李明霞
天全县中医医院 四川雅安 625500
【摘要】目的:分析预见性护理程序在治疗创伤性骨盆骨折患者中的应用及对患者并发症的影响。方法:随机将我院收治的84例创伤性骨盆骨折患者平均纳入对照组(n=48)与预见组(n=48),对照组给予常规护理措施,预见组在常规护理基础上给予预见性护理,对比护理后生活质量和并发症发生率。结果:预见组各项生活质量指标评分均明显高于对照组,而预见组并发症发生率(7.14%)低于对照组(23.81%),两组差异具有统计学意义(P<0.05)。结论:对创伤性骨盆骨折患者应用预见性护理措施,既可预防治疗后并发症,提升治疗安全性,又可提升患者生活质量。
【关键词】预见性护理程序;创伤性骨盆骨折;并发症
骨科创伤性骨盆骨折患者治疗期间,易受多种负面因素影响,导致压疮、静脉血栓等风险发生率上升,不仅易导致部分患者出现严重负面心理问题,甚至抗拒治疗与护理,而且会影响恢复效果。因此,对骨折患者应采用相应护理措施,提早进行有关干预与控制,减轻负面因素对患者影响,改善预后质量。本次研究将我院收治的84例创伤性骨盆骨折患者作为护理观察对象,随机分组后使用不同方式进行护理,比较护理结果,探讨预见性护理程序应用效果,具体分析如下。
1资料及方法
1.1基础资料
将我院收治的84例创伤性骨盆骨折患者作为护理对象,患者入院时间2019年1月至2020年8月,使用随机数字表法对患者进行分组,设置对照组和预见组,每组42例。对照组:男26例,女16例,年龄21-70岁,平均(43.3±2.6)岁,骨折原因:交通事故19例,坠落伤11例,打击伤12例;预见组:男25例,女17例,年龄20-71岁,平均(43.2±2.3)岁,骨折原因:交通事故20例,坠落伤12例,打击伤10例。两组患者基础资料统计分析,结果为P>0.05。
1.2方法
常规护理措施:主要包含密切监测患者病情变化、治疗后恢复情况;指导患者正确使用镇静镇痛和抗炎等药物;详细告知患者骨折及治疗方面相关知识以及护理措施等;为患者提供安静舒适住院环境;指导患者根据恢复状况和肢体耐受程度进行康复训练。
预见性护理措施:(1)影响因素评估:通过与患者进行沟通交流、调查问卷、临床表现观察等方式,掌握患者人口学信息、骨折状况、面色变化、机体状态、心理情绪和生命体征等信息,并在信息整理后详细记录于患者健康手册。(2)健康指导:治疗前利用适合的健康指导方式帮助患者了解骨折方面相关知识,包含治疗方式、围术期管理方式以及相关注意事项等,具体说明有关措施实施原因;同时向患者说明治疗期间有关影响因素,控制方式等,提升患者对护理配合程度。(3)心理护理:对患者实施心理评估,掌握其心理状态变化,结合患者具体心理方面问题,采用介绍骨折手术成功案例等相应方式,提升患者对骨折治疗信心,维持积极心理情绪,防止负面情绪不断增加。(4)疼痛护理:向患者说明疼痛对其影响,并告知缓解疼痛有效措施,必要时使用药物进行镇痛。(5)并发症预防:针对可能存在的并发症采取相应预防措施,如在下肢静脉方面并发症护理中,应抬高双下肢,促进血液回流。
1.3观察指标
(1)生活质量:参考世界卫生组织生存质量测定量表简表(WHOQOL-BREF)[1],共26个评分项,最低1分,最高5分,分数越高生活质量越高。
(2)并发症发生率:统计两组创口感染、压疮、肺炎和便秘几项并发症发生率,发生率越低护理方式实施效果越理想。
1.4统计学方法
采用SPSS22.0统计分析,计量资料、计数资料分别采用t和检验法,P<0.05表明差异具有统计学意义。
2结果
2.1两组患者生活质量比较
预见组各项生活质量指标评分均明显高于对照组(P<0.05),详见表1。
表1 两组患者生活质量评分对比(±s,分)
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)
2.2两组并发症发生率比较
预见组发生率为7.14%明显低于对照组的23.81%(P<0.05),详见表2。
表2 两组患者并发症发生率对比(n,%)
![](data:image/png;base64,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)
3讨论
创伤性骨盆骨折患者治疗后并发症以及促使患者产生的不适感,是影响患者治疗后恢复和生活质量重要因素,为缩短患者痊愈时间,保证预后效果,临床中应采用适合方式对相关影响因素进行控制。以往护理中以常规护理措施为主,可在一定程度上提升患者生活质量,但该护理措施作用有限,且并发症预防作用不理想。因此,近年来临床中开始推广使用预见性护理程序,通过该护理措施确定可能对患者产生影响的多种因素,并采用相应措施进行控制,利于降低患者不适感,提升其生活质量,加快治疗后恢复速度[2]。
本次护理研究结果显示,预见组生理、心理和社会等几方面指标评分均明显高于对照组,组间评分差异显著(P<0.05),而预见组创口感染、压疮和肺炎等并发症发生率(7.14%)均低于对照组(23.81%),两组存在明显差异(P<0.05)。此次研究结果表明,通过对创伤性骨盆骨折患者采用预见性护理程序进行干预,可提升对并发症预防效果,降低多种负面因素对患者影响,利于提升对患者术后干预效果,提升预后质量。
综上所述,对创伤性骨盆骨折患者应用预见性护理程序进行干预,利于及早对影响患者恢复的不良因素进行控制,降低并发症发生风险,促使患者治疗后快速恢复,可有效提升患者生活质量水平。
【参考文献】
[1]黄健,谢伟婵,华锦嫦,等.预见性护理程序在治疗创伤性骨盆骨折患者中的应用及对患者并发症的影响[J].国际护理学杂志,2020,39(17):3170-3173.
[2]梁雅玲,周兰芳,赖碧莹,等.预见性护理程序指导急诊多发肋骨骨折患者急救的护理研究[J].中国当代医药,2020,27(22):229-231.