Evidence map›Paper›PMID 26831273›Full record

ArticleAmerican journal of infection control2016

Evaluation of the user seal check on gross leakage detection of 3 different designs of N95 filtering facepiece respirators.

Simon C Lam, Andrew K F Lui, Linda Y K Lee, Joseph K L Lee, K F Wong, Cathy N Y Lee

Abstract read
In one paragraph

Article in American journal of infection control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  8. Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clinic.IEEE open journal of engineering in medicine and biology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Simon C LamDivision of Nursing and Health Studies, The Open University of Hong Kong, Hong Kong, China. Electronic address: chlam@ouhk.edu.hk.
Andrew K F LuiComputing, School of Science and Technology, The Open University of Hong Kong, Hong Kong, China.
Linda Y K LeeDivision of Nursing and Health Studies, The Open University of Hong Kong, Hong Kong, China.
Joseph K L LeeDivision of Nursing and Health Studies, The Open University of Hong Kong, Hong Kong, China.
K F WongDivision of Nursing and Health Studies, The Open University of Hong Kong, Hong Kong, China.
Cathy N Y LeeDivision of Nursing and Health Studies, The Open University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of N95 respirators prevents spread of respiratory infectious agents, but leakage hampers its protection. Manufacturers recommend a user seal check to identify on-site gross leakage. However, no empirical evidence is provided. Therefore, this study aims to examine validity of a user seal check on gross leakage detection in commonly used types of N95 respirators.

methodsA convenience sample of 638 nursing students was recruited. On the wearing of 3 different designs of N95 respirators, namely 3M-1860s, 3M-1862, and Kimberly-Clark 46827, the standardized user seal check procedure was carried out to identify gross leakage. Repeated testing of leakage was followed by the use of a quantitative fit testing (QNFT) device in performing normal breathing and deep breathing exercises. Sensitivity, specificity, predictive values, and likelihood ratios were calculated accordingly.

resultsAs indicated by QNFT, prevalence of actual gross leakage was 31.0%-39.2% with the 3M respirators and 65.4%-65.8% with the Kimberly-Clark respirator. Sensitivity and specificity of the user seal check for identifying actual gross leakage were approximately 27.7% and 75.5% for 3M-1860s, 22.1% and 80.5% for 3M-1862, and 26.9% and 80.2% for Kimberly-Clark 46827, respectively. Likelihood ratios were close to 1 (range, 0.89-1.51) for all types of respirators.

conclusionsThe results did not support user seal checks in detecting any actual gross leakage in the donning of N95 respirators. However, such a check might alert health care workers that donning a tight-fitting respirator should be performed carefully.

Indexed as

Equipment FailureHealth PersonnelVentilators, MechanicalAdolescentAdultAnimalsCross-Sectional StudiesFemaleHumansMaleProspective StudiesSelf-ExaminationSensitivity and SpecificityStudents, NursingYoung Adultdisease transmissioninfection controloccupational safetyRespiratory protective devices

Identifiers

PMID26831273
PMCPMC7115279

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.