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Predictive value of the user seat check in determining half-face respirator fit (2005)_香港中文大学麻醉及深切治療

香港中文大学 辅仁网/2017-06-20

Predictive value of the user seat check in determining half-face respirator fit
Publication in refereed journal


香港中文大学研究人员 ( 现职)
雷兆辉教授 (赛马会公共卫生及基层医疗学院)
Professor Charles David GOMERSALL (麻醉及深切治疗学系)


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Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/13WOS source URL

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摘要Guidelines issued by the Centers for Disease Control, and Prevention and the World Health Organization state that healthcare workers should wear N95 masks or higher-level protection during all contact with suspected cases of severe acute respiratory syndrome. Before use, the manufacturer recommends performing a user seat check to ensure that the mask is fitted correctly. This study aimed to test the ability of the user seat check to detect poorly fitting masks. This study is a retrospective review of a mask-fitting programme carried out in the intensive care unit of the Prince of Wales Hospital in Hong Kong. In this programme, all staff were tested with two types of N95 mask and one type of N100 mask. The results of the documented user seat check were then compared with the formal fit-test results from a PortaCount. Using a PortaCount reading of 100 as the criterion for a correctly fitted mask, the user seat check wrongly indicated that the mask fitted on 18-31% of occasions, and wrongly indicated that it did not fit on 21-40% of occasions. These data indicate that the user seat check should not be used as a surrogate fit test. Its usefulness as a pre-use test must also be questioned. (C) 2004 The Hospital. Infection Society. Published by Elsevier Ltd. All rights reserved.

着者Derrick JL, Chan YF, Gomersall CD, Lui SF
期刊名称Journal of Hospital Infection
出版年份2005
月份2
日期1
卷号59
期次2
出版社W B SAUNDERS CO LTD
页次152 - 155
国际标準期刊号0195-6701
电子国际标準期刊号1532-2939
语言英式英语

关键词aerosols; disease transmission; infection control; occupational; patient-to-professional; respiratory protective devices; safety; severe acute respiratory syndrome
Web of Science 学科类别Infectious Diseases; INFECTIOUS DISEASES

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