荧光标记法结合PDCA管理对提高多重耐药菌感染患者环境清洁质量的作用

张娟; 许同梅; 林宁; 谢强; 涂秀; 张岚岚

doi:10.16766/j.cnki.issn.1674-4152.002612

荧光标记法结合PDCA管理对提高多重耐药菌感染患者环境清洁质量的作用

doi: 10.16766/j.cnki.issn.1674-4152.002612

张娟¹,
许同梅¹,
林宁²,
谢强³,
涂秀³,
张岚岚^4, ,

1.
安徽医科大学附属滁州医院(滁州市第一人民医院)感染管理科，安徽滁州 239000
2.
安徽医科大学附属滁州医院(滁州市第一人民医院)神经外二科
3.
安徽医科大学附属滁州医院(滁州市第一人民医院)检验科
4.
安徽医科大学附属滁州医院(滁州市第一人民医院)科教科

基金项目:

安徽省重点研究和开发计划项目 201904a07020005

详细信息

通讯作者:
张岚岚, E-mail: 2086355573@qq.com

中图分类号: R197.323.4
计量
- 文章访问数: 377
- HTML全文浏览量: 221
- PDF下载量: 4
- 被引次数: 0
出版历程
- 收稿日期: 2021-08-13
- 网络出版日期: 2022-09-26

Effect of fluorescent labeling combined with PDCA management on improving environmental cleaning quality in patients with multiple resistant bacteria

1.
Department of Infection Management, Chuzhou Hospital Affiliated to Anhui Medical University (the First People ' s Hospital of Chuzhou City), Chuzhou, Anhui 239000, China

摘要

摘要: 目的针对医院多重耐药菌感染患者的环境清洁质量管理问题，通过开展质量循环改进(plan-do-check-action，PDCA)管理与荧光标记法相结合的干预措施，为临床提高此类患者环境清洁质量的相关研究提供参考依据。方法选取滁州市第一人民医院多重耐药菌感染患者床单元作为研究对象，其中2019年1—3月利用荧光标记法对多重耐药菌感染患者床单元的清洁状况进行基线调查(对照组)。2019年4—6月利用荧光标记法监测患者床单元清洁质量，结合监测-反馈培训-改进和提高的PDCA管理模式来逐步提高多重耐药菌感染患者床单元环境清洁质量(观察组)。记录2个时间段内荧光标注的反馈效果，同时对2个时段内多重耐药菌感染患者的防控措施落实情况应用SPSS 22.0统计学软件进行统计比较。结果与对照组相比，观察组的荧光标注点清除率和其他环境中发现的荧光点数占比分别由59.87%(282/471)和6.79%(32/471)改善至88.03%(412/468)和1.92%(9/468)，组间比较差异具有统计学意义(均P < 0.05)。结论通过开展PDCA管理与荧光标记法相结合的干预措施，能够有效提高医院多重耐药菌感染患者的环境清洁质量管理的效果。
- 荧光标记法 /
- PDCA管理 /
- 多重耐药 /
- 清洁质量
Abstract: Objective To solve the environmental cleaning quality management problems of patients with multidrug-resistant bacteria infection in hospital, through the combination of plan-do-check-action (PDCA) management and fluorescent labeling, to provide reference for clinical research on improving the environmental cleaning quality of such patients. Methods The bed linen of patients with multidrug-resistant bacteria infection in the First People ' s Hospital of Chuzhou City was selected as the research object. From January to March 2019, the cleaning status of bed linen of patients with multidrug-resistant bacteria infection was baseline investigated by fluorescence labeling (control group). From April to June 2019, the cleaning quality of patients ' bedsheets were monitored by fluorescence labeling method, and the environmental cleaning quality of patients ' bedsheets were gradually improved by combining the monitoring- feedback training- improvement and enhancement of PDCA management mode (observation group). The feedback effect of fluorescence labeling in two time periods was recorded. Meanwhile, the implementation of prevention and control measures for patients with multidrug-resistant bacteria infection in the two periods was compared. Results Compared with the control group, the clearance rate of fluorescent labeling points and the proportion of fluorescent spots detected in other environments in the observation group were improved from 59.87% (282/471) and 6.79% (32/471) to 88.03% (412/468) and 1.92% (9/468), the differences were statistically significant between groups (all P < 0.05). Conclusion The combination of PDCA management and fluorescent labeling can effectively improve the effect of environmental cleaning quality management in hospital patients with multidrug-resistant bacteria infection.
- Fluorescent labeling /
- PDCA management /
- Multiple resistant bacteria /
- Clean quality

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表 1 2个时间段内荧光标注的反馈效果比较

Table 1. Comparison of the feedback effect of fluorescence labeling in two time periods

组别	荧光标注位点总数	荧光标注清除数	荧光标记未被清除点数	其他环境中发现荧光点数	荧光标注点清除率(%)	其他环境中发现荧光点数占比率(%)
对照组	471	282	189	32	59.87	6.79
观察组	468	412	56	9	88.03	1.92
χ²值					96.543	13.338
P值					< 0.001	< 0.001

下载: 导出CSV

表 2 2个时间段内多重耐药菌感染患者的防控措施落实情况比较[例(%)]

Table 2. Comparison of the implementation of prevention and control measures in patients with multidrug-resistant bacteria infection in two time periods[cases (%)]

组别	例数	隔离医嘱及时下达	隔离标识放置	医疗用品专人专用	医疗废物正确处理	环境清洁消毒合格
对照组	101	96(95.05)	99(98.02)	94(93.07)	97(96.04)	58(57.43)
观察组	114	106(92.98)	112(98.25)	108(94.74)	108(94.74)	100(87.72)
χ²值		0.403	0.147	0.262	0.016	25.225
P值		0.526	0.702	0.609	0.898	< 0.001

下载: 导出CSV

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