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Evidence-based aerosol clearance times in a healthcare environment.
Hara, Seth A; Rossman, Timothy L; Johnson, Lukas; Hogan, Christopher J; Sanchez, William; Martin, David P; Wehde, Mark B.
  • Hara SA; Division of Engineering, Mayo Clinic, Rochester, MN, USA.
  • Rossman TL; Division of Engineering, Mayo Clinic, Rochester, MN, USA.
  • Johnson L; Division of Facilities Management, Mayo Clinic, Rochester, MN, USA.
  • Hogan CJ; University of Minnesota, Minneapolis, MN, USA.
  • Sanchez W; Gastroenterology, Mayo Clinic, Rochester, MN, USA.
  • Martin DP; Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA.
  • Wehde MB; Division of Engineering, Mayo Clinic, Rochester, MN, USA.
Infect Prev Pract ; 3(4): 100170, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1446728
ABSTRACT

BACKGROUND:

As researchers race to understand the nature of COVID-19 transmission, healthcare institutions must treat COVID-19 patients while also safeguarding the health of staff and other patients. One aspect of this process involves mitigating aerosol transmission of the SARS-CoV2 virus. The U.S. Centers for Disease Control and Prevention (CDC) provides general guidance on airborne contaminant removal, but directly measuring aerosol clearance in clinical rooms provides empirical evidence to guide clinical procedure.

AIM:

We present a risk-assessment approach to empirically measuring and certifying the aerosol clearance time (ACT) in operating and procedure rooms to improve hospital efficiency while also mitigating the risk of nosocomial infection.

METHODS:

Rooms were clustered based on physical and procedural parameters. Sample rooms from each cluster were randomly selected and tested by challenging the room with aerosol and monitoring aerosolized particle concentration until 99.9% clearance was achieved. Data quality was analysed and aerosol clearance times for each cluster were determined.

FINDINGS:

Of the 521 operating and procedure rooms considered, 449 (86%) were issued a decrease in clearance time relative to CDC guidance, 32 (6%) had their clearance times increased, and 40 (8%) remained at guidance. The average clearance time change of all rooms assessed was a net reduction of 27.8%.

CONCLUSION:

The process described here balances the need for high-quality, repeatable data with the burden of testing in a functioning clinical setting. Implementation of this approach resulted in a reduction in clearance times for most clinical rooms, thereby improving hospital efficiency while also safeguarding patients and staff.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Infect Prev Pract Year: 2021 Document Type: Article Affiliation country: J.infpip.2021.100170

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Infect Prev Pract Year: 2021 Document Type: Article Affiliation country: J.infpip.2021.100170