之前相比,孕产妇有贫血、早产、瘢痕子宫、不良孕产史等11种并发症发生率差异有统计学意义;产后出血、胎儿宫内窘迫、胎儿畸形、妊娠期糖尿病等20种并发症发生率差异无统计学意义。结论育龄妇女应合理科学选择妊娠年龄,重视产前检查,减少妊娠并发症和新生儿出生缺陷的发生率。 Objective The article comparative analyzes the delivery cases of a hospital from 2015 to 2017, and we can understand the two-child fertility characteristics of the women of childbearing age at peripheral area and inside safeguard limits. Methods First of all, it queries the home pages of medical records in which the first discharge diagnosis was described as delivery and diagnosis-time was from January 1, 2015 to December 31, 2017, and then browses every delivery history of the admission record, knowing the number of children. It analyzes the data by excel and SPSS20.0. Results After the introduction of the "Universal two-child policy", the rate of birth of two-child has risen. Two-child delivery age from 31 to 40 years old is highest. The two children age interval is 82.78% within 10 years. Compared with the previous policy, the incidence of 11 kinds of complications such as anemia, premature birth, scar uterus and adverse pregnancy history were statistically significant. Postpartum hemorrhage, fetal distress, fetal abnormalities, gestational diabetes and 20 other complications were not statistically significant. Conclusion Women of childbearing age should rationally choose the age of pregnancy, pay attention to prenatal examination, and reduce the incidence of pregnancy complications and birth defects.
作者 苏云霞 于莉莉 侯兆红 Su Yunxia;Yu Lili;Hou Zhaohong(Medical Records Statistics Office,General Hospital of Jinan Military Region,Jinan 250031,Shandong Province,China)
出处 《中国病案》 2018年第8期52-55,共4页 Chinese Medical Record
关键词 二孩政策 分娩 病案分析 Two-child policy Delivery Medical record analysis
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