李娃
平阳县人民医院 浙江温州 325400
摘要:目的 对“以家庭为中心的产科护理模式”进行探讨。方法 从我院2019年1月至12月收治的100例产妇作为研究对象,进行对比实验。100名产妇分成两组,50名产妇作为实验组,采用“以家庭为中心的产科护理模式”护理;另外50名产妇作为对照组,采用优质护理。对两组产妇在产后的抑郁程度、满意度进行对比。结果 “以家庭为中心的产科护理模式”护理的产妇在产后抑郁程度方面明显低于对照组的产妇,在满意度方面明显高于对照组的产妇。结论 “以家庭为中心的产科护理模式”明显优于常规优质护理,可以明显地改善产妇产后抑郁度,疏导产妇的不良情绪,具有较好推广应用价值。
1一般资料与方法
1.1一般资料
从我院2019年1月至12月收治的产妇中选取100名产妇进行对比实验。我院在征询产妇及家属同意的情况下,100名产妇分成两组,50名产妇作为对照组,采用优质护理;另外50名产妇作为实验组,采用“以家庭为中心的产科护理模式”护理。对照组产妇年龄23岁~35岁,平均年龄(26±0.56)岁,平均孕周(40±0.78)周;实验组产妇年龄22岁~36岁,平均年龄(27±0.87)岁,平均孕周(40±0.34)周。两组产妇的信息基本相同,无统计学意义。
1.2 方法
对照组采用优质护理,对产妇的生理健康教育、心理健康教育、产前、产中、产后护理进行优质护理。
实验组采用“以家庭为中心的产科护理模式”:改变传统护理模式:在传统护理模式上多采取的是医护人员全程参与护理的方式,在实验组中加入鼓励家庭成员参与护理的模式,尤其是孕妇直系亲属。充分发挥尊重产妇的理念,将护理过程变得更加人性化,不仅可以改善护理服务质量,还可以增进家庭氛围,进一步有利于护理人员与孕妇之间的沟通,避免孕妇的恐慌心理产生。庭化住院环境。医院依据产妇需要,设置单间或双人间,为孕产妇的家属提供床铺;房间中以布间隔,配置沙发床,可供家属在此休息;房间中空调、电视、冰箱、WIFE等设施齐全,方便孕妇与家人生活;产妇可以携带自己喜欢的物品住院,墙壁、床头摆放自己喜欢的孩童照片、自己喜欢的摆件;房间内使用挂画进行点缀,可增设小茶几和椅子,营造家庭氛围,房间内设置微波炉,方便加热食物;粉红色床单家庭氛围感更强,可以缓解孕妇心理压力,对病房进行点缀,营造成孕妇自己所喜欢、熟悉的家庭气氛。
1.3 指标
对两组产妇在产后的抑郁程度、满意度进行调查、统计分析。
1.4 分析方法
运用卡方检验中方差分析的P值进行比较,用统计学的P值来说明对照组、实验组之间是否存在明显的差异。当P值的范围:0.05>P值>0.01,有统计学意义;当P值的范围:0.01>P值>0.001,有高度统计学意义。
2、结果
2.1 采用优质护理的对照组产妇和采用“以家庭为中心的产科护理模式”的实验组产妇在抑郁程度方面的比较结果见表1:
表1:实验组产妇、对照组产妇在抑郁程度方面对比表
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)
分析:P值的计算结果表明,采用优质护理的对照组产妇和采用“以家庭为中心的产科护理模式”的实验组产妇在抑郁程度方面存在明显的差异,两者差异有具有统计学意义。
2.2 采用优质护理的对照组产妇和采用“以家庭为中心的产科护理模式”的实验组产妇在满意度方面的比较结果见表2:
表2:实验组产妇、对照组产妇在满意度方面对比表
![](data:image/png;base64,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)
分析:P值的计算结果表明,采用优质护理的对照组产妇和采用“以家庭为中心的产科护理模式”的实验组产妇在满意度方面存在明显的差异,两者差异有具有统计学意义。
3、结论
“以家庭为中心的产科护理模式”明显优于常规优质护理,在实验组中加入鼓励家庭成员参与护理的模式,充分发挥尊重产妇的理念,将护理过程变得更加人性化,改善护理服务质量,增进家庭氛围,可以明显地改善产妇产后抑郁度,疏导产妇的不良情绪,具有较好推广应用价值。
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