Your browser doesn't support javascript.
Thinking green: modelling respirator reuse strategies to reduce cost and waste.
Chu, Jacqueline; Ghenand, Omkar; Collins, Joy; Byrne, James; Wentworth, Adam; Chai, Peter R; Dadabhoy, Farah; Hur, Chin; Traverso, Giovanni.
  • Chu J; Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Ghenand O; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Collins J; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Byrne J; Division of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Wentworth A; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Chai PR; Division of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Dadabhoy F; Harvard Radiation Oncology Program, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Hur C; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Traverso G; Division of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
BMJ Open ; 11(7): e048687, 2021 07 18.
Article in English | MEDLINE | ID: covidwho-1316937
ABSTRACT

OBJECTIVES:

To compare the impact of respirator extended use and reuse strategies with regard to cost and sustainability during the COVID-19 pandemic.

DESIGN:

Cost analysis.

SETTING:

USA.

PARTICIPANTS:

All healthcare workers within the USA.

INTERVENTIONS:

Not applicable. MAIN OUTCOME

MEASURES:

A model was developed to estimate usage, costs and waste incurred by several respirator usage strategies over the first 6 months of the pandemic in the USA. This model assumed universal masking of all healthcare workers. Estimates were taken from the literature, government databases and commercially available data from approved vendors.

RESULTS:

A new N95 respirator per patient encounter would require 7.41 billion respirators, cost $6.38 billion and generate 84.0 million kg of waste in the USA over 6 months. One respirator per day per healthcare worker would require 3.29 billion respirators, cost $2.83 billion and generate 37.22 million kg of waste. Decontamination by ultraviolet germicidal irradiation would require 1.64 billion respirators, cost $1.41 billion and accumulate 18.61 million kg of waste. H2O2 vapour decontamination would require 1.15 billion respirators, cost $1.65 billion and produce 13.03 million kg of waste. One reusable respirator with daily disposable filters would require 18 million respirators, cost $1.24 billion and generate 15.73 million kg of waste. Pairing a reusable respirator with H2O2 vapour-decontaminated filters would reduce cost to $831 million and generate 1.58 million kg of waste. The use of one surgical mask per healthcare worker per day would require 3.29 billion masks, cost $460 million and generate 27.92 million kg of waste.

CONCLUSIONS:

Decontamination and reusable respirator-based strategies decreased the number of respirators used, costs and waste generated compared with single-use or daily extended-use of disposable respirators. Future development of low-cost,simple technologies to enable respirator and/or filter decontamination is needed to further minimise the economic and environmental costs of masks.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2021-048687

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2021-048687