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Human Factors Risk Analyses of a Doffing Protocol for Ebola-Level Personal Protective Equipment: Mapping Errors to Contamination.

Authors :
Mumma JM
Durso FT
Ferguson AN
Gipson CL
Casanova L
Erukunuakpor K
Kraft CS
Walsh VL
Zimring C
DuBose J
Jacob JT
Source :
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2018 Mar 05; Vol. 66 (6), pp. 950-958.
Publication Year :
2018

Abstract

Background: Doffing protocols for personal protective equipment (PPE) are critical for keeping healthcare workers (HCWs) safe during care of patients with Ebola virus disease. We assessed the relationship between errors and self-contamination during doffing.<br />Methods: Eleven HCWs experienced with doffing Ebola-level PPE participated in simulations in which HCWs donned PPE marked with surrogate viruses (ɸ6 and MS2), completed a clinical task, and were assessed for contamination after doffing. Simulations were video recorded, and a failure modes and effects analysis and fault tree analyses were performed to identify errors during doffing, quantify their risk (risk index), and predict contamination data.<br />Results: Fifty-one types of errors were identified, many having the potential to spread contamination. Hand hygiene and removing the powered air purifying respirator (PAPR) hood had the highest total risk indexes (111 and 70, respectively) and number of types of errors (9 and 13, respectively). ɸ6 was detected on 10% of scrubs and the fault tree predicted a 10.4% contamination rate, likely occurring when the PAPR hood inadvertently contacted scrubs during removal. MS2 was detected on 10% of hands, 20% of scrubs, and 70% of inner gloves and the predicted rates were 7.3%, 19.4%, 73.4%, respectively. Fault trees for MS2 and ɸ6 contamination suggested similar pathways.<br />Conclusions: Ebola-level PPE can both protect and put HCWs at risk for self-contamination throughout the doffing process, even among experienced HCWs doffing with a trained observer. Human factors methodologies can identify error-prone steps, delineate the relationship between errors and self-contamination, and suggest remediation strategies.

Details

Language :
English
ISSN :
1537-6591
Volume :
66
Issue :
6
Database :
MEDLINE
Journal :
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Publication Type :
Academic Journal
Accession number :
29471368
Full Text :
https://doi.org/10.1093/cid/cix957