赵吕
普洱市人民医院 云南普洱 665000
摘要:目的:体检中心应用全程护理干预对其护理质量及满意度的影响分析。方法:选取2019年8月至2020年9月体检中心接收的108例体检者,随机分为对照组(常规护理)和观察组(全程护理干预),对比两组体检指标及护理质量。结果:观察组体检等待时间、所用时间短于对照组,体检效率、可信度及护理满意度高于对照组,差异显著P<0.05。结论:体检中心应用全程护理干预可缩短体检等待时间及所用时间,提高体检效率进而增加患者的满意度,值得借鉴。
关键词:体检中心;全程护理干预;护理质量;满意度
体检中心是疾病筛查及健康体检的场所,近些年随着生活水平的不断提升,人们的健康意识越来越强,定期健康体检人数不断增加,其体检项目较多且多数体检者对正常流程不够了解,等待时间过程会导致其出现各种负性情绪进而引发纠纷或投诉,为改善这一问题重视护理方式的改进很重要,提高护理质量对体检效率有重要意义,常规护理虽有效果但是并不明显,而全程护理干预可有效提高体检效率[1]。本次研究主要对体检中心应用全程护理干预对其护理质量及满意度的影响进行分析。
1、临床资料
1.1一般资料
选取体检中心接收的体检者108例,均为2019年8月至2020年9月间接收,随机分为两组,对照组男、女各29例、25例,年龄32-67岁,平均(46.8±5.5)岁,观察组男、女各30例、24例,年龄33-67岁,平均(46.5±5.8)岁,两组一般资料对比无差异P>0.05。
1.2方法
1.2.1对照组
常规护理:将体检表发放给体检者并指导其按照正常流程进行体检,同时告知其体检时应注意的事项,耐心回答体检者提出的问题。
1.2.2观察组
全程护理干预:(1)体检前:医护人员主动与体检者沟通,了解病史并为其讲解体检前的准备工作及流程,为保证其舒适度要加强对体检中心卫生的清洁,以此来降低体检者因等待过长而产生的负性情绪,进而加强其配合度。(2)体检中:体检过程中医护人员对其体检项目进行有效指导,对于年龄较大的体检者应先引导其进行空腹检查的项目,检查完后进食避免因空腹时间过长而导致其出现低血糖或晕厥的情况,另外过程中医护人员有效维持秩序,保证体检活动能有序进行,进而缩短体检等待时间,提高体检效率。(3)体检后:体检结束后将体检表收回,综合其各项资料及数据汇总分析并告知体检者体检报告的领取时间,根据结果向其解答数据指标并给予相应的建议,另外对体检者进行健康知识宣传,告知其健康体检的重要性,促使其能定期体检以预防疾病的发生。
1.3评价指标
(1)记录两组患者体检等待时间及所用时间并对比。(2)采用问卷调查评估体检效率及可信度,各10分,分数越高越好。(3)应用自制调查表对护理满意度进行评估,总分100分,>85分为满意;65-84分为基本满意;<65分为不满意。满意度=(满意+基本满意)/总例数*100%。
1.4统计学方法
以SPSS22.0处理本文相关结果,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
观察组体检等待时间、所用时间短于对照组,体检效率、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对比
观察组护理满意度高于对照组,差异显著P<0.05,见表2:
表2两组护理满意度对比(n,%)
![](data:image/png;base64,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)
3、讨论
健康体检可以预防疾病且能为临床治疗提供较大的帮助,通过体检人们可以了解自身身体情况,知晓身体是否存在问题,这对生活及工作都有较大保障。体检中心是健康体检的重要场所,其人流量较大且体检项目较多,多数人因不了解体检流程而花费了较多时间,反而会增加其负性情绪的发生,为提高体检效率给予其护理干预是必要的。以往应用的常规护理有效果但一般,为提高护理质量给予其有效护理措施很重要[2]。
全程护理干预是一种新型护理方法,是从体检前、体检中、体检后为其提供全程护理服务,指导其顺利完成体检,进而缩短体检时间提高效率。体检前医护人员会积极与体检者沟通,向其讲解体检的流程并叮嘱其体检前的准备工作,保持体检中心的卫生,体检过程中针对体检者的不同情况给予正确指导,维持秩序是体检能有序进行,缩短体检者的等待时间,体检后根据体检报告向其解释相关数据并给予相应的建议,促使其能引起重视定期体检,以便能及时发现疾病及时治疗[3-4]。此研究结果显示观察组体检等待时间、所用时间短于对照组,体检效果、可信度及满意度均高于对照组。
综上所述,体检中心应用全程护理干预可提高护理质量,增加体检者的满意度,值得推广。
参考文献:
[1]王琴.分析全程护理对体检中心护理质量及护理满意度的影响[J].医学食疗与健康,2020,18(23):112-126.
[2]卞江.程序化护理干预对体检中心护理质量及体检满意度的影响研究[J].饮食保健,2020, 007(005):167-168.
[3]谢学华,刘彦,齐云.程序化和谐护理对提高体检中心护理质量及老年体检者满意度的效果[J].中国老年保健医学,2017,03(78):117-118.
[4]廖娅娟.全程护理干预对体检者健康体检后遵医行为的影响研究[J].当代护士(综合版),2019, 026(007):166-168.