郭霞
泰安新泰市第二人民医院,山东 泰安 271219
摘要:目的:对异常分娩的孕产妇接受临床系统性护理干预的效果及对生活质量的影响进行分析。方法:此次研究,选择我院之中收治的100例异常分娩的孕产妇,收治时间为2019年2月至2020年9月期间,引导产妇接受研究随机分组,接受基础护理产妇50例为对照组,接受系统性护理干预产妇50例为研究组,对两组最后所得研究结果进行探讨和分析。结果:研究组产妇的分娩结局,相对比于对照组产妇而言明显较优(P<0.05);研究组产妇的生活质量评分结果,相较于对照组产妇而言明显较高(P<0.05)。结论:结果表明,异常分娩的孕产妇,采取系统性模式为护理方案,可以有效改善产妇的分娩结局,并提升产妇的生活质量,临床价值较高。
关键词;异常分娩;孕产妇;系统性护理干预;分娩结局
所谓异常分娩,是指在产妇分娩过程中受到产道、产力等因素的影响,致使产妇分娩受到阻碍,胎儿分娩难度增加,也就是民众所谓的难产,一旦出现异常分娩,则产妇以及胎儿的安全均会受到极大的威胁,临床当前对于异常分娩干预中,适合的护理模式重要性不言而喻。常规的护理措施较为单一,且被动性极强,无法有效缓解产妇的异常分娩情况,随着护理模式的不断提升,系统性护理模式逐渐成为临床常见的护理方案之一[1]。本次研究,主要针对异常分娩的孕产妇进行系统性护理干预的临床效果及对生活质量的影响进行调查和研究。详细内容见下文:
1、资料与方法
1.1一般资料
选择我院之中收治的100例异常分娩的孕产妇,收治时间为2019年2月至2020年9月期间,接受研究随机分组;研究组产妇50例,年龄均值为(27.25±2.33)岁,对照组产妇50例,年龄均值为(27.41±2.43)岁;产妇在参与研究之前,需进行基础资料登记,以及数据统计,结果为P> 0.05方可开启研究。产妇提供亲签研究知情书、以及参与同意书。
1.2研究方法
对照组50例产妇接受基础护理干预:对产妇进行院内基础设施介绍,以及产前准备内容,发放健康宣讲手册,确保产房清洁,回答产妇以及家属各种疑问和需求。
研究组50例产妇接受系统性护理干预:1)产前评估:在分娩前对产妇情况进行评估,对子宫收缩情况、胎儿方位等进行密切关注,同时产妇分娩前的情绪进行评估,对产妇的产道以及骨盆进行检查;2)心理干预:对所有产妇进行产前心理干预,帮助产妇正确认知分娩,并最好心理准确,对于情绪波动较大的产妇,需要立即进行专业心理辅导和干预,并取得家属配合[2];3)疼痛护理:分娩进行中,需要采取不同方式对产妇进行疼痛干预,包括体位调整、分担注意力、按摩、呼吸训练等,必要情况下选择镇痛药物进行麻醉干预;4)饮食干预:对于产妇的饮食一定要严格把控,尽量使用可补充体力的食物,确保产妇分娩期间的产力充足,避免水分过多摄入。
1.3研究指标
对产妇的分娩结局进行详细观察和记录;生活质量评估量表,对两组产妇分娩后的生活质量进行评估,量表中共包括8个调查维度,满分120分,分数越高,则产妇的生活质量越好[3]。
1.4统计学分析
本次选择统计学软件SPSS 22.2作为数据处理工具,其中计数资料表示为(%),检验为x2计算;计量资料表示为(x±s),检验为t计算,P<0.05。。
2、结果
2.1两组产妇的生活质量评分结果对比
表1数据中显示,研究组产妇的生活质量评分结果,相较于对照组产妇而言明显较高(P<0.05)。
表1两组产妇的生活质量评分情况调查表(x±s)
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)
2.2两组产妇的分娩结局结果对比
表2数据中显示,研究组产妇的分娩结局,相对比于对照组产妇而言明显较优(P<0.05)。
表2两组产妇的分娩结局情况调查表[n(%)]
![](data:image/png;base64,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)
3.讨论
分娩过程中会受到各种因素的影响,产妇自身体力问题、胎儿方位问题等,最终导致异常分娩出现,在相关的研究之中指出,导致异常分娩出现的因素包括产力不足、产道异常、胎位异常以及心理情绪问题,为了确保异常分娩产妇的分解安全,需要在分娩期间采取适当的护理干预措施[4]。系统性护理模式,首先对产妇的情况进行评估,分析产妇可能出现异常分娩的原因,进而制定计划,对不同产妇的异常情况采取干预措施,包括缓解产妇心理情绪、加强健康指导以及饮食指导,并在分娩过程中选择适合的方式缓解产妇疼痛等,所得效果获得临床的认可[5]。综合分析所得结果可知,异常分娩的孕产妇,采取系统性模式为护理方案,可以有效改善产妇的分娩结局,并提升产妇的生活质量,临床价值较高
参考文献
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