张云蕊
普洱市人民医院 云南普洱665000
摘要:目的:观察体检中心优质护理服务中应用健康体检路径的效果。方法:选取2019年7月至2020年9月体检中心接收的298例健康体检人员,随机分为对照组(常规体检)和观察组(健康体检路径),比较两组体检指标、护理满意度及漏检发生率。结果:观察组体检时间短于对照组,且体检效率、体检可信度及护理满意度高于对照组,观察组漏检发生率低于对照组,差异显著P<0.05。结论:体检中心优质护理服务中应用健康体检路径可提高体检效率,缩短体检时间,降低漏检发生率进而提高患者的满意度,值得推广。
关键词:体检中心;优质护理;健康体检路径;满意度;应用效果
生活水平的提升促使人们对自身健康问题更加重视,健康体检已成为一种保健手段,体检中心是健康体检的重要场所,具备完整的设备及人员,通过定期体检可以了解身体状况,也能尽早发现疾病并快速给予治疗,但是实际体检中其项目较多,体检者较多,环境比较嘈杂,为了能维持好环境,保证每一位体检者都能顺利完成体检项目,应用健康体检路径是必要的,这有利益提高服务质量[1]。本次研究主要对体检中心优质护理服务中应用健康体检路径的效果进行观察。
1、临床资料
1.1一般资料
选取体检中心接收的健康体检人员298例,均为2019年7月至2020年9月间接收,随机分为对照组(n=149)和观察组(n=149),对照组男、女各79例、70例,年龄22-76岁,平均(45.9±7.5)岁,观察组男、女各78例、71例,年龄23-76岁,平均(45.5±7.3)岁,经对比两组一般资料显示无差异P>0.05。
1.2方法
1.2.1对照组
常规体检:将体检表发给体检者,告知其相应的科室并叮嘱其需要做的准备工作,指导其有序排队。
1.2.2观察组
健康体检路径:(1)体检前:制定不同体检套餐以满足体检者的不同需求,详细讲解套餐内容及体检流程,告知其体检项目的科室位置及环境,尽可能节省时间,等待体检的人员进入体检中心后需要先填写个人资料,同时医护人员提醒其要注意的问题;(2)体检中:结合体检者的具体情况进行相应的指导,空腹体检的项目提醒其要做空腹准备,而有的项目需要进餐后才能检查,医护人员叮嘱体检者定要按照流程,避免了出现漏检的情况。(3)体检后:收回体检表并检查其是否有漏检,告知其体检报告领取的时间,为其建立健康档案并讲解体检结果,针对结果给予相应的建议,若有异常情况则叮嘱体检者及时去医院就诊,避免延误病情。
1.3评价指标
(1)记录两组体检时间及漏检发生率并对比。(2)采用问卷调查评估体检效率及体检可信度,各10分,分数越高越好。(3)采用自制调查表评估患者的满意度,总分100分,≥80分为非常满意;65-79分基本满意;<65分为不满意。满意度=(非常满意+基本满意)/总例数*100%。
1.4统计学方法
统计学软件应用SPSS24.0,计量资料:(),t检验;计数资料:(n,%),卡方检验。P<0.05差异显著。
2、结果
2.1两组体检指标对比
观察组体检时间短于对照组,且体检效率及可信度高于对照组,差异显著P<0.05,见表1:
表1两组体检指标对比()
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)
2.2两组护理满意度及漏检发生率对比
观察组护理满意度高于对照组,漏检发生率低于对照组,差异显著P<0.05,见表2:
表2两组护理满意度及漏检发生率对比(n,%)
![](data:image/png;base64,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)
3、讨论
定期体检可以监测自身健康水平,也能及时检查出自身存在的疾病隐患,在疾病预防及治疗中有重要作用,近年来生活质量水平不断提升,人们的健康意识越来越强,体检过程中人员较多且项目种类较多,再加上多数体检者不了解体检流程,不能找到体检的相应科室,这不仅会延长体检时间还可能会出现漏检,反而会影响其体检结果,为改善这一情况应用健康体检路径尤为关键[2]。
健康体检路径在全过程都有分工且有专人操作,体检者只需要根据其路径表完成体检即可,这在一定程度上能缩短体检时间,提高体检效率。体检前通过不同套餐满足不同体检者的需求,讲解体检流程,告知其相应的科室并叮嘱要注意的事项,体检过程中根据体检项目指导体检者做好准备,严格按照体检流程进行体检,体检结束后告知其体检报告的领取时间,向其解释体检结果并有针对性的给予相应的建议,对于结果异常的体检者叮嘱其要及时去医院就诊[3-4]。本次研究结果显示观察组体检时间短于对照组,且体检效率、可信度及满意度评分高于对照组,漏检发生低于对照组。
综上所述,体检中心优质护理服务中应用健康体检路径可缩短体检时间,降低漏检发生率进而提高体检者的满意度,值得推广。
参考文献:
[1]刘倩霞.研究健康体检路径在体检中心优质护理服务中的应用[J].医学食疗与健康,2020,18(09):146-148.
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