Heat-based N95 mask decontamination and reuse in a large hospital setting

This article has been Reviewed by the following groups

Read the full article

Abstract

The shortage of N95 masks have spurred efforts on developing safe and scientifically-validated decontamination and reuse protocols that are easily scalable and universally applicable even in low-resource settings. We report on the development and implementation of a heat-based N95 mask decontamination system in a large hospital setting (Tata Memorial Hospital, Mumbai, India) with over 8000 N95 masks from about 1400 individual users decontaminated and in reuse till date. We describe the challenges and constraints in choosing a proven, scalable, and easy-to-implement decontamination solution. We discuss the heat treatment and particle filtration efficiency measurement experiments done to validate a decontamination treatment protocol at a target temperature of 70 o C for a duration of 60 minutes, and the scaling up of this method using a standard hot drying cabinet at the hospital. The logistics of ensuring optimal utilization of the decontamination facility without compromising on basic safety principles are detailed. Our method relies on equipment available in standard hospitals, is simple to set-up, scalable, and can be easily replicated in low-resource settings. We further believe such limited reuse strategies, even in times of abundant N95 mask availability, would not only be cost-saving but also be environmentally responsible in reducing the amount of medical waste.

Article activity feed

  1. SciScore for 10.1101/2020.09.28.20203067: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: Thank you for sharing your code.


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.