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Striving to be the fittest: quantitative P2/N95 respirator fit test results among hospital staff during the COVID-19 pandemic

Published online by Cambridge University Press:  15 December 2023

Melanie (Meilun) Zhang
Affiliation:
Eastern Health Clinical School, Monash University, Melbourne, AustraliaDepartment of General Surgery, Eastern Health, Melbourne, Australia
Liam Hackett*
Affiliation:
Eastern Health Clinical School, Monash University, Melbourne, AustraliaEastern Health Emergency Medicine Program, Melbourne, Australia
Jesse Smith
Affiliation:
Eastern Health Emergency Medicine Program, Melbourne, Australia
Zoe Pritchard
Affiliation:
Eastern Health Emergency Medicine Program, Melbourne, AustraliaGenitourinary Medicine, Chalmers Centre, NHS Lothian, Scotland
Matthew Casey
Affiliation:
OHS, Emergency Management and Wellbeing, Eastern Health, Melbourne, Australia
Caitlin Low
Affiliation:
Eastern Health Clinical School, Monash University, Melbourne, AustraliaDepartment of Anaesthesia, Pain and Perioperative Medicine, Eastern Health, Melbourne, AustraliaDepartment of Anaesthesia, Austin Health, Melbourne, Australia
Paul Buntine
Affiliation:
Eastern Health Clinical School, Monash University, Melbourne, AustraliaEastern Health Emergency Medicine Program, Melbourne, Australia
*
Corresponding author: Liam Hackett; Email: liam.hackett@easternhealth.org.au

Abstract

Objective:

To provide fit rates for specific P2/N95 respirators and compare these results by age, sex, clean-shaven status, and fit tester experience.

Design:

Exploratory audit involving secondary analysis of existing quantitative fit testing data.

Setting:

In response to the COVID-19 pandemic, healthcare services across Australia implemented respiratory protection protocols. This study details healthcare workers’ (HCWs) fit testing results from a large Victorian public health service.

Participants:

Fit-tested employees of a large tertiary public health network.

Methods:

Fit rates for ten individual P2/N95 respirators were calculated, and the effect of age, sex, clean-shaven status, and fit tester experience was examined via logistic regression.

Results:

4593 employees were included, with 97.98% successfully fitting at least one respirator. Males were found to have significantly increased odds of achieving fit success compared to females (OR 11.61 95%CI 1.60–84.10). Fit rates dropped by 4% with each 1-year age increase (OR 0.96 95%CI 0.94–0.98). Clean-shaven individuals were also more likely to achieve a fit compared to non-clean-shaved individuals (OR 79.23 95%CI 10.21–614.62). More experienced fit testers also yielded significantly higher fit rates (OR 3.95, 95%CI 2.34–6.67).

Conclusions:

98% of staff achieved a successful fitting of at least one respirator, with three-panel flat fold models (Industree Trident, 3M Aura 9320A+, and 3M Aura 1870+) performing the most consistently. An individual’s ability to achieve a successful fit was associated with; male sex, younger age, clean-shaven status, and fit tester experience.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1.Visual representation of facepiece respirators used in eastern health fit testing protocol

Figure 1

Table 2.Characteristics of the Eastern Health fit-tested cohort‡

Figure 2

Figure 1.Proportion of participants by number of P2/N95 respirators with adequate fit.

Figure 3

Table 3.Passed fit tests by age and sex (%)

Figure 4

Table 4.Simple logistic regression results

Figure 5

Table 5.Multiple logistic regression results†

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