Evidence map›Paper›PMID 33730106›Full record

ArticlePloS one2021

Development, manufacturing, and preliminary validation of a reusable half-face respirator during the COVID-19 pandemic.

Vahid Anwari, William C K Ng, Arnaud Romeo Mbadjeu Hondjeu, Zixuan Xiao, Edem Afenu, Jessica Trac, Kate Kazlovich, Joshua Hiansen, Azad Mashari

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

9 authors at 3 institutions in 1 country.

Vahid AnwariJoint Department of Medical Imaging, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-5104-2276
William C K NgDepartment of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-0183-8951
Arnaud Romeo Mbadjeu HondjeuDepartment of Anesthesiology and Pain Management, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-6470-4574
Zixuan XiaoFaculty of Medicine, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-7534-6079
Edem AfenuSchool of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
Jessica TracFaculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Kate KazlovichThe Lynn and Arnold Irwin Advanced Perioperative Imaging Lab, Department of Anesthesiology and Pain Management, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Joshua HiansenThe Lynn and Arnold Irwin Advanced Perioperative Imaging Lab, Department of Anesthesiology and Pain Management, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Azad MashariThe Lynn and Arnold Irwin Advanced Perioperative Imaging Lab, Department of Anesthesiology and Pain Management, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-8403-1271
University Health Network · CAUniversity of Toronto · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has led to widespread shortages of N95 respirators and other personal protective equipment (PPE). An effective, reusable, locally-manufactured respirator can mitigate this problem. We describe the development, manufacture, and preliminary testing of an open-hardware-licensed device, the "simple silicone mask" (SSM).

methodsA multidisciplinary team developed a reusable silicone half facepiece respirator over 9 prototype iterations. The manufacturing process consisted of 3D printing and silicone casting. Prototypes were assessed for comfort and breathability. Filtration was assessed by user seal checks and quantitative fit-testing according to CSA Z94.4-18.

resultsThe respirator originally included a cartridge for holding filter material; this was modified to connect to standard heat-moisture exchange (HME) filters (N95 or greater) after the cartridge showed poor filtration performance due to flow acceleration around the filter edges, which was exacerbated by high filter resistance. All 8 HME-based iterations provided an adequate seal by user seal checks and achieved a pass rate of 87.5% (N = 8) on quantitative testing, with all failures occurring in the first iteration. The overall median fit-factor was 1662 (100 = pass). Estimated unit cost for a production run of 1000 using distributed manufacturing techniques is CAD $15 in materials and 20 minutes of labor.

conclusionSmall-scale manufacturing of an effective, reusable N95 respirator during a pandemic is feasible and cost-effective. Required quantities of reusables are more predictable and less vulnerable to supply chain disruption than disposables. With further evaluation, such devices may be an alternative to disposable respirators during public health emergencies. The respirator described above is an investigational device and requires further evaluation and regulatory requirements before clinical deployment. The authors and affiliates do not endorse the use of this device at present.

Indexed as

Personal Protective EquipmentRespiratory Protective DevicesVentilators, MechanicalCOVID-19Equipment DesignEquipment ReuseFaceFiltrationHumansMaterials TestingN95 RespiratorsOccupational ExposurePandemicsPrinting, Three-DimensionalSARS-CoV-2

Identifiers

PMID33730106
PMCPMC7968700
OpenAlexW3138157318

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.