蒋玲琳
江南大学附属医院(江苏无锡214000)
【摘要】目的:研究风险管理应用在老年髋部骨折护理中的效果。方法:随机选取本院老年髋部骨折患者58例,治疗时间为2018年10月~2019年10月。采用抽签法随机将患者分为两组,对照组(n=29例)采用常规护理,观察组(n=29例)采取风险管理。结果:观察组风险事件发生率低于对照组,骨折康复时间短与对照组,焦虑评分低于对照组,护理质量管理评分高于对照组,(P<0.05)。结论:采用风险管理的护理效果更为显著,可有效减少护理风险事件,提高护理质量,促进患者尽快痊愈。
【关键词】风险管理;老年髋部骨折;护理管理
随着我国老龄化趋势的加重,老年疾病发生率也随之不断增长,进而严重影响老年群体的身体健康和生活质量。老年髋部骨折是老年人高发的骨科疾病,由于老年人多伴有骨质疏松,且免疫功能与抵抗功能下降,因此易引发髋部骨折[1]。患者多表现为剧烈疼痛、活动受限、运动障碍等临床症状,由于老年人在治疗期间容易出现多种风险事故,因此,必要的风险管理措施是提升对患者护理效果的重要依据[2]。报道如下。
1资料与方法
1.1一般资料
经伦理委员会等部门批准,选取2018年10月~2019年10月收治的58例老年髋部骨折患者。按照随机抽签法,将患者随机分入至对照组(n=29例)、观察组(n=29例)。观察组中,男性14例,女性15例,年龄62~73(69.41±3.15)岁;对照组中,男性16例,女性13例,年龄64~75(70.28±3.24)岁。两组患者年龄等一般资料相比(P>0.05),具有可比性。
1.2方法
在本次研究中,对照组采用常规护理,为患者讲解疾病知识,给予运动指导,定时帮助患者翻身等;观察组实施风险管理,具体如下。
①组建小组:在正式开展护理前,首先应成立风险管理小组,由护士长作为小组长,带领其他护理人员。分析护理工作中易出现的护理风险因素,明确患者的需求,并根据患者的实际病情等方面,制定完善的风险管护理方案。
②心理管理:由于多数老年患者心理调节能力较差,加之对疾病知识的认知缺乏,因此容易产生焦虑、烦躁等多种不良情绪。首先,护理人员应充分向患者普及髋部骨折的相关知识,使其正确认识疾病;并采用音乐疗法、聊天等方式帮助患者消除负性情绪,使其保持愉悦心理。
③饮食管理:叮嘱患者在2周内应保持清淡饮食,尽量选择易消化的食物,忌生冷、辛辣、油腻等食物;2周后可适当选择高营养、富含维生素等食物,促进骨折愈合;1个月后可适当增加动物肝脏的摄入,以改善预后。
④并发症预防管理:首先,护理人员应协助患者保持平卧位,使用软枕垫高足踝部,以减轻足部压力;并定时为其改变体位,避免局部压力过大,引起压疮。叮嘱患者做好保暖工作,避免受凉。指导患者尽早下床运动,进行早期康复训练,并为其提供按摩护理,预防下肢静脉血栓形成。
1.3效果判定
(1)记录两组患者坠床、跌倒、便秘、压疮的发生情况。
(2)记录两组患者骨折康复时间。使用焦虑自评量表评定患者的焦虑情绪,采用4级评分标准,分数越高,负面情绪严重,得分>50分就表现为已经存在负面情绪。采用医院自制护理质量管理评分表,对两组护理质量进行评分,包括病房管理、护理态度、护理操作、舒适度,分数越高,代表护理质量越高。
1.4统计学软件
应用统计学软件spss22.0对资料进行分析处理,患者的计量资料()与计数资料(%),分别应用t、x2检验,以P<0.05为差异有统计学意义。
2结果
2.1两组风险事件发生情况对比
观察组风险事件发生率为6.90%,对照组为31.03%,(P<0.05)。详见表1。
表1两组风险事件发生情况对比[n(%)]
![](data:image/png;base64,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)
2.2两组护理效果对比
观察组骨折康复时间短与对照组,焦虑评分低于对照组,护理质量管理评分高于对照组,(P<0.05)。详见表2。
表2两组护理效果对比()
![](data:image/png;base64,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)
3讨论
髋部骨折是老年人高发的骨折疾病,包括股骨颈骨折和转子间骨折,并且多数患者骨折发生后,易引起坠积性肺炎、深静脉栓塞、褥疮等其他并发症[3]。老年髋部骨折可采取非手术治疗或手术治疗,但无论采用哪种治疗方式,都应为加强对患者的护理,从而降低并发症的发生和死亡率[4]。
本次研究结果显示,观察组风险事件发生率低于对照组,骨折康复时间短与对照组,焦虑评分低于对照组,护理质量管理评分高于对照组,(P<0.05)。通过为患者实施风险管理,可有效降低风险事件的发生概率,帮助患者消除不良情绪,进而可提高患者康复效果;同时也能进一步提升护理质量和护理工作效率。在护理过程中,应为患者实施心理干预,缓解其负性情绪,并给予饮食指导,促进疾病的亏负,做好并发症护理等,从而帮助患者提升预后效果。
综上所述,采用风险管理的护理效果更为显著,可有效减少护理风险事件,提高护理质量,促进患者尽快痊愈。因此,风险管理模式值得在临床上推广。
【参考文献】
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