title: Real-time fit of a respirator during simulated health care tasks.
abstract: Fit is an important but difficult-to-predict feature of respirator performance. This study examined a new approach to measuring respirator performance using two continuous direct-reading particle-counting instruments in a simulated health care workplace. A pilot test was conducted with eight experienced health care professionals who passed a traditional quantitative fit test before performing three randomized 10-min health care scenarios (patient assessment [PA], IV treatment [IV], and wound care [WC]). Two TSI Portacount Plus (Model 8020) with N95 Companion (Model 8095) instruments were used to continuously measure 1-sec ambient particle concentrations inside and outside the respirator facepiece. A simulated workplace protection factor (SWPF) was calculated by dividing outside by inside concentrations. Data were log transformed and examined using analysis of variance (ANOVA) between subjects, scenario types, and scenario order. The GM SWPF for the eight subjects, three scenarios per subject, ranged from 172 to 1073 (GSD 1.7 to 3.5) and was significantly different for each subject. A multi-way analysis of variance showed no difference between the three scenario types (PA, IV, WC). There were differences by the order in which scenarios were performed: the third scenario SWPF was significantly different and higher than that of the first and second scenarios. All subjects passed the initial quantitative fit test with a fit factor of at least 100. Five subjects had fit factors greater than 200 and GM scenario SWPFs greater than 400. Three participants with initial fit factors less than 200 had GM scenario SWPFs ranging from 132 to 326. This pilot test demonstrates that it is possible to evaluate instantaneous respirator fit using two quantitative fit test instruments in a simulated health care environment. Results suggest that an initial fit test may be predictive of fit during simulated tasks and that one scenario may be adequate for measuring a simulated workplace protection factor.   [Supplementary materials are available for this article. Go to the publisher's online edition of Journal of Occupational and Environmental Hygiene for the following free supplemental resource: a video for subject D activities overlaid with simulated workplace protection factor data.].
authors.affiliation: University of Minnesota, School of Public Health, Division of Environmental Health Sciences, Minneapolis, MN 55419, USA.
authors.forename: Jessica
authors.initials: J
authors.lastname: Hauge
authors.forename: Marc
authors.initials: M
authors.lastname: Roe
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Brosseau
authors.forename: Craig
authors.initials: C
authors.lastname: Colton
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000395:Air Pollutants, Occupational / Q000032:analysis; D000704:Analysis of Variance; D004869:Equipment Safety; D005240:Feasibility Studies; D005260:Female; D006282:Health Personnel; D006801:Humans; D008297:Male; D008397:Masks / Q000592:standards*; D008875:Middle Aged; D052638:Particulate Matter / Q000032:analysis; D010865:Pilot Projects; D012134:Respiratory Protective Devices / Q000592:standards*; D055815:Young Adult
chemical_list: D000395:Air Pollutants, Occupational; D052638:Particulate Matter