Browsing by Author "Petersen, Ashley"

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    Developing wipe sampling strategy guidance for assessing environmental contamination of antineoplastic drugs
    (SAGE, 2022-08) Arnold, Susan; Jeronimo, Matthew; Astrakianakis, George; Kunz, Miranda; Petersen, Ashley; Chambers, Carole; Malard Johnson, Darcy; Zimdars, Emily; Davies, Hugh W
    Surveillance for environmental contamination of antineoplastic drugs has been recommended by authoritative bodies such as the United States Pharmacopeia and the National Association of Pharmacy Regulatory Authorities. Clear guidance is needed on how to develop sampling strategies that align with surveillance objectives efficiently and effectively. We con- ducted a series of simulations using previously collected surveillance data from nine cancer treatment centers to evaluate different sampling strategies. We evaluated the impact of sampling 2, 5, 10, or 20 surfaces, at monthly, quarterly, semi- annual, and annual frequencies, while employing either a random or sentinel surface selection strategy to assess contam- ination by a single antineoplastic drug (AD) or by a panel of three ADs. We applied two different benchmarks: a binary benchmark of above or below the limit of detection and AD-specific hygienic guidance values, based on 90th percentile values as quantitative benchmarks. The use of sentinel surfaces to evaluate a three-drug panel relative to 90th percentile hygienic guidance values (HGVs) resulted in the most efficient and effective surveillance strategy.
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    N95 filtering facepiece respirator fit test performance for the general population attending Minnesota State Fair 2021 and 2022
    (2024-10-07) Bagheri Hosseinabadi, Majid; Yu, Minji; Petersen, Ashley; Griffin, Linsey; Durfee, William; Arnold, Susan; arnol353@umn.edu; Arnold, Susan; Division of Environmental Health Sciences, University of Minnesota
    This study aimed to investigate the performance of the general population passing quantitative fit tests for one type of N95 respirator (3M Aura Respirator 9205+) and consider the role of gender, age, race/ethnicity, and facial hair in the fit testing pass rate. The data was collected using a demographic questionnaire from the general population attending the Minnesota state fair 2021 and 2022. Demographic information included age (in years), gender, race/ethnicity, and facial hair (yes/no and type). Each participant also performed quantitative fit testing of N95 respirators (3M Aura Respirator 9205+) using a TSI PortaCount Pro+ model 8038. Fit testing was conducted according to the quantitative OSHA 29 CFR 1910.134 standard protocol with a criterion of ≥100 for pass level fit factor.