消毒供应中心外来医疗器械处置现况Meta分析
Meta-analysis assessing the contemporary state of disposal practices for loaned instruments in central sterile supply department
郭立 1莫军军 2吴琦 2沈红梅2
作者信息
- 1. 浙江中医药大学护理学院,浙江杭州 310053
- 2. 浙江大学医学院附属第一医院
- 折叠
摘要
目的 评价全国医院消毒供应中心外来医疗器械多项管理指标落实状况.方法 检索Pubmed、Cochrane Library、中国知网等中英文数据库中2010年1月—2023年9月关于我国各地医院外来医疗器械处置管理状况的横断面研究文献,2位研究者独立筛选文献,评估文献质量并提取数据,使用Stata 12.0软件进行Meta分析.结果 共纳入12篇文献,包括4 768家医院.Meta分析结果显示,83%的医院外来医疗器械术前处置规范,55%的医院术后处置规范;78%的医院落实信息化追溯;58%的医院对外来医疗器械进行首次灭菌参数及有效性测试;61%的医院器械包重量、体积符合规范.结论 我国医院消毒供应中心存在对外来医疗器械质量管理多项指标落实率低的问题,建议医院贯彻执行行业标准要求,加强外来医疗器械科学管理,保障其质量安全.
Abstract
Objective To evaluate the implementation of multiple managementindicatorsfor loaned instruments in hospital Central Sterile Supply Department(CSSD)national wide.Method Cross-sectional research literature on the disposal and management of external medical devices in hospitals across the country from January 2010 to September 2023 were retrieved from Chinese and English databases,including PubMed,Cochrane Library,and China National Knowledge Infrastructure.Two researchers independently screened the literature.The quality of literatures were evaluated and the data were extracted.Meta-analysis was performed using Stata 12.0 software.Results A total of 12 articles were included,involving 4 768 hospitals.The Meta-analysis showed that 83%of hospitals had standardized preoperative disposal of loaned instruments,and 55%had standardized postoperative disposal.Additionally,78%of hospitals implemented information traceability,58%conducted initial sterilization parameters and effectiveness tests,and 61%had device package weights and volumes meeting specifications.Conclusion There is a low implementation rate of multiple quality management indicators for loaned instruments in CSSD in the country.It is recommended that hospitals adhere to industry standards,strengthen scientific management of external medical devices,and ensure their quality and safety.
关键词
外来医疗器械/处置/Meta分析/循证护理学Key words
loaned instruments/disposal/Meta-analysis/evidence-based nursing引用本文复制引用
基金项目
浙江省医药卫生科技计划(2022-KY1-001-211)
出版年
2024
NETL
NSTL
万方数据